WEBVTT 00:01:18.912 --> 00:01:21.449 Deloitte One deploy confirmed. 00:01:37.897 --> 00:01:41.668 Good morning everyone and welcome to Deloitte Forward. 00:01:41.801 --> 00:01:46.005 This is our first ever innovation and technology showcase, 00:01:46.439 --> 00:01:49.776 and I got to tell you, I'm here in front of a live audience and the energy... 00:01:52.712 --> 00:01:55.714 ... the energy, the excitement, you know, I can't wait 00:01:55.714 --> 00:01:57.750 for the next couple of hours we're going to spend together. 00:01:58.284 --> 00:01:60.286 So, you're here because the rules of your industry, 00:01:60.286 --> 00:02:02.188 they're being rewritten. 00:02:02.188 --> 00:02:04.324 Your competitors are moving faster, 00:02:04.324 --> 00:02:06.159 your customers expect more, 00:02:06.159 --> 00:02:09.095 and the gap between strategy and execution, 00:02:09.095 --> 00:02:11.231 it's never felt wider. 00:02:11.231 --> 00:02:14.234 The question isn't whether AI will transform your business, 00:02:14.367 --> 00:02:16.703 it's whether you'll lead that transformation 00:02:16.703 --> 00:02:19.706 or will you be left responding to it? 00:02:19.906 --> 00:02:21.207 Here's what we know. 00:02:21.207 --> 00:02:24.175 We're facing pressure to deliver outcomes faster 00:02:24.175 --> 00:02:26.613 while managing unprecedented complexity, 00:02:27.213 --> 00:02:30.683 the need to modernize legacy systems while keeping your business running, 00:02:31.518 --> 00:02:34.821 competition from players that didn't even exist five years ago, 00:02:35.722 --> 00:02:36.656 and your board? 00:02:36.656 --> 00:02:38.691 They expect an AI strategy, 00:02:38.691 --> 00:02:41.394 but you're uncertain about where are you going to start, 00:02:41.394 --> 00:02:44.030 how are you going to grow it, how are you going to do this? 00:02:44.030 --> 00:02:47.033 So, you need partners who don't just understand these challenges, 00:02:47.367 --> 00:02:49.235 you need partners who have already solved them. 00:02:50.403 --> 00:02:52.805 Over the next 90 minutes, you're going to see how leading 00:02:52.805 --> 00:02:56.376 organizations are turning these pressures into competitive advantages. 00:02:56.876 --> 00:03:00.146 You'll see working solutions, not concepts, 00:03:00.413 --> 00:03:03.783 not road maps, real solutions driving outcomes, 00:03:04.150 --> 00:03:08.188 and this is across all of our sectors, from health care to financial services, 00:03:08.188 --> 00:03:11.191 to manufacturing, consumer, and the public sector. 00:03:11.958 --> 00:03:15.562 Everything you'll see is proven and deployable now. 00:03:16.496 --> 00:03:18.765 Let me tell you about some of the results. 00:03:18.765 --> 00:03:24.404 We're seeing up to 4 billion in cost savings for a leading health care client, 00:03:24.837 --> 00:03:29.542 30 to 40% reduction in insurance claims call volumes for a national insurer, 00:03:30.243 --> 00:03:33.546 50% faster financial close for a leading tech provider. 00:03:34.414 --> 00:03:37.484 These are just a few examples you're going to hear about because 00:03:37.484 --> 00:03:42.355 here's the truth. Your expectations have evolved, and so has Deloitte. 00:03:43.323 --> 00:03:47.193 You want platforms that deliver value on day one. 00:03:48.261 --> 00:03:49.762 That's exactly what you're going to see, 00:03:49.762 --> 00:03:54.535 solutions that are AI powered, industry-specific platforms, and 00:03:54.535 --> 00:03:58.771 digital workforces that are transforming how outcomes get delivered, 00:03:59.739 --> 00:04:02.675 and there's no one better positioned to explain why this matters 00:04:02.675 --> 00:04:06.412 for your business, for the future of professional services as well, 00:04:06.746 --> 00:04:11.152 than our very own Deloitte Consulting CEO, Jason Salzetti. 00:04:12.685 --> 00:04:13.820 Thank you, Kelly. 00:04:13.820 --> 00:04:15.955 It's great to be here with all of you, 00:04:15.955 --> 00:04:18.958 and thank you for taking the time to be part of this. 00:04:19.125 --> 00:04:22.128 What we're unveiling today isn't just a milestone, 00:04:22.195 --> 00:04:26.199 it's a defining chapter for Deloitte and the next evolution of who we are. 00:04:27.166 --> 00:04:30.169 Before we move any further, let's take a quick step back. 00:04:30.870 --> 00:04:34.641 Yes, there are elements that make today's wave of AI innovation unique, 00:04:34.874 --> 00:04:38.043 but this isn't the first wave of disruption we've navigated. 00:04:36.38.043 --> 00:04:42.015 In my own time with the firm, I've seen us lead through several. 00:04:42.015 --> 00:04:44.651 At the risk of dating myself, when I joined Deloitte, 00:04:44.651 --> 00:04:47.654 the dot-com 1.0 era was just taking off. 00:04:48.087 --> 00:04:51.257 I still remember the buzz in the Bay Area in the mid 90s, 00:04:51.291 --> 00:04:53.926 exciting, if not a bit overhyped. 00:04:53.926 --> 00:04:57.697 Some even predicted the physical retail world would disappear entirely. 00:04:58.231 --> 00:05:01.534 Of course, it didn't play out exactly that way, but the dot-com boom 00:05:01.534 --> 00:05:04.537 unleashed a wave of transformation and innovation. 00:05:05.305 --> 00:05:09.676 Fast forward, and we saw the rise of cloud, reshaping data and storage, 00:05:09.909 --> 00:05:13.713 the arrival of mobile and the explosion of social media, 00:05:13.713 --> 00:05:15.815 each driving its own disruption. 00:05:15.815 --> 00:05:18.751 And in 2012, we launched Deloitte Digital, 00:05:18.751 --> 00:05:21.821 creating entirely new category and professional services 00:05:21.821 --> 00:05:25.692 at the intersection of business strategy, creative design, and technology. 00:05:26.192 --> 00:05:30.563 The bottom line, innovating, transforming, meeting the moment 00:05:30.563 --> 00:05:34.267 have been woven into the fabric of our firm from the beginning. 00:05:35.068 --> 00:05:38.037 That's why it's rare for any 5- or 10-year span at Deloitte 00:05:38.037 --> 00:05:39.739 to look like the one before it, 00:05:39.739 --> 00:05:42.742 and that's a fact we should all be proud of. 00:05:42.875 --> 00:05:45.378 How we've evolved through each innovation cycle 00:05:45.378 --> 00:05:48.381 has reinforced our position as a market leader, 00:05:48.514 --> 00:05:51.751 and the way we're moving forward today is part of that same story. 00:05:52.285 --> 00:05:56.122 Deloitte has always met the moment, and this is no exception. 00:05:57.390 --> 00:06:00.360 Everywhere we turn, we hear the same refrains, 00:06:00.360 --> 00:06:02.028 these are unprecedented times, 00:06:02.028 --> 00:06:04.964 the pace of change is unlike anything we've ever seen, 00:06:04.964 --> 00:06:08.767 AI is transforming everything, and they're right, but here's 00:06:08.767 --> 00:06:12.071 the difference with Deloitte. While others scramble to catch up, 00:06:12.238 --> 00:06:15.241 we've been building towards this moment for decades. 00:06:15.408 --> 00:06:19.278 Today's wave of innovation isn't just changing the tools we use, 00:06:19.379 --> 00:06:22.648 it's reshaping the very core of professional services. 00:06:23.483 --> 00:06:25.785 Services will always be our growth engine, 00:06:25.785 --> 00:06:28.654 but to lead, we must expand our vision. 00:06:28.654 --> 00:06:31.391 We've always delivered outcomes for our clients. 00:06:31.391 --> 00:06:35.261 That won't change, but what must change is how we do this. 00:06:35.928 --> 00:06:40.700 That's why today, we're taking the next step, evolving our expertise 00:06:40.700 --> 00:06:46.038 into ready-to-use solutions: software, data products, and AI agents, 00:06:46.806 --> 00:06:49.442 and here's what's powerful about this evolution. 00:06:49.442 --> 00:06:53.679 These solutions and agents scale beyond what traditional consulting ever could, 00:06:54.147 --> 00:06:59.118 working 24/7 to deliver continuous value for our clients. Why? 00:06:59.819 --> 00:07:02.822 Because our clients expectations are shifting fast. 00:07:02.855 --> 00:07:04.690 They want outcomes on day one, 00:07:04.690 --> 00:07:07.994 platforms that scale with their business and the confidence 00:07:07.994 --> 00:07:11.264 that what works today will carry them into tomorrow. 00:07:12.331 --> 00:07:15.234 The future of our industry isn't traditional consulting 00:07:15.234 --> 00:07:19.272 or pure technology alone, it's the fusion of both, 00:07:19.272 --> 00:07:23.276 Deloitte's trusted partnerships, modernized core capabilities 00:07:23.443 --> 00:07:28.481 combined with scalable tech-enabled delivery and AI-powered solutions. 00:07:28.948 --> 00:07:31.951 This isn't a pivot, it's an evolution, 00:07:32.018 --> 00:07:34.887 and we're leading it with confidence, with proof, 00:07:34.887 --> 00:07:38.291 and the full force of our technology and engineering capabilities. 00:07:39.192 --> 00:07:42.562 So, what you'll see today is the result of sustained commitment, 00:07:42.728 --> 00:07:45.932 strategic investment, and the brilliant work of our people. 00:07:46.599 --> 00:07:48.534 The future isn't something we wait for, 00:07:48.534 --> 00:07:51.671 it's something we shape, and we are shaping it together. 00:07:52.738 --> 00:07:56.008 Now, I'll hand it over to Brett to take you deeper into 00:07:56.008 --> 00:07:59.011 how we've been preparing for this moment. 00:08:00.179 --> 00:08:03.583 Thank you, Jason. 00:08:05.217 --> 00:08:08.017 Now, as you've heard, 00:08:08.017 --> 00:08:11.390 the platforms, the products, the agents we're announcing today, 00:08:12.058 --> 00:08:15.061 they're the result of our over a decade of sustained commitment, 00:08:15.127 --> 00:08:18.164 working alongside our clients and our alliance partners 00:08:18.331 --> 00:08:21.934 to build solutions that solve real problems in real industries. 00:08:22.668 --> 00:08:25.872 We didn't wait for this moment, we prepared for it. 00:08:25.872 --> 00:08:28.409 Now, here's what sustained commitment looks like. 00:08:28.442 --> 00:08:32.345 In 2012, as Jason said, we launched Deloitte Digital with the acquisition 00:08:32.345 --> 00:08:36.382 of Uber Mind. This created a category-defining intersection 00:08:36.382 --> 00:08:40.553 for professional services at business strategy, creative design, and technology. 00:08:41.220 --> 00:08:43.288 Near and dear to my heart, in 2014, 00:08:43.288 --> 00:08:47.760 we launched ConvergeHEALTH with an initial $250 million investment, 00:08:47.927 --> 00:08:50.296 recognizing that the digitization of health care 00:08:50.296 --> 00:08:53.299 and the shift to the cloud would create a generational opportunity 00:08:53.432 --> 00:08:56.402 to achieve personalized, value-based health care. 00:08:57.236 --> 00:09:01.007 In 2017, we acquired innoWake, our app modernization product 00:09:01.007 --> 00:09:03.108 and solution business that has modernized 00:09:03.108 --> 00:09:06.445 hundreds of businesses in both the public sector and in commercial. 00:09:07.547 --> 00:09:11.282 In 2022, we didn't rest on our laurels with ConvergeHEALTH. 00:09:11.282 --> 00:09:14.020 We invested another $750 million to expand 00:09:14.020 --> 00:09:17.223 Converge into the financial services and consumer sectors. 00:09:18.090 --> 00:09:22.662 Also in 2022, recognizing the revolution that was about to occur in manufacturing, 00:09:23.129 --> 00:09:27.500 we launched The Smart Factory @ Wichita with an ecosystem of over 20 technology 00:09:27.500 --> 00:09:32.305 partners to completely reimagine smart operations and manufacturing. 00:09:33.472 --> 00:09:37.910 Last year, in 2024, we announced our $2 billion IndustryAdvantage investment. 00:09:38.277 --> 00:09:41.514 This signaled our intent to expand our focus on industry-specific 00:09:41.514 --> 00:09:45.084 platforms and solutions that address unique sector challenges, 00:09:45.585 --> 00:09:48.387 some of what you're going to hear about for the first time today. 00:09:48.387 --> 00:09:52.358 And in 2024, at the Paris Olympics, we launched the Converge 00:09:52.425 --> 00:09:56.295 by Deloitte for Sports, supporting the Olympic Fan Data Platform. 00:09:57.463 --> 00:10:00.533 And then just earlier this year at NVIDIA's GTC conference, 00:10:00.733 --> 00:10:04.604 we launched signaling the era of Deloitte's Digital Workforce. 00:10:05.571 --> 00:10:08.975 Today, these products and solutions are live in over 30 countries, 00:10:09.108 --> 00:10:12.111 supporting clients in every sector that we serve. 00:10:13.279 --> 00:10:16.248 Today, at Forward, you're going to hear about three exciting platforms 00:10:16.248 --> 00:10:18.884 powering the future of Deloitte and how we deliver value 00:10:18.884 --> 00:10:21.020 that's build on this sustained commitment: 00:10:21.020 --> 00:10:24.890 our Converge Industry Solutions, Zora AI, our Digital Workforce, 00:10:25.324 --> 00:10:28.327 all powered, built, and delivered on Ascend. 00:10:28.928 --> 00:10:31.430 Now, let's start with some exciting Converge by Deloitte 00:10:31.430 --> 00:10:34.433 Industry Solution announcements. 00:10:34.500 --> 00:10:38.604 In this AI era, data is critical for both us and for our clients. 00:10:39.538 --> 00:10:43.309 That's why I'm excited to announce our Converge by Deloitte Data Fabric. 00:10:43.976 --> 00:10:46.278 It's the richest data fabric in the market. 00:10:46.278 --> 00:10:49.882 In fact, at this point, it's virtually a digital twin of the economy. 00:10:50.650 --> 00:10:53.986 It brings together data from over 200-plus data domains, 00:10:54.353 --> 00:10:56.023 from demographics to lifestyle, 00:10:57.023 --> 00:10:59.959 to spending habits, to mobility, to consumer sentiment 00:10:59.959 --> 00:11:03.563 to behavior across thousands of businesses and brands, including 00:11:03.563 --> 00:11:08.000 40,000-plus local markets and more than 250 million-plus consumers. 00:11:09.135 --> 00:11:10.836 Now, when we combine that data fabric 00:11:10.836 --> 00:11:14.407 with our clients' own first-party data, magic happens. 00:11:15.341 --> 00:11:17.576 The result is transformative. 00:11:17.576 --> 00:11:21.080 And as you can see behind me, it's a complete living view of customers' 00:11:21.080 --> 00:11:24.383 markets, opportunities, and risks that matter most. 00:11:25.317 --> 00:11:26.819 Now, we didn't stop there. 00:11:26.819 --> 00:11:30.289 On top of that foundation, we've built a portfolio of software products, 00:11:30.289 --> 00:11:33.592 including new agentic features that power better decisions, 00:11:34.393 --> 00:11:38.230 products that forecast demand, optimize pricing across locations, 00:11:38.631 --> 00:11:42.635 and personalize experiences for millions of customers and employees every day. 00:11:43.669 --> 00:11:46.038 Now, what makes Converge different from other solutions? 00:11:46.038 --> 00:11:48.641 It's built for your specific sector 00:11:48.641 --> 00:11:51.644 and business, focused on results that matter to you. 00:11:51.744 --> 00:11:53.513 It's your industry advantage. 00:11:54.513 --> 00:11:56.415 Now, our second big announcement for today is 00:11:56.415 --> 00:12:00.186 we are expanding our Converge Industry Storefront, building on this foundation 00:12:00.419 --> 00:12:03.422 to serve more sectors that we have the privilege of serving. 00:12:03.889 --> 00:12:06.859 From health care to grocery, from auto to sports, 00:12:06.859 --> 00:12:10.696 you'll see Converge at Work across sectors, each vertical platform 00:12:10.696 --> 00:12:13.799 built to solve high-value heart-of-the-business decisions. 00:12:14.734 --> 00:12:17.102 And to bring this to life, let's start with an industry 00:12:17.102 --> 00:12:20.406 where that transformation is happening already, health care. 00:12:20.406 --> 00:12:23.009 Please welcome my colleague, Dr. Kulleni Gebreyes, our Vice Chair 00:12:23.009 --> 00:12:26.313 and US Life Sciences & Health Care Industry Leader, 00:12:26.313 --> 00:12:28.781 to talk about how Converge Deloitte Solutions 00:12:28.781 --> 00:12:31.917 when combined with our services, are redefining the health care value chain. 00:12:32.051 --> 00:12:32.854 Kulleni. 00:12:40.493 --> 00:12:41.360 Thank you, Brett. 00:12:41.360 --> 00:12:45.131 You know, when people talk about the new era of 00:12:45.131 --> 00:12:48.734 AI-powered business transformation, I have to smile 00:12:49.101 --> 00:12:52.938 because in health care, we've been delivering that way since 2014. 00:12:53.706 --> 00:12:56.175 Here's what drives us in this work. 00:12:56.175 --> 00:12:58.210 Health care goes beyond data systems. 00:12:58.210 --> 00:13:01.981 It's about people, patients waiting for answers, 00:13:01.981 --> 00:13:04.550 families navigating uncertainty, 00:13:04.550 --> 00:13:08.654 providers trying to deliver care while buried under administrative work, 00:13:09.155 --> 00:13:13.125 hospitals struggling to sustainably provide quality patient care 00:13:13.325 --> 00:13:16.796 while also expanding access to those who need it most. 00:13:17.696 --> 00:13:20.699 Every inefficiency in health care has a human cost. 00:13:21.567 --> 00:13:24.570 Every delay impacts real lives. 00:13:24.770 --> 00:13:28.374 Every administrative burden pulls resources away from patients. 00:13:29.008 --> 00:13:32.011 As health care is digitizing at scale for the first time, 00:13:32.178 --> 00:13:36.048 we saw the opportunity in the market to build cloud-native products 00:13:36.048 --> 00:13:39.351 to fill the gaps that off-the-shelf software products didn't do, 00:13:39.885 --> 00:13:41.921 and we did just that. 00:13:43.222 --> 00:13:45.724 Let me bring this to life with an example. 00:13:45.724 --> 00:13:47.960 One of the nation's largest health care systems 00:13:47.960 --> 00:13:50.963 came to us with a challenge that sounds familiar today. 00:13:51.230 --> 00:13:55.234 They had massive amounts of data flowing from over 100 hospitals, 00:13:55.801 --> 00:13:58.204 each with different systems and processes, 00:13:58.204 --> 00:14:01.407 but no way to turn it into actionable intelligence. 00:14:02.074 --> 00:14:05.411 Traditional consulting would have built a custom solution; 00:14:05.778 --> 00:14:09.682 instead, we licensed and implemented our Converged Revenue Intellect, 00:14:10.182 --> 00:14:14.420 our data and analytics platform that we deployed across three regions 00:14:14.420 --> 00:14:17.389 with completely different revenue cycle models. 00:14:17.723 --> 00:14:21.493 This created an always-on data- and AI-empowered platform 00:14:21.727 --> 00:14:24.730 that gets more intelligent with each use. 00:14:25.464 --> 00:14:29.268 Revenue Intellect uses AI and advanced machine learning to spot 00:14:29.268 --> 00:14:33.005 problems, flag what's urgent, and predict where issues will occur, 00:14:33.505 --> 00:14:37.509 helping teams focus their efforts where it matters most. 00:14:38.711 --> 00:14:42.581 Today, Revenue Intellect serves as a source of truth for revenue cycle 00:14:42.581 --> 00:14:45.951 data across hundreds, over 100 hospitals 00:14:45.951 --> 00:14:49.022 and dozens of disparate source systems. 00:14:49.022 --> 00:14:54.694 Every day, revenue cycle VPs, analysts, managed care leaders, even pharmacy directors 00:14:54.694 --> 00:14:59.031 leverage our platform for everything from weekly performance dashboards 00:14:59.331 --> 00:15:02.301 to deep-dive payer strategy analysis. 00:15:02.635 --> 00:15:05.437 The results span improvements in revenue, 00:15:05.437 --> 00:15:09.108 reduction in denials, and labor efficiency increases. 00:15:09.742 --> 00:15:13.512 That's modern consulting, platform-based solutions 00:15:13.512 --> 00:15:17.082 that work alongside people to better their day-to-day lives. 00:15:17.716 --> 00:15:22.922 It gave them something unprecedented, the ability to challenge their vendors, 00:15:23.088 --> 00:15:27.726 validate their operations, and optimize their performance in real time, 00:15:29.128 --> 00:15:31.130 and we aren't stopping there. 00:15:31.130 --> 00:15:33.633 I am excited that we have extended our 00:15:33.633 --> 00:15:37.803 Converge Intellect Platform to include revenue cycle agents, 00:15:38.337 --> 00:15:41.874 a set of agents that further streamline and take actions 00:15:41.874 --> 00:15:45.945 to optimize the health system's revenue cycle in real time, 00:15:47.546 --> 00:15:49.548 and there's more. 00:15:49.548 --> 00:15:51.984 Today, we're announcing the next evolution, 00:15:51.984 --> 00:15:55.187 agenetic business process as a service. 00:15:55.921 --> 00:15:58.490 We're not just providing software solutions anymore, 00:15:58.490 --> 00:16:01.493 we're automating entire workflows 00:16:01.961 --> 00:16:05.931 with AI agents that can analyze, recommend, and act to deliver 00:16:06.031 --> 00:16:10.269 real business results with real human benefits. 00:16:11.003 --> 00:16:14.006 Let me show you what this looks like in practice. 00:16:14.173 --> 00:16:17.609 One of the nation's largest health plans recently faced a problem 00:16:17.609 --> 00:16:21.180 that every customer, every one of you, knows intimately well, 00:16:21.814 --> 00:16:26.318 keeping provider information accurate across millions of member interactions. 00:16:27.319 --> 00:16:31.956 When the data is wrong, the consequences are immediate and personal. 00:16:32.456 --> 00:16:36.562 Claims get denied, people get billed incorrectly, 00:16:36.562 --> 00:16:39.565 families worry about unexpected costs, 00:16:39.631 --> 00:16:42.634 and trust erodes fast. 00:16:42.868 --> 00:16:45.037 And it's not just about money, 00:16:45.037 --> 00:16:48.773 it's about the anxiety of knowing if your child's surgery is covered, 00:16:48.973 --> 00:16:51.477 whether your medication will be there when you need it, 00:16:52.478 --> 00:16:56.382 and this delay is not a matter of minutes or hours, 00:16:56.482 --> 00:17:01.453 it's a matter of days and sometimes weeks, and a lot of life 00:17:01.453 --> 00:17:04.690 can happen in every one of those days and those weeks. 00:17:05.391 --> 00:17:08.360 Picture this. A claim comes in, 00:17:08.494 --> 00:17:12.064 there's a health care system network issue, and suddenly 00:17:12.631 --> 00:17:16.035 you and your family have a 14-day process involving 00:17:16.035 --> 00:17:19.738 multiple teams, endless back and forth, and frustrated providers 00:17:19.905 --> 00:17:25.345 while life is happening. For patients, that 14 days of uncertainty. 00:17:25.778 --> 00:17:29.048 For providers, it's delayed payment and administrative burden 00:17:29.048 --> 00:17:32.051 that takes time away from patient care. 00:17:32.751 --> 00:17:36.522 Here's where Deloitte comes in with people and platforms. 00:17:37.022 --> 00:17:40.225 Our enterprise-wide AI platform takes those tickets 00:17:40.659 --> 00:17:45.798 and resolves them autonomously in under 60 seconds. 00:17:47.032 --> 00:17:48.867 Let me show you how this works. 00:17:48.867 --> 00:17:52.237 Our platform extracts ticket details; recognizes patterns 00:17:52.237 --> 00:17:56.308 from millions of historical cases; activates agents for claims, 00:17:56.308 --> 00:18:00.746 benefits, and provider networks; and then reasons to a final 00:18:00.746 --> 00:18:04.316 resolution, all without human intervention. 00:18:05.150 --> 00:18:08.053 This isn't a demo or a proof of concept. 00:18:08.053 --> 00:18:12.658 This is a working solution, processing real data and delivering real results. 00:18:13.058 --> 00:18:15.227 This is allowing us all to get back to life. 00:18:16.328 --> 00:18:18.464 So, what's the business case? 00:18:18.464 --> 00:18:21.166 We're projecting $1.5 to 00:18:21.166 --> 00:18:25.070 $4 billion in cost savings from administrative 00:18:25.070 --> 00:18:28.340 burden reduction and operational efficiency gains, 00:18:29.541 --> 00:18:33.412 and the human impact, that's immeasurable. 00:18:33.412 --> 00:18:36.381 Families get answers in minutes, not weeks, 00:18:36.448 --> 00:18:39.751 reducing the stress and uncertainty during difficult moments. 00:18:40.519 --> 00:18:43.021 Providers spend less time on administrative 00:18:43.021 --> 00:18:46.024 work and focus more time on patient care. 00:18:46.258 --> 00:18:50.729 Health care workers shift from chasing down exceptions 00:18:51.263 --> 00:18:54.266 to supporting patients and improving outcomes. 00:18:54.933 --> 00:18:57.569 That's what automation should do, 00:18:57.569 --> 00:19:02.107 free people, free all of us to focus on the work that truly requires 00:19:02.508 --> 00:19:05.511 human judgment and connection. 00:19:06.979 --> 00:19:09.382 What does it take to achieve this? 00:19:10.315 --> 00:19:14.620 This expertise that is required is deep industry expertise. 00:19:14.653 --> 00:19:18.090 It's combined with software and data engineering scale. 00:19:18.590 --> 00:19:21.260 We've mastered the art of normalizing 00:19:21.260 --> 00:19:25.130 both structured claims remittance codes and unstructured data. 00:19:26.298 --> 00:19:30.269 Each customer policy represents hundreds of PDF documents 00:19:30.602 --> 00:19:33.605 governing patient care episodes. 00:19:34.039 --> 00:19:38.777 We have translated our health care expertise, knowledge of their complex 00:19:38.777 --> 00:19:43.682 data and workflow understanding into Deloitte-differentiated agents. 00:19:44.383 --> 00:19:47.085 We're not building this with bespoke code. 00:19:47.085 --> 00:19:50.722 This is enterprise-grade software that's been serving our clients 00:19:50.722 --> 00:19:55.994 for over a decade, battle tested, proven, and continuously evolving. 00:19:56.962 --> 00:19:59.965 We've been innovating every step of the way, 00:20:00.265 --> 00:20:03.969 most recently with our agentic capabilities that further streamline 00:20:03.969 --> 00:20:07.506 processes and deliver autonomous actions. 00:20:09.007 --> 00:20:11.710 These solutions can now process, understand, 00:20:11.710 --> 00:20:16.882 and act upon thousands of these unstructured documents in real time. 00:20:17.282 --> 00:20:19.251 This is where our agents truly shine. 00:20:19.251 --> 00:20:24.156 We've moved beyond generating insights to the outcome that really matters, 00:20:24.756 --> 00:20:28.427 corrective action that execute autonomously. 00:20:29.061 --> 00:20:31.964 This is the difference between telling you 00:20:31.964 --> 00:20:35.534 what happened and actually fixing what's broken. 00:20:36.535 --> 00:20:40.672 Imagine those weekly performance reports that many executives receive today, 00:20:41.139 --> 00:20:46.111 but instead of just showing trends, our agent identifies the root cause, 00:20:46.111 --> 00:20:49.915 recommends specific actions, and initiates 00:20:49.915 --> 00:20:52.918 corrective workflows autonomously. 00:20:53.218 --> 00:20:56.221 That's the evolution from analytics as a service 00:20:56.655 --> 00:20:59.658 to agenetic BPaaS, 00:20:59.858 --> 00:21:02.261 and here's what excites me most. 00:21:02.261 --> 00:21:05.264 Health care is just the beginning. 00:21:05.330 --> 00:21:08.367 The same agentic BPaaS approach we're launching today, 00:21:08.367 --> 00:21:13.472 we're scaling in every industry we serve, from banking to insurance 00:21:13.939 --> 00:21:16.508 to retail to transportation 00:21:16.508 --> 00:21:19.511 to the public sector and beyond. 00:21:19.778 --> 00:21:23.649 We're building an agenetic future for every sector, 00:21:24.049 --> 00:21:28.020 translating our industry expertise into industry advantage 00:21:28.520 --> 00:21:33.225 for every client ready to move beyond traditional consulting 00:21:33.592 --> 00:21:37.329 to always-on platform and agent business transformation. 00:21:39.665 --> 00:21:43.368 This is the power of our modern consulting model. 00:21:43.902 --> 00:21:46.104 It's no longer simply advising, 00:21:46.104 --> 00:21:51.677 it's building, deploying, operating, moving from analyzing to acting. 00:21:52.911 --> 00:21:55.081 Brett, back to you. 00:22:00.220 --> 00:22:04.790 Now, if that's not innovation with purpose, I don't know what is. 00:22:04.990 --> 00:22:08.760 Now, as you just heard from Kulleni, our portfolio of Converge by Deloitte 00:22:08.760 --> 00:22:12.531 Industry Solutions increasingly spans every industry, including insurance, 00:22:13.432 --> 00:22:17.069 and the insurance industry today is currently facing a crisis of experience. 00:22:17.936 --> 00:22:20.539 Since the pandemic, the average experience of a claims 00:22:20.539 --> 00:22:24.710 adjuster has actually dropped by six years, while customer expectations 00:22:24.710 --> 00:22:27.679 for seamless claims processing have only gone up. 00:22:28.013 --> 00:22:31.550 In fact, 76% of customers say they want high-touch claims 00:22:31.550 --> 00:22:35.053 experiences with transparent and frequent communication. 00:22:35.787 --> 00:22:38.857 So, the disconnect between what customers want and what adjusters can 00:22:38.857 --> 00:22:42.794 deliver has created a $100 billion problem for this sector. 00:22:43.729 --> 00:22:46.965 That's why I'm extremely excited to launch ClaimBeacon today 00:22:46.965 --> 00:22:50.302 as part of our Converge for Insurance Grow Suite portfolio. 00:22:51.169 --> 00:22:55.107 ClaimBeacon is our agentic solution that acts as a beacon for both claims 00:22:55.107 --> 00:22:58.677 professionals and customers during their most difficult moments. 00:23:00.212 --> 00:23:03.715 ClaimBeacon puts actionable insights at adjusters' fingertips 00:23:03.849 --> 00:23:07.085 while simultaneously giving customers the transparency they demand. 00:23:08.286 --> 00:23:11.423 Claims adjusters today spend over half their time on the phone, 00:23:12.190 --> 00:23:15.193 often struggling to piece together information from multiple systems. 00:23:16.027 --> 00:23:18.230 In fact, 38% of customer complaints 00:23:18.230 --> 00:23:21.199 stem from simple unreturned phone calls. 00:23:21.700 --> 00:23:24.569 Customers feel frustrated by disjointed experiences 00:23:24.569 --> 00:23:26.004 where they repeat information 00:23:26.004 --> 00:23:29.007 to multiple people or enter data into multiple systems. 00:23:29.841 --> 00:23:32.111 Now, ClaimBeacon is already deployed with a leading 00:23:32.111 --> 00:23:35.480 auto insurer, delivering measurable results today. 00:23:35.514 --> 00:23:38.517 In fact, a 30 to 40% reduction in call volume, 00:23:38.750 --> 00:23:42.521 a 30-point increase in live answer rates, and most importantly, 00:23:42.754 --> 00:23:46.658 adjusters using ClaimBeacon spend an average of 30 minutes less per call, 00:23:47.592 --> 00:23:51.830 giving them the capacity to focus on what matters most, helping customers. 00:23:52.998 --> 00:23:56.902 Now, what makes ClaimBeacon unique in the market is its scalable, 00:23:57.202 --> 00:24:00.772 composable architecture built on our Ascend Engineering Foundation. 00:24:02.007 --> 00:24:05.110 ClaimBeacon is built to work with your existing systems and AI investments, 00:24:05.744 --> 00:24:09.014 bringing advanced technology directly into your workforce to scale 00:24:09.347 --> 00:24:11.249 and build on what you've already built, 00:24:11.249 --> 00:24:13.752 no rip and replace required, 00:24:13.752 --> 00:24:17.322 and we're continuously evolving with new agentic AI capabilities 00:24:17.689 --> 00:24:20.692 that don't just provide insights, but increasingly take action, 00:24:21.626 --> 00:24:24.129 automatically updating claim statuses, 00:24:24.529 --> 00:24:27.499 triggering communications, managing workflows. 00:24:28.166 --> 00:24:30.769 ClaimBeacon was launched for personal auto, 00:24:30.769 --> 00:24:32.871 but I'm excited to say we're rapidly expanding across 00:24:32.871 --> 00:24:35.874 property and commercial lines and especially insurance. 00:24:36.475 --> 00:24:39.411 We're delivering value today while building the agentic 00:24:39.411 --> 00:24:41.780 future of claims processing, 00:24:41.780 --> 00:24:45.417 a true testament to the exponential power of Deloitte's 00:24:45.417 --> 00:24:49.254 human ingenuity and expertise, combined with Deloitte platforms and agents. 00:24:51.623 --> 00:24:53.692 Now, let me shift to another industry. 00:24:53.692 --> 00:24:57.662 Mobility is entering one of the most transformational decades in its history, 00:24:58.597 --> 00:25:01.600 powered by data, intelligence, electrification. 00:25:01.833 --> 00:25:05.837 How we move people, goods, and communities is being reimagined and rewritten. 00:25:06.771 --> 00:25:10.475 What once centered on manufacturing vehicles is now an entire mobility 00:25:10.475 --> 00:25:14.813 ecosystem, connected, autonomous, shared, and electric, 00:25:15.480 --> 00:25:18.850 a shift that's creating not just disruption, but massive opportunity, 00:25:18.850 --> 00:25:22.220 an opportunity to rethink how mobility is designed, 00:25:22.454 --> 00:25:25.490 delivered, and experienced across every part of society, 00:25:26.391 --> 00:25:28.593 and that's why today we're excited to announce 00:25:28.593 --> 00:25:31.596 we are building Converge by Deloitte for Mobility, 00:25:31.630 --> 00:25:34.900 the newest Converge Storefront from Deloitte, connecting the full 00:25:34.900 --> 00:25:38.970 mobility value chain from software-defined vehicles to customer experience. 00:25:40.472 --> 00:25:43.308 With that, I'm also excited to share our first product 00:25:43.308 --> 00:25:46.811 within this portfolio, the Converge Mobility Subscription Service. 00:25:48.046 --> 00:25:48.780 Now, the first wave of 00:25:48.780 --> 00:25:51.783 transformation in mobility is about access over ownership. 00:25:52.717 --> 00:25:55.720 Built in collaboration with the leading vehicle subscription platform, 00:25:55.954 --> 00:25:59.190 Deloitte's Converge MSS Solution provides the digital backbone 00:25:59.558 --> 00:26:03.762 for new customer experiences, to make flexible transportation 00:26:04.062 --> 00:26:08.500 more affordable and accessible, while giving automakers and dealers 00:26:08.867 --> 00:26:11.103 a new model for recurring revenue. 00:26:11.603 --> 00:26:14.606 This platform is already being deployed across the western United States 00:26:14.973 --> 00:26:17.976 and one of the largest car dealer networks in the world, 00:26:18.643 --> 00:26:20.211 and we're not stopping there. 00:26:20.211 --> 00:26:22.614 Building on that foundation, we're exploring 00:26:22.614 --> 00:26:25.917 with a major global OEM, an original equipment manufacturer, 00:26:26.551 --> 00:26:29.554 how this same model can scale across markets, 00:26:30.221 --> 00:26:32.824 expanding profit pools beyond the first owner, 00:26:32.824 --> 00:26:37.063 monetizing both electric and internal combustion vehicles. 00:26:38.763 --> 00:26:41.299 Now, for the OEM, it's more than a new channel. 00:26:41.299 --> 00:26:43.435 It's a growth and loyalty engine. 00:26:43.435 --> 00:26:45.971 Bundled services like insurance, 00:26:45.971 --> 00:26:50.642 maintenance, and charging keep customers connected and coming back, 00:26:51.343 --> 00:26:53.745 all enabled through the Converge MSS Platform. 00:26:54.846 --> 00:26:56.181 Now for consumers, 00:26:56.181 --> 00:26:59.150 it delivers freedom of choice and lower barriers to access, 00:26:59.985 --> 00:27:03.788 and for our automotive clients, it creates a flexible circular business 00:27:03.788 --> 00:27:06.791 model built for the realities of today's market. 00:27:07.626 --> 00:27:09.260 And our innovations aren't just changing business 00:27:09.260 --> 00:27:12.230 models, they're also changing society. 00:27:12.530 --> 00:27:16.334 In Detroit, we're proving that innovation can also mean access 00:27:16.568 --> 00:27:19.571 today's mobility innovations for all citizens. 00:27:20.271 --> 00:27:22.941 Together with the City's Office of Mobility Innovation, 00:27:22.941 --> 00:27:28.279 we launched Accessibili-D, a zero-fare autonomous shuttle connecting seniors 00:27:28.279 --> 00:27:32.651 and people with disabilities to essential destinations safely and reliably. 00:27:33.885 --> 00:27:36.888 Deloitte built the car to cloud data platform 00:27:36.921 --> 00:27:39.891 that captures real-time sensor data from the fleet, 00:27:39.991 --> 00:27:43.294 helping city leaders as well as researchers continuously 00:27:43.294 --> 00:27:47.198 improve safety, accessibility, as well as rider experience. 00:27:48.400 --> 00:27:51.770 The impact, over 4700 rides completed to date, 00:27:52.637 --> 00:27:58.576 97% repeat ridership, and 100% satisfaction, proof that 00:27:58.576 --> 00:28:02.080 autonomous mobility can build trust as well as technology. 00:28:03.481 --> 00:28:06.818 Making the future of mobility a reality is a team sport. 00:28:06.951 --> 00:28:08.386 Beyond the solutions we build, 00:28:08.386 --> 00:28:10.556 we're also shaping the conversation. 00:28:11.156 --> 00:28:13.892 That's why we are using the power and trust of Deloitte 00:28:13.892 --> 00:28:18.430 to convene the entire ecosystem. At MOVE America 2025, 00:28:18.930 --> 00:28:22.167 we convened the industry's first autonomous mobility working group, 00:28:22.901 --> 00:28:27.172 bringing together OEMs, technology leaders, investors, and city officials 00:28:27.405 --> 00:28:32.477 from across the globe to align on trust, safety, and the business models 00:28:32.477 --> 00:28:35.480 that will take autonomy from pilot to scale. 00:28:36.748 --> 00:28:38.550 Converge by Deloitte for Mobility positions 00:28:38.550 --> 00:28:42.987 us as both a builder of solutions and a convener of the ecosystem, 00:28:43.521 --> 00:28:47.392 defining the future of movement, connecting software-defined vehicles, 00:28:48.393 --> 00:28:51.830 connected operations, customer experience, and the partnerships 00:28:52.030 --> 00:28:53.333 that bring them together. 00:28:55.467 --> 00:28:58.770 Now, let me take you to an industry that's close to my heart, sports. 00:28:59.270 --> 00:29:02.240 As I mentioned earlier, we've launched Converge by Deloitte for Sports 00:29:02.574 --> 00:29:05.844 and helped the International Olympic Committee deploy the Olympic Fan Data 00:29:05.844 --> 00:29:09.981 Platform in time for the Olympic Games Paris 2024, supporting 00:29:09.981 --> 00:29:14.719 impressive engagement results with sports fans locally and worldwide 00:29:15.420 --> 00:29:20.558 the unified fan data to provide deeper insights, advanced segmentation, 00:29:20.692 --> 00:29:24.395 and personalized audience engagement across Olympic digital channels 00:29:24.996 --> 00:29:28.600 with over 16 million fans engaged regularly during the games. 00:29:29.901 --> 00:29:33.571 Now, insights from the Olympic Fan Data Platform will help inform 00:29:33.571 --> 00:29:37.475 future digital engagement strategies for Milano Cortina 2026 00:29:37.475 --> 00:29:41.212 and LA 28, helping transform the future of sports. 00:29:42.380 --> 00:29:45.416 And what we learned is in sports, the reality is simple. 00:29:46.117 --> 00:29:48.020 Fan data is becoming the new currency. 00:29:48.720 --> 00:29:49.721 Teams and franchises 00:29:49.721 --> 00:29:53.358 that understand how to harness it aren't just improving experiences, 00:29:53.758 --> 00:29:56.761 they're unlocking entirely new revenue streams. 00:29:57.262 --> 00:30:00.198 In fact, data-backed partnerships in this industry 00:30:00.198 --> 00:30:04.035 are 25% more valuable than traditional sponsorship deals. 00:30:04.736 --> 00:30:08.173 Now, the opportunity is massive and the timing is now. 00:30:09.307 --> 00:30:11.210 So, today, I'm excited to announce the next chapter 00:30:11.210 --> 00:30:13.044 of Converge by Deloitte for Sports, 00:30:13.444 --> 00:30:16.447 the launch of our Converge Fan Engagement App. 00:30:16.848 --> 00:30:18.583 Now, this just isn't another app. 00:30:18.583 --> 00:30:22.520 It's the front door to the full Converge Suite directly integrated 00:30:22.520 --> 00:30:23.922 with the Fan Data Platform. 00:30:24.889 --> 00:30:27.892 It's already giving franchises what they actually need, 00:30:28.159 --> 00:30:31.529 for fans, personalized experiences that go far beyond game day; 00:30:32.263 --> 00:30:36.167 for teams, an understanding of who their fans are, not just how they behave 00:30:36.167 --> 00:30:40.038 in the arena, but how they spend, shop, and live outside of their sports lives; 00:30:40.805 --> 00:30:42.140 and for business, it's creating 00:30:42.140 --> 00:30:45.310 new revenue streams and smarter, higher-value partnerships, 00:30:45.910 --> 00:30:47.212 and it's already live. 00:30:47.212 --> 00:30:50.148 Professional teams across basketball and hockey and soccer are already 00:30:50.148 --> 00:30:53.151 using the platform because it just works. 00:30:53.284 --> 00:30:56.421 They get production-ready product now, fully customizable 00:30:56.521 --> 00:30:59.524 without the pain of a multiyear custom build. 00:31:00.325 --> 00:31:04.395 So, you've seen Converge solve a number of exciting industry-specific challenges, 00:31:04.729 --> 00:31:07.632 but now let's take a challenge that nearly every industry faces, 00:31:07.632 --> 00:31:10.335 sustainability and infrastructure resilience. 00:31:10.335 --> 00:31:13.538 I would like to invite to the stage Tom Boisvert, General Manager 00:31:13.538 --> 00:31:15.206 for Converge for Sustainability. Tom. 00:31:20.812 --> 00:31:21.714 Thanks, Brett. 00:31:22.714 --> 00:31:26.684 Organizations across all sectors are at a pivotal moment when it comes to 00:31:26.684 --> 00:31:30.855 balancing climate risk, critical infrastructure, and the rising use of AI. 00:31:31.489 --> 00:31:35.393 Maintaining robust operational performance while simultaneously 00:31:35.393 --> 00:31:39.063 achieving sustainable leadership isn't a challenge to be endured. 00:31:39.397 --> 00:31:45.336 This is a generational opportunity to drive innovation and gain market advantage. 00:31:45.336 --> 00:31:48.373 Organizations that strategically embed sustainability 00:31:48.373 --> 00:31:52.744 at the heart of their core strategy are doing more than just reducing risk. 00:31:53.311 --> 00:31:56.314 They're proactively seizing opportunities for growth, 00:31:56.614 --> 00:31:59.017 they're commanding better access to capital, 00:31:59.017 --> 00:32:02.020 and they're establishing themselves as long-term industry leaders. 00:32:02.887 --> 00:32:06.524 Accessing deeper insights into these opportunities is the key 00:32:06.524 --> 00:32:10.695 to unlocking the next wave of potential and empowering a more prosperous future, 00:32:11.396 --> 00:32:13.398 if you have the right solutions. 00:32:13.398 --> 00:32:16.935 And that's why we're excited to announce the expansion of Converge by Deloitte 00:32:17.068 --> 00:32:20.004 into sustainability and infrastructure. 00:32:20.004 --> 00:32:21.973 This isn't just a new tool. 00:32:21.973 --> 00:32:26.077 This is an integrated portfolio of AI-powered software and data solutions 00:32:26.277 --> 00:32:29.447 designed to help clients accelerate business outcomes. 00:32:30.081 --> 00:32:33.584 These capabilities strategically align sustainability opportunities 00:32:33.685 --> 00:32:36.621 to business value across your entire business. 00:32:36.621 --> 00:32:40.758 From day-to-day operations to supply chain, to new product innovation, 00:32:41.626 --> 00:32:44.462 they use data to strengthen confidence in your environmental 00:32:44.462 --> 00:32:47.999 reporting and disclosures, and they help you build a stronger, 00:32:47.999 --> 00:32:51.569 greener future with solutions for managing natural resources, 00:32:51.769 --> 00:32:55.606 infrastructure, environmental permitting, and modeling of energy systems. 00:32:56.874 --> 00:32:59.811 So, how exactly does this work? 00:32:59.811 --> 00:33:03.548 How do we help clients build that stronger, resilient infrastructure 00:33:03.748 --> 00:33:06.751 while protecting critical assets from climate risk? 00:33:06.918 --> 00:33:10.287 Converge addresses that challenge with Infrastructure Insights Pro, 00:33:10.287 --> 00:33:12.890 or IIP, where sustainability 00:33:13.057 --> 00:33:16.694 and infrastructure management come together to create tangible value. 00:33:17.395 --> 00:33:22.633 IIP leverages geospatial and AI capabilities to quickly configure infrastructure 00:33:22.633 --> 00:33:26.037 management solutions like vegetation and transportation management. 00:33:26.704 --> 00:33:29.974 It combines massive data volumes from public, enterprise, 00:33:29.974 --> 00:33:33.378 and geospatial sources and integrates with your existing providers. 00:33:35.213 --> 00:33:37.548 For one electric utility company, 00:33:37.548 --> 00:33:41.319 this includes supporting vegetation management around electric transmission 00:33:41.319 --> 00:33:44.856 lines to ensure safe and effective delivery of power to their customers. 00:33:45.656 --> 00:33:48.591 To bring this to life for our clients vision, 00:33:48.591 --> 00:33:51.295 we integrated AI with a digital twin and remote sensing. 00:33:52.163 --> 00:33:55.166 This helps them reduce operational and maintenance costs, 00:33:55.433 --> 00:33:59.704 improve grid reliability, and increase of both field and community safety 00:33:59.971 --> 00:34:03.241 through the proactive mitigation of wildfire ignition risk. 00:34:04.142 --> 00:34:07.478 Our approach, building trusted products that deliver from day one, 00:34:07.478 --> 00:34:11.582 is the same approach that's helping transform the future of operations. 00:34:12.283 --> 00:34:13.684 So Chan, show them how. 00:34:20.725 --> 00:34:23.061 During the surge of Industry 4.0 00:34:23.061 --> 00:34:26.697 and the adoption of smart factories, widespread IoT deployment, 00:34:26.998 --> 00:34:30.435 advanced automation, and integration of cyber physical systems, 00:34:30.668 --> 00:34:34.806 Deloitte opened The Smart Factory @ Wichita, a physical innovation 00:34:34.806 --> 00:34:38.176 hub for advanced manufacturing and supply chain transformation. 00:34:39.010 --> 00:34:43.214 Together with their curated ecosystem of collaborators and with hundreds 00:34:43.214 --> 00:34:47.585 of manufacturers, we invest in and innovate new technologies, 00:34:47.752 --> 00:34:53.491 platforms, robotics, AI, and other advanced capabilities in our working factory, 00:34:53.858 --> 00:34:56.861 a living R&D lab, before bringing it to market. 00:34:57.562 --> 00:35:01.933 In this next wave of technological evolution, we see businesses integrating 00:35:01.933 --> 00:35:06.737 agenetic AI, advanced robotics with physical AI, and ethical frameworks 00:35:06.737 --> 00:35:09.941 to reimagine the synergy between technology and people, 00:35:11.042 --> 00:35:14.178 but operations leaders are scrutinizing the value of AI, 00:35:14.579 --> 00:35:18.349 and many today still struggle to identify and scale what truly works. 00:35:19.350 --> 00:35:21.919 Their question is no longer what's possible, 00:35:21.919 --> 00:35:24.922 it's how do we scale with confidence, deliver ROI, 00:35:25.189 --> 00:35:28.159 and empower people? 00:35:28.326 --> 00:35:32.363 At this pivotal moment where global disruptions from geopolitical shifts 00:35:32.363 --> 00:35:36.134 to energy volatility challenge supply chain and network operations, 00:35:36.501 --> 00:35:40.071 I'm excited to announce that we are expanding the delivery of our 00:35:40.071 --> 00:35:45.343 comprehensive intelligent operations platform deep into our client subsectors 00:35:45.376 --> 00:35:48.613 as part of our Converge by Deloitte Suite of Industry Solutions. 00:35:49.780 --> 00:35:53.551 IntelligentOps is our agenetic AI native platform for operations. 00:35:53.918 --> 00:35:56.220 It's where we innovate alongside Deloitte's Alliance 00:35:56.220 --> 00:36:00.091 partner technologies and solutions to bring actionable insights 00:36:00.091 --> 00:36:03.995 powered by IT, OT, video, spatial, 00:36:03.995 --> 00:36:06.998 and other data sources to the front line. 00:36:07.665 --> 00:36:09.500 The platform allows us to deliver 00:36:09.500 --> 00:36:12.470 hyper-tailored capabilities and agents faster. 00:36:12.703 --> 00:36:17.909 It's paving the way for scaling of AI use cases for significant outcomes in sectors 00:36:18.276 --> 00:36:21.779 where there's zero tolerance for error. Outcomes for safety 00:36:21.779 --> 00:36:24.982 and compliance and, ultimately, people's lives can be at stake. 00:36:25.683 --> 00:36:30.121 So, adoption must balance speed with robust safeguards and transparency. 00:36:31.355 --> 00:36:33.723 Let's take a look at one of the many powerful applications 00:36:33.723 --> 00:36:37.062 and IntelligentOps with the latest vision AI technologies. 00:36:38.062 --> 00:36:41.065 IntelligentOps enables VLM native use cases 00:36:41.065 --> 00:36:44.769 that use vision language models with multimodal capabilities to see. 00:36:46.070 --> 00:36:47.471 In this visual here, 00:36:47.471 --> 00:36:50.708 discrete actions from a tenured worker are captured with video 00:36:50.708 --> 00:36:53.711 and then used to seamlessly upscale a new operator. 00:36:54.512 --> 00:36:58.483 Picture this VLM use case helping an industrial organization secure the 00:36:58.483 --> 00:37:02.887 US manufacturing supply base, or picture the VLM leveraging video 00:37:02.887 --> 00:37:07.158 feeds to create a data-backed proactive safety program to support the workforce. 00:37:08.526 --> 00:37:11.028 Deloitte brings decades of cross-functional industry 00:37:11.028 --> 00:37:14.198 knowledge with a deep understanding of what keeps supply chains 00:37:14.198 --> 00:37:17.201 connected and operations running smoothly. 00:37:18.202 --> 00:37:21.539 When the power of IntelligentOps meets the power of our people, 00:37:22.073 --> 00:37:26.477 manufacturers can transform, build resilience, and adapt to change. 00:37:27.912 --> 00:37:31.315 We're deploying IntelligentOps agents with an energy and chemicals company 00:37:31.315 --> 00:37:34.652 to support the maintenance of our nation's critical natural resources. 00:37:35.753 --> 00:37:38.623 A consumer products manufacturer is using our expert 00:37:38.623 --> 00:37:41.826 operations agent to drive faster root cause analysis, 00:37:42.627 --> 00:37:47.331 plus a life sciences greenfield site deployed a spatial data layer to optimize 00:37:47.331 --> 00:37:50.901 production of their biologic medicines that save lives. 00:37:52.136 --> 00:37:54.305 Today marks a new milestone. 00:37:54.305 --> 00:37:57.908 By integrating IntelligentOps into our Converge Industry Solutions, 00:37:58.276 --> 00:38:03.247 we simplify innovation, accelerating intelligent operations transformation 00:38:03.547 --> 00:38:07.551 that drive results and unlock new capabilities for scalable growth. 00:38:08.085 --> 00:38:09.488 Brett, back to you. 00:38:14.258 --> 00:38:15.294 Thanks, So. 00:38:16.494 --> 00:38:18.829 So, you've just seen Converge across health care, 00:38:18.829 --> 00:38:21.832 insurance, mobility, sustainability, and operations, 00:38:22.300 --> 00:38:26.370 each one built to solve specific industry challenges with speed and scale. 00:38:27.104 --> 00:38:28.339 Now, I want to shift gears 00:38:28.339 --> 00:38:31.075 and talk about a different kind of transformation challenge. 00:38:31.075 --> 00:38:34.078 How we're working with the government and the public sector 00:38:34.445 --> 00:38:37.815 because while we've shown how Converge solves problems for specific sectors 00:38:37.815 --> 00:38:40.985 and industries, the public sector requires something different, 00:38:41.385 --> 00:38:45.556 solutions that serve millions of people, navigate complex regulations, 00:38:45.556 --> 00:38:49.226 and deliver mission-critical outcomes for failure just isn't an option. 00:38:50.061 --> 00:38:53.764 We have a once in a generation opportunity to rethink how public services 00:38:53.764 --> 00:38:57.702 get delivered with technology, speed, and outcomes at the center. 00:38:58.836 --> 00:39:00.338 Please welcome Kathleen Purtill, 00:39:00.338 --> 00:39:04.441 who is our Government & Public Services Transition & Transformation Leader, 00:39:04.441 --> 00:39:06.644 to show you how we're bringing the same innovative mindset 00:39:06.644 --> 00:39:08.045 to serve the public mission. 00:39:08.045 --> 00:39:9.048 Kathleen. 00:39:14.518 --> 00:39:18.856 Public servants across the country are doing extraordinary work every day. 00:39:19.190 --> 00:39:22.460 They're delivering critical services, supporting families, 00:39:22.626 --> 00:39:24.695 and protecting our communities. 00:39:24.695 --> 00:39:28.199 They're solving complex challenges that touch millions of lives. 00:39:29.033 --> 00:39:33.671 This is a critical moment for our ability to support our government organizations 00:39:33.671 --> 00:39:38.209 and public servants with rapid technology adoption and modernization, 00:39:39.043 --> 00:39:42.980 and this administration has made it super-clear what they expect. 00:39:43.347 --> 00:39:46.350 They've told us question every requirement, 00:39:46.851 --> 00:39:51.389 challenge every business process, and automate everything. 00:39:52.022 --> 00:39:54.425 They want partners with skin in the game. 00:39:54.425 --> 00:39:58.295 They want partners who are going to commit to delivering outcomes. 00:39:58.963 --> 00:40:01.966 They want partners who can bring the commercial innovation 00:40:02.099 --> 00:40:04.935 and proven business models. 00:40:04.935 --> 00:40:08.139 That's Deloitte's Government & Public Services practice. 00:40:08.172 --> 00:40:09.907 That's us, that's who we are, 00:40:09.907 --> 00:40:12.877 and the good news is we're not playing catch-up. 00:40:12.877 --> 00:40:16.080 We're driving innovation on problems that matter deeply, 00:40:16.881 --> 00:40:19.884 how people access their benefits that support their families, 00:40:20.351 --> 00:40:23.354 how we build American manufacturing capacity, 00:40:23.421 --> 00:40:27.258 and how millions of Americans experience frictionless travel. 00:40:27.892 --> 00:40:29.293 In the next few minutes, 00:40:29.293 --> 00:40:33.297 we're going to hear about three fundamentally different examples and approaches. 00:40:34.465 --> 00:40:38.734 We're going to have a flexible subscription model, co-investment in 00:40:38.734 --> 00:40:44.041 domestic manufacturing, and a multi-alliance orchestration example. 00:40:44.041 --> 00:40:46.444 Each one solves a different problem, 00:40:46.444 --> 00:40:49.280 each one of these takes a different approach, 00:40:49.280 --> 00:40:51.949 but all share the same attributes, 00:40:51.949 --> 00:40:55.286 tech-first delivery, engineering-based solutions, 00:40:55.586 --> 00:40:58.589 and measurable outcomes that touch real lives. 00:40:59.223 --> 00:41:00.825 Let me show you what it looks like. 00:41:00.825 --> 00:41:03.961 So, we're going to start with something deeply personal, benefits. 00:41:05.062 --> 00:41:08.933 The US federal government is the largest employer in the country, 00:41:09.533 --> 00:41:13.604 with the responsibility to cover benefits for more than 9 million people, 00:41:13.938 --> 00:41:17.908 including federal employees, retirees, employers, their family members, 00:41:18.409 --> 00:41:23.648 spending over $600 billion each year on compensation and benefits. 00:41:24.181 --> 00:41:27.952 The Office of Personnel Management has managed that responsibility 00:41:28.219 --> 00:41:31.755 for over 30 years, with managing paper forms, 00:41:32.089 --> 00:41:35.292 disparate carrier systems, and lots of data limitations. 00:41:36.026 --> 00:41:37.262 They were looking for a change 00:41:38.062 --> 00:41:40.931 and they were looking to take on a new challenge. 00:41:40.931 --> 00:41:45.336 So, the Office of Personnel Management selected Deloitte as its partner 00:41:45.336 --> 00:41:49.340 to build and implement a program using our BenefitsIQ Platform, 00:41:50.241 --> 00:41:52.543 becoming the first centralized system 00:41:52.543 --> 00:41:55.546 of record for federal employee benefits. 00:41:55.579 --> 00:42:00.117 We deployed our technology and became the first system of record 00:42:00.117 --> 00:42:05.189 for federal employee benefits for over 1.6 million enrollees in just nine months. 00:42:06.290 --> 00:42:08.726 BenefitsIQ connects employees, 00:42:08.726 --> 00:42:12.530 their eligible family members, benefit vendors, and carriers. 00:42:13.063 --> 00:42:16.433 It provides end-to-end administration for health, dental, 00:42:16.433 --> 00:42:19.603 vision, life insurance, and retiree pensions. 00:42:20.337 --> 00:42:23.774 For the first time, the federal government can audit 00:42:23.974 --> 00:42:26.977 who receives health insurance in real time. 00:42:28.012 --> 00:42:32.283 The first rollout alone covered about 18% of the federal workforce 00:42:32.650 --> 00:42:37.521 as we served our US Postal Service employees, and in that rollout, we revealed 00:42:37.521 --> 00:42:41.292 approximately $1 billion of potential savings to the government. 00:42:42.126 --> 00:42:45.129 As we scale this across federal agencies, 00:42:45.229 --> 00:42:48.365 the platform is positioned to serve those 9 million Americans 00:42:48.599 --> 00:42:50.802 and could save billions more. 00:42:51.702 --> 00:42:54.905 We're prepared to deliver this as a software as a service 00:42:55.673 --> 00:42:58.409 on a gain-share basis that avoids 00:42:58.409 --> 00:43:01.412 the government having to put out large capital expenses 00:43:01.779 --> 00:43:05.749 and still meet its very important cybersecurity standards, 00:43:07.318 --> 00:43:10.854 but the true outcomes go beyond cost savings and technical achievement. 00:43:10.921 --> 00:43:14.692 This is about improving daily life for the millions who depend 00:43:14.692 --> 00:43:18.128 on the benefits of health care, financial security, and peace of mind. 00:43:19.163 --> 00:43:24.802 Build once, configure fast, and scale across agencies, 00:43:24.802 --> 00:43:27.805 and then we align our success with theirs. 00:43:28.339 --> 00:43:31.609 The second example takes us in a completely different direction. 00:43:31.909 --> 00:43:34.144 We're going to go from software platforms 00:43:34.144 --> 00:43:37.147 to physical manufacturing and American jobs. 00:43:37.581 --> 00:43:41.151 The United States faces a critical challenge in drone technology. 00:43:41.819 --> 00:43:44.822 We need domestic drone production. 00:43:45.055 --> 00:43:47.391 It helps us ensure security 00:43:47.391 --> 00:43:50.361 for a critical infrastructure and emergency response 00:43:50.995 --> 00:43:55.132 when the challenge is most manufacturing currently happens overseas, 00:43:55.766 --> 00:44:00.037 and this creates supply chain vulnerabilities and national security concerns. 00:44:00.537 --> 00:44:03.941 Deloitte identified a company that has technical capability 00:44:04.108 --> 00:44:08.646 to scale their US-based manufacturing of medium-sized drones 00:44:09.113 --> 00:44:12.283 that are important for tasks like infrastructure inspection, 00:44:12.283 --> 00:44:16.520 emergency response, border security, and defense applications. 00:44:17.354 --> 00:44:19.189 So, rather than just giving them advice 00:44:20.391 --> 00:44:23.494 on their supply chain or, you know, on their strategy, 00:44:23.527 --> 00:44:28.032 Deloitte is invested in helping scale their manufacturing operations 00:44:28.198 --> 00:44:31.702 by providing software integration, data analytics, 00:44:32.036 --> 00:44:36.407 marketing expertise, and real capital needed to build 00:44:36.407 --> 00:44:40.678 that production facility for the drones to be manufactured at scale. 00:44:41.078 --> 00:44:42.312 Think of it this way. 00:44:42.312 --> 00:44:45.783 The technical knowledge to build drones exists in many places, 00:44:46.016 --> 00:44:48.952 but scaling from prototype to mass production 00:44:48.952 --> 00:44:51.955 for the US market requires a different mindset, 00:44:52.189 --> 00:44:53.991 and that's where Deloitte comes in. 00:44:53.991 --> 00:44:57.061 We bring the right technology, the best 00:44:57.361 --> 00:45:00.931 technical support to support our client's mission, 00:45:01.331 --> 00:45:06.103 and this mission is to build the American production capacity for technologies 00:45:06.103 --> 00:45:09.940 that are critical to national security and economic competitiveness. 00:45:10.741 --> 00:45:13.644 Our approach creates tangible impact. 00:45:13.644 --> 00:45:17.181 American workers are employed in advanced manufacturing jobs. 00:45:17.781 --> 00:45:23.187 The US reduces its dependance on foreign suppliers for critical defense technology. 00:45:23.821 --> 00:45:26.290 Government agencies and commercial clients 00:45:26.290 --> 00:45:30.360 can source drones domestically with secure supply chains. 00:45:30.961 --> 00:45:34.530 Our business model reflects shared risk and reward. 00:45:34.530 --> 00:45:36.967 By investing in manufacturing partner, 00:45:37.101 --> 00:45:41.405 we don't succeed unless the US manufacturing succeeds. 00:45:42.005 --> 00:45:45.409 Our returns are directly tied to American manufacturing outcomes, 00:45:45.843 --> 00:45:49.313 which means US jobs, economic growth in local communities, 00:45:49.580 --> 00:45:52.549 and rebuilding domestic industrial capacity. 00:45:53.417 --> 00:45:57.321 This is software engineering and physical engineering working together, 00:45:58.021 --> 00:46:01.692 proving that our team doesn't just consult on what should happen, 00:46:02.259 --> 00:46:03.861 we invest in making it happen. 00:46:05.362 --> 00:46:08.632 Let me share one final example that likely impacts everybody 00:46:08.632 --> 00:46:11.702 in this room because you probably took a flight to get where you are. 00:46:13.170 --> 00:46:17.241 The United States is entering a decade of major global events. 00:46:17.407 --> 00:46:21.111 We have the 26 World Cup, Olympics game in LA 28, 00:46:21.712 --> 00:46:24.581 Olympic games in Salt Lake City in 34, and more. 00:46:24.581 --> 00:46:28.986 These events will bring unprecedented numbers of international travelers 00:46:29.419 --> 00:46:33.791 to the US at a time when our border infrastructure faces processing backlogs. 00:46:34.224 --> 00:46:36.860 We have legacy systems and security requirements 00:46:36.860 --> 00:46:40.564 that just aren't designed to deal with today's volume or complexity. 00:46:41.331 --> 00:46:43.233 The challenge isn't just operational, 00:46:43.233 --> 00:46:46.236 it's about how the world experiences America. 00:46:46.937 --> 00:46:50.374 Seamless travel, secure borders, and efficient processing 00:46:50.541 --> 00:46:54.711 shape the global perception of our government's capabilities. 00:46:55.379 --> 00:47:00.117 The solution requires advanced technology, sophisticated cybersecurity, 00:47:00.517 --> 00:47:04.588 resilient infrastructure, and exceptional traveler experience, 00:47:05.088 --> 00:47:08.725 capabilities that demand collaboration across multiple partners, 00:47:09.393 --> 00:47:12.529 across government and commercial partners. In government alone, 00:47:12.529 --> 00:47:16.700 you have Department of State, Customs and Border Patrol, and TSA. 00:47:17.835 --> 00:47:21.872 Deloitte has built a visa application and screening platform 00:47:22.272 --> 00:47:25.275 as a managed service business model, 00:47:25.576 --> 00:47:30.581 drawing on partner capabilities such as AWS's Cognito, Rekognition, 00:47:30.581 --> 00:47:35.786 and Clearspeed, an AI voice screening company. Supported by a digital credential, 00:47:35.819 --> 00:47:39.556 for the first time, passengers will have the option to submit the visa 00:47:39.823 --> 00:47:43.393 into a Trusted Enrollment Application through an intuitive app, 00:47:45.395 --> 00:47:50.467 with automated documents scanning, with biometric authentication and real-time 00:47:50.467 --> 00:47:54.104 status tracking, appointment scheduling, and payment fully integrated. 00:47:55.005 --> 00:47:57.774 The impact spans three critical areas: 00:47:57.774 --> 00:48:00.310 the opportunity to draw down real estate 00:48:00.310 --> 00:48:03.313 footprint by streamlining the physical application center; 00:48:03.814 --> 00:48:08.285 data sharing across disparate government IT portfolios, including ability 00:48:08.485 --> 00:48:11.488 for privacy and traveler opt-in for security; 00:48:11.788 --> 00:48:15.325 and passenger processing efficiencies across travel continuum 00:48:15.726 --> 00:48:18.795 with optimized security screening and border crossings, 00:48:20.030 --> 00:48:23.600 but again, the mission impact extends beyond efficiency metrics. 00:48:24.201 --> 00:48:27.404 Airport congestion affects millions of travelers annually, 00:48:27.404 --> 00:48:32.976 processing backlogs, delays business travel, family reunions, vacations. 00:48:32.976 --> 00:48:36.113 Legacy system failures create security vulnerabilities. 00:48:36.880 --> 00:48:40.351 The urgency is clear. Major events are forcing the government 00:48:40.351 --> 00:48:44.121 to modernize its infrastructure and quickly do it at scale. 00:48:44.721 --> 00:48:48.525 The solution is even clearer, multi-alliance orchestration, 00:48:49.026 --> 00:48:53.597 bringing together Deloitte's deep technical expertise with the right 00:48:53.597 --> 00:48:59.202 technology partners, coordinating complex integrations and delivering capabilities 00:48:59.436 --> 00:49:03.340 that government agencies need, but couldn't build in isolation. 00:49:04.474 --> 00:49:06.910 So, that was three different approaches, 00:49:06.910 --> 00:49:10.280 but there's one unifying principle across all of them, 00:49:10.847 --> 00:49:14.384 a focus on delivering trusted, secure outcomes 00:49:15.619 --> 00:49:18.722 through Deloitte-led innovation, engineering, 00:49:19.356 --> 00:49:23.560 industry depth, and a curated ecosystem of alliance partners. 00:49:24.461 --> 00:49:28.031 These are tech-first approaches that deliver measurable outcomes 00:49:28.432 --> 00:49:31.435 for real people and real missions. 00:49:31.435 --> 00:49:35.205 Our Government & Public Services team is leading with agility 00:49:35.205 --> 00:49:38.442 speed on these transformation and its solutions. 00:49:39.009 --> 00:49:42.746 We're building platforms, investing in critical infrastructure, 00:49:43.013 --> 00:49:45.782 and operating at scale. 00:49:45.782 --> 00:49:48.785 We're orchestrating technology alliances. 00:49:49.019 --> 00:49:52.556 The model adapts to the mission and the mission is personal, 00:49:53.156 --> 00:49:57.227 supporting households, creating jobs, protecting our borders, 00:49:58.328 --> 00:50:00.966 and delivering the services that people rely on. 00:50:13.610 --> 00:50:16.613 When everyone has technology, 00:50:17.714 --> 00:50:21.419 even the fastest movers soon become one of many. 00:50:24.388 --> 00:50:29.026 Speed only works until democratization levels the field, 00:50:29.793 --> 00:50:32.696 by which time it's too late to invest 00:50:32.696 --> 00:50:35.099 in the best competitive edge: 00:50:35.766 --> 00:50:38.335 The human edge, 00:50:38.335 --> 00:50:43.940 where judgment meets empathy and ambition drives ingenuity. 00:50:44.307 --> 00:50:49.679 In today's world of work, machines accelerate those capabilities, 00:50:49.679 --> 00:50:52.516 forcing us to find new potential 00:50:52.516 --> 00:50:55.519 to continuously adapt that edge. 00:50:56.720 --> 00:51:00.057 That's why we bring together humans and machines 00:51:00.891 --> 00:51:05.195 to help organizations continuously scale how they create value. 00:51:05.796 --> 00:51:09.166 Where the science of people unlocks the human edge, 00:51:10.233 --> 00:51:13.236 AI solutions transform it 00:51:14.671 --> 00:51:17.874 because the future belongs to those who design work 00:51:18.208 --> 00:51:20.677 with this edge in mind. 00:51:20.677 --> 00:51:23.680 Scale your human edge. 00:51:31.021 --> 00:51:33.923 You've just seen solutions powered by AI 00:51:33.923 --> 00:51:36.493 that are transforming industries and government, 00:51:37.294 --> 00:51:38.495 but let me take a step back 00:51:38.495 --> 00:51:41.598 to focus on questions we hear from leaders across every industry, 00:51:42.332 --> 00:51:45.335 where can I find the biggest efficiency gains from AI? 00:51:45.902 --> 00:51:49.639 How do I integrate AI into existing processes effectively? 00:51:50.474 --> 00:51:54.211 How do I build a culture that actually embraces AI adoption? 00:51:55.011 --> 00:51:57.581 These questions reveal something crucial. 00:51:57.581 --> 00:52:00.383 Organizations recognize AI's potential, 00:52:00.383 --> 00:52:03.386 but they're searching for the right approach to unlock it, 00:52:03.487 --> 00:52:07.324 and here's what we've discovered. AI value realization 00:52:07.324 --> 00:52:10.927 isn't only a technology problem, it's a work design problem. 00:52:11.761 --> 00:52:15.532 The organizations that win aren't just deploying AI the fastest, 00:52:16.333 --> 00:52:19.369 they're the ones redesigning how work gets done to harness 00:52:19.369 --> 00:52:22.772 both human and machine capabilities together. 00:52:24.141 --> 00:52:25.642 So, consider this reality. 00:52:25.642 --> 00:52:29.179 When everyone has access to the same AI models, 00:52:29.179 --> 00:52:32.182 the same cloud infrastructure, the same tools, 00:52:32.649 --> 00:52:35.352 what becomes your competitive edge? 00:52:35.352 --> 00:52:36.653 So, let's anchor on what remains 00:52:36.653 --> 00:52:40.090 constant for organizations even as technology accelerates. 00:52:40.557 --> 00:52:44.461 Enterprises will always exist to fulfill their core mission. 00:52:44.461 --> 00:52:48.231 They will always seek efficiency and acceleration as competitive advantages, 00:52:48.798 --> 00:52:52.335 and critically, even as AI becomes ubiquitous, 00:52:52.736 --> 00:52:56.039 humans, humans remain that scalable edge. 00:52:56.573 --> 00:53:01.611 Human ingenuity, judgment, empathy, ambition, 00:53:01.611 --> 00:53:05.081 these capabilities become more valuable, not less 00:53:05.482 --> 00:53:07.918 in an AI-enabled world, 00:53:07.918 --> 00:53:12.088 but we need to deliberately design work to unlock these capabilities 00:53:12.088 --> 00:53:16.092 in combination with machines, not in competition with them, 00:53:17.727 --> 00:53:20.697 and this is where Deloitte's approach differs from others. 00:53:20.697 --> 00:53:25.569 We don't just implement AI, we redesign the work itself, 00:53:25.569 --> 00:53:28.572 and this is a discipline that requires real expertise. 00:53:28.638 --> 00:53:31.341 It's science and art together. 00:53:31.341 --> 00:53:34.377 It means understanding where AI disruption affects 00:53:34.377 --> 00:53:37.380 people and jobs at the task level. 00:53:37.380 --> 00:53:39.950 It's assessing human necessity, 00:53:39.950 --> 00:53:43.286 what does that uniquely human work beyond simple automation potential, 00:53:44.054 --> 00:53:46.189 and it is about designing minimum 00:53:46.189 --> 00:53:49.459 viable workflows that combine those human and machine capabilities, 00:53:50.360 --> 00:53:54.030 creating new operating models and metrics that sustain this new way of working. 00:53:55.131 --> 00:53:56.366 That's why today, I'm excited 00:53:56.366 --> 00:53:59.402 to announce our Integrated Work Design Suite that includes 00:53:59.402 --> 00:54:03.139 four platform modules that organizations can take advantage of today. 00:54:04.574 --> 00:54:07.577 First, our Workforce Analyzer. 00:54:07.844 --> 00:54:12.382 It is your go-to tool designed to help you understand the disruption 00:54:12.716 --> 00:54:15.719 potential of AI within your organization. 00:54:16.453 --> 00:54:19.456 By mapping job architectures to individual tasks, 00:54:19.723 --> 00:54:23.226 it delivers an in-depth report that quantifies 00:54:23.226 --> 00:54:26.229 AI's impact on roles and functions. 00:54:27.230 --> 00:54:30.300 Workforce Analyzer can empower you to identify 00:54:30.967 --> 00:54:33.770 high-disruption employee segments, 00:54:33.770 --> 00:54:39.943 pinpoint areas of disproportionate value, and make informed decisions 00:54:39.943 --> 00:54:42.946 about talent strategies and AI integration. 00:54:43.780 --> 00:54:45.883 We've done this with a number of organizations. 00:54:45.883 --> 00:54:50.486 One, the Employee Success Team, aka the HR team at Salesforce, 00:54:50.486 --> 00:54:55.725 engaged Deloitte to understand AI potential impacts on their organization. 00:54:56.059 --> 00:55:00.430 Using Workforce Analyzer, we identified that the majority of their workforce 00:55:00.430 --> 00:55:04.868 can have work task activities that will be augmented by technology, 00:55:05.602 --> 00:55:10.040 enabling Salesforce to begin to redesign their workforce and design new workforce 00:55:10.040 --> 00:55:12.976 strategies, new jobs, new roles, new ways of working 00:55:12.976 --> 00:55:16.780 that prepare their future workforce to be fully enabled with AI. 00:55:18.948 --> 00:55:21.051 So, that's the power of Workforce Analyzer. 00:55:22.018 --> 00:55:26.791 Our workforce x the AI Integration Studio then lets you simulate 00:55:26.791 --> 00:55:30.794 the business impact of AI initiatives before you invest in technology, 00:55:31.161 --> 00:55:35.131 pinpointing those trade-offs between workforce risks and other items. 00:55:35.932 --> 00:55:40.370 Leaders can test decisions like building versus buying technology 00:55:40.870 --> 00:55:44.641 and see the implications for that in ROI, cost, and performance. 00:55:45.442 --> 00:55:49.212 The result is clear, a road map from experimentation 00:55:49.212 --> 00:55:52.582 to execution that drives tangible value for your organization. 00:55:54.117 --> 00:55:58.455 Our third module within our Work Design Studio is our Work Design Canvas. 00:55:58.755 --> 00:56:02.092 It's an essential element in your AI-driven transformation approach. 00:56:02.692 --> 00:56:07.197 After you've analyzed those potential AI impacts for tasks and jobs, 00:56:07.864 --> 00:56:11.267 you can then use the suite of tools to model and simulate outcomes. 00:56:11.267 --> 00:56:13.169 The Work Design Canvas empowers you 00:56:13.169 --> 00:56:16.172 to redesign that work within your chosen business function. 00:56:16.940 --> 00:56:21.644 Importantly, just like our AI solutions, these tools are designed to be iterative, 00:56:21.911 --> 00:56:25.049 supporting ongoing refinement and continuous improvement. 00:56:25.049 --> 00:56:30.620 It ensures transformation remains strategic, adaptive, and sustainable over time. 00:56:32.222 --> 00:56:36.426 Lastly, the fourth module is our Organization Digital Twin. 00:56:37.127 --> 00:56:40.530 It is a real-time simulation engine that transforms 00:56:40.530 --> 00:56:43.833 disconnected data into actionable insights, 00:56:44.768 --> 00:56:48.771 helping you navigate disruption, invest strategically, 00:56:48.771 --> 00:56:51.141 and upskill your workforce with confidence. 00:56:52.175 --> 00:56:57.013 Organizations can pressure test AI investment opportunities before committing. 00:56:57.013 --> 00:57:00.520 They can see operating model impacts, such as if I change my 00:57:00.520 --> 00:57:03.520 insource/outsource decisions or my location footprint strategy 00:57:03.520 --> 00:57:07.190 as I invest in technology, and they can adjust those strategies accordingly. 00:57:08.057 --> 00:57:11.761 Organization Digital Twin instantly shows impacts and answers questions, 00:57:11.761 --> 00:57:14.764 giving you a competitive edge in a rapidly changing world. 00:57:16.566 --> 00:57:19.736 So, in a world where technology is increasingly democratized, 00:57:20.203 --> 00:57:23.206 the value of human potential just went up. 00:57:23.773 --> 00:57:28.678 When everyone has technology, even the fastest movers become one of many. 00:57:28.745 --> 00:57:33.316 Speed only works until democratization levels the field, by which time 00:57:33.316 --> 00:57:36.820 it's too late to invest in the best competitive edge, the human edge. 00:57:37.587 --> 00:57:40.990 So, where judgment meets empathy and where ambition drives 00:57:40.990 --> 00:57:44.127 ingenuity, machines accelerate those capabilities, 00:57:44.160 --> 00:57:48.731 forcing us to find new potential and continuously adapt to that edge 00:57:49.332 --> 00:57:54.504 because humans and machines together will outperform machines alone, every time. 00:57:55.071 --> 00:57:57.540 So, with that, I would like to welcome Brett back to the stage. 00:58:07.717 --> 00:58:10.286 So, the human edge certainly becomes more valuable 00:58:10.286 --> 00:58:14.657 when we free people from repetitive work and unleash human ingenuity, 00:58:15.124 --> 00:58:18.094 and that's exactly what Zora AI does. 00:58:18.094 --> 00:58:20.897 It handles the heavy lifting so your teams can focus 00:58:20.897 --> 00:58:23.900 on judgment, creativity, and strategic thinking. 00:58:24.267 --> 00:58:26.537 I want to introduce Ranjit Bawa to take us through 00:58:26.537 --> 00:58:29.774 our latest Zora AI announcements. Ranjit. 00:58:37.881 --> 00:58:41.518 As AI shapes how work gets done, success will come from 00:58:41.519 --> 00:58:46.055 how we apply it, initially to free up time from repetitive work, 00:58:46.055 --> 00:58:50.293 but eventually to really reimagine processes and capabilities, but also 00:58:50.293 --> 00:58:54.298 to create new opportunities for growth and net accretive revenue models. 00:58:55.832 --> 00:59:00.070 The result, across functions, your teams are navigating the same challenge: 00:59:00.403 --> 00:59:04.107 too many manual steps, disconnected systems, fragmented data, 00:59:04.908 --> 00:59:07.911 and too little time to work that really moves the business forward, 00:59:08.044 --> 00:59:10.847 and if you really think about it, the AI curve, 00:59:10.847 --> 00:59:14.150 price performance curve continues to drive dive down. 00:59:14.284 --> 00:59:18.421 As AI matures, our understanding of AI and the application of AI also matures. 00:59:18.721 --> 00:59:24.360 So, we needed a solution that not only has the rigor, the quality of a product, 00:59:24.360 --> 00:59:27.363 but also the agility and scalability of a platform. 00:59:27.397 --> 00:59:28.998 Hence, Zora AI. 00:59:29.933 --> 00:59:32.168 Particularly as we contract to business outcomes, 00:59:32.168 --> 00:59:36.039 a multi-agent platform builds, deploys, and governs digital agents 00:59:36.039 --> 00:59:40.009 to work alongside your teams, designed to automate, augment, 00:59:40.009 --> 00:59:43.012 and eventually reimagine business processes and capabilities. 00:59:43.613 --> 00:59:47.817 These agents are specialized software workers designed to handle complex 00:59:47.817 --> 00:59:52.188 business tasks in enterprise functions such as finance, but very soon 00:59:52.455 --> 00:59:56.593 sourcing, procurement, cyber, talent, and various other enterprise functions. 00:59:57.260 --> 01:00:00.063 The agents collaborate in a continuous cycle, 01:00:00.063 --> 01:00:03.199 perceiving real-time data reasoning through analytical models, 01:00:03.399 --> 01:00:06.402 acting to execute workflows from beginning to end. 01:00:06.502 --> 01:00:09.505 The result, fewer loops, shorter cycles, 01:00:09.572 --> 01:00:12.643 the capacity back to the businesses so they can really focus 01:00:12.643 --> 01:00:14.844 on the things that really matter. 01:00:14.844 --> 01:00:18.448 Today, I am super-excited to announce two recent 01:00:18.448 --> 01:00:21.718 releases of Zora: Zora Advise and Zora Perform. 01:00:22.151 --> 01:00:24.287 Both are available for GA. 01:00:24.287 --> 01:00:27.957 We started with finance as the core engine behind the enterprise, 01:00:28.391 --> 01:00:32.695 given our extensive expertise across tax, accounting, and finance transformation. 01:00:33.229 --> 01:00:36.866 So, first, Zora Advise, particularly CFO Insights. 01:00:37.333 --> 01:00:41.971 Part of Zora Advise is a set of product suite that transforms executive 01:00:41.971 --> 01:00:45.908 reporting into dynamic, personalized intelligence, delivering the why 01:00:46.242 --> 01:00:49.245 behind the numbers and recommending what to do next, 01:00:49.779 --> 01:00:53.483 and Zora Perform and its suite of capabilities handles 01:00:53.483 --> 01:00:57.520 heavy lifting in finance operations, autonomously processing invoices, 01:00:57.754 --> 01:01:01.824 closing the books faster, and maintaining accuracy across your financial systems. 01:01:03.092 --> 01:01:04.293 So, what really makes Zora 01:01:04.293 --> 01:01:07.296 powerful is how it works with the systems you already have. 01:01:07.430 --> 01:01:10.633 It's designed to keep pace with the evolving technology landscape, 01:01:10.767 --> 01:01:13.770 particularly design an open-source technology, 01:01:14.270 --> 01:01:18.241 which means it can really leverage the best models available to us, 01:01:18.241 --> 01:01:19.342 whether it's Llama 01:01:19.342 --> 01:01:23.146 or Open AI, open source, or various other models available globally, 01:01:23.446 --> 01:01:28.685 but also it works with key technology stacks, such as SAP, ServiceNow, Oracle. 01:01:28.851 --> 01:01:33.823 It can run on all major cloud providers, AWS, Google, Oracle Cloud, and the rest, 01:01:33.823 --> 01:01:36.826 but it also connects directly to your business applications. 01:01:37.960 --> 01:01:41.597 Not only that, it also operates in the sovereign cloud environment 01:01:41.597 --> 01:01:45.201 and the private cloud infrastructure, whether it's with HPE or Dell. 01:01:46.602 --> 01:01:48.671 So, let me take a minute to bring this to life. 01:01:49.972 --> 01:01:54.744 Hewlett Packard Enterprise, a big client of ours, recently reinvented the executive 01:01:54.744 --> 01:01:59.082 reporting with CFO Insights from Zora, part of our Zora Advise Suite, 01:02:00.149 --> 01:02:03.086 turning performance reviews into a personalized news feed 01:02:03.086 --> 01:02:05.889 that surfaces what matters the most. 01:02:06.189 --> 01:02:10.893 The impact includes 50% faster reporting from data to decisions, 01:02:11.294 --> 01:02:16.400 25% lower processing cost, optimizing install and time to value, 01:02:17.834 --> 01:02:19.669 and both built in recommendations 01:02:19.669 --> 01:02:21.871 what's happening and what to do about it. 01:02:21.871 --> 01:02:25.641 With Zora Perform, invoice management agents automatically 01:02:25.641 --> 01:02:29.011 review and validate every invoice, spotting patterns, 01:02:29.011 --> 01:02:30.715 catching errors, flagging issues, 01:02:31.415 --> 01:02:36.919 75% fewer reconciliation errors on average, up to 75% reduction 01:02:36.919 --> 01:02:41.691 in data operations costs, and 85% less time spent on troubleshooting, 01:02:41.958 --> 01:02:45.228 all resulting in a two- to four-day reduction in close time. 01:02:47.029 --> 01:02:49.099 We're not just building these for our clients, 01:02:49.599 --> 01:02:51.501 we're also applying them to ourselves, 01:02:52.502 --> 01:02:56.305 and Zora AI is now also live in our own finance operations. 01:02:56.305 --> 01:03:00.843 Our finance teams are using Zora AI the same way HPE does, getting instant 01:03:00.843 --> 01:03:04.580 answers to financial questions, built-in explanations and recommendations, 01:03:04.747 --> 01:03:08.751 but more so they're also helping us make it better with active feedback 01:03:08.918 --> 01:03:10.520 and a closed feedback loop 01:03:10.520 --> 01:03:13.290 around functionality that improves with every release. 01:03:13.890 --> 01:03:17.460 To the users, it feels instant, but behind the scene, 01:03:17.460 --> 01:03:21.364 there's a coordinated team of digital workers collaborating at machine speed. 01:03:22.331 --> 01:03:26.135 Deloitte is committed to redefining professional services in the age of AI. 01:03:27.136 --> 01:03:30.573 So, from Converge, which is solving mission-critical challenges 01:03:30.573 --> 01:03:34.777 across every major industry segment in place for the last 12 years 01:03:34.777 --> 01:03:37.914 with proven track record across 30-plus countries, 01:03:37.914 --> 01:03:41.551 to Zora, our digital workforce transforming finance functions, 01:03:41.551 --> 01:03:44.554 but various other functions across the enterprise. 01:03:44.720 --> 01:03:48.591 This is how we will deliver trusted, secure outcomes at scale 01:03:48.991 --> 01:03:52.361 through platforms working right now. With the market 01:03:52.361 --> 01:03:55.965 changing so rapidly, there continues to be numerous areas of opportunity. 01:03:56.599 --> 01:03:58.334 We're up for that challenge, 01:03:58.334 --> 01:04:01.971 not just to keep pace with AI, but lead the transformation. 01:04:09.378 --> 01:04:13.282 Okay, now is the time for Act Two of Forward. 01:04:13.549 --> 01:04:16.385 We're going to take a peek behind the curtain and dig a little deeper 01:04:16.385 --> 01:04:19.789 about how we deliver these amazing products and innovations. 01:04:20.089 --> 01:04:21.891 It doesn't happen by accident. 01:04:21.891 --> 01:04:24.927 It's a deliberate mixing board of four things we're going to cover: 01:04:25.228 --> 01:04:29.932 human expertise, tech platforms, strategic partnerships, and emerging tech. 01:04:30.366 --> 01:04:32.034 So, we're creating this multiplier effect. 01:04:32.034 --> 01:04:34.036 Our people shape our platforms; 01:04:34.036 --> 01:04:37.873 our platforms amplify and accelerate our people; and our alliance partners, 01:04:37.873 --> 01:04:41.911 they extend both exponentially, harnessing the best of what's real, 01:04:41.911 --> 01:04:45.681 just underline that, that's really important, what's real in new tech, 01:04:45.681 --> 01:04:49.185 but it begins and ends with our people. I love this view. 01:04:49.185 --> 01:04:51.888 I joined the firm as a computer engineer 30 years ago. 01:04:51.888 --> 01:04:57.093 I never thought I would get to say, at Deloitte we have 250,000 technologists. 01:04:57.126 --> 01:04:58.661 Let's get some applause on that. 01:04:58.661 --> 01:05:04.567 Yeah, 50,000 engineers, 5000 architects worldwide. 01:05:04.834 --> 01:05:09.272 These are our deep technologists with specialization that they can use 01:05:09.272 --> 01:05:14.243 to build exactly we've seen today, tomorrow solutions that are real. 01:05:14.543 --> 01:05:17.113 These aren't just consultants who happen to understand technology, 01:05:17.113 --> 01:05:19.715 and this talent spans across everything you would expect, 01:05:19.715 --> 01:05:21.017 some of the traditional domains, 01:05:21.017 --> 01:05:25.021 so full-stack engineers, data scientists, machine learning researchers, 01:05:25.221 --> 01:05:30.393 product managers and more, hugely important, but it also includes industrial 01:05:30.393 --> 01:05:33.396 mechanical engineers designing the physically AI systems; 01:05:33.596 --> 01:05:36.866 PhDs in physics and materials science, powering our quantum business; 01:05:37.033 --> 01:05:40.937 and emerging technologies in biotech, energy tech, and more, 01:05:41.637 --> 01:05:45.041 and what differentiates our technologists is the depth they bring, 01:05:45.541 --> 01:05:48.445 sure deep technical jobs, but deep industry knowledge, 01:05:48.445 --> 01:05:52.848 deep operational expertise. They understand both the art of the possible 01:05:53.182 --> 01:05:56.185 in your specific world, your business, your sector, your mission, 01:05:56.319 --> 01:05:59.855 but also they've seen what succeeds and what fails. 01:05:59.855 --> 01:06:04.360 Both are important when you deploy technology at scale across the globe. 01:06:04.927 --> 01:06:08.431 They know how to make it real for the heart of business and mission 01:06:08.931 --> 01:06:10.266 and our products engineers, 01:06:10.266 --> 01:06:13.703 they work together seamlessly with clinicians and nurses 01:06:13.703 --> 01:06:17.440 and actuaries and insurance adjusters and bankers, even generals, 01:06:17.974 --> 01:06:21.077 because they know what works, they know what doesn't, 01:06:21.077 --> 01:06:23.546 and they know how to build something better. 01:06:23.546 --> 01:06:25.281 Some examples are health care engineers. 01:06:25.281 --> 01:06:28.584 They understand both HIPAA compliance and clinical AI model training. 01:06:28.884 --> 01:06:33.255 Our manufacturing specialists, they know the factory floor operations code, 01:06:33.489 --> 01:06:36.592 but they also know cloud architecture and distributed networks. 01:06:37.026 --> 01:06:41.263 Our financial services, the architects that combine regulatory requirements with, 01:06:41.297 --> 01:06:45.201 this isn't a typo, quantum-inspired fraud detection. 01:06:45.201 --> 01:06:48.537 That's real. PhD pending and PhD patent pending. 01:06:48.537 --> 01:06:51.240 This is live, folks. Roll with it. 01:06:51.240 --> 01:06:54.377 Our human expertise extends beyond technical knowledge. 01:06:54.510 --> 01:06:57.980 Every algorithm, every platform, every AI agent carries 01:06:57.980 --> 01:07:01.217 a collective wisdom, 180 years of client delivery. 01:07:01.984 --> 01:07:05.087 Instead of just rallying to build upon decades of best practices 01:07:05.388 --> 01:07:07.923 and familiar problems, what you see, 01:07:07.923 --> 01:07:10.626 we're harnessing this amazing talent to invent novel 01:07:10.626 --> 01:07:13.763 solutions for new opportunities, many of which 01:07:13.763 --> 01:07:17.500 we have never, our clients have never, the world has never imagined before. 01:07:18.000 --> 01:07:21.237 So, the result is tech solutions to understand business context, 01:07:21.237 --> 01:07:26.008 industry dynamics, operational realities, plus the non-negotiables, the things 01:07:26.008 --> 01:07:29.612 Deloitte's known for, quality, trust, and for everyone in the tech world, 01:07:29.812 --> 01:07:33.482 those ilities that really matter: security, reliability, scalability, 01:07:33.482 --> 01:07:37.520 extensibility, that all has to be there if you can trust it to run your business. 01:07:37.820 --> 01:07:42.124 This human foundation is what enables everything you've seen today, 01:07:42.425 --> 01:07:45.494 and it's what's going to enable everything that we stand for moving forward. 01:07:46.095 --> 01:07:49.065 So, now let's go to Act Two, Part Two of this. 01:07:49.065 --> 01:07:51.500 Let me invite Marlin Metzger to the stage to show you how we've 01:07:51.500 --> 01:07:56.172 taken this human expertise and scaled it through our Ascend platform. Marlin. 01:08:03.913 --> 01:08:05.748 Ascend is Deloitte's Delivery Platform. 01:08:05.748 --> 01:08:09.318 Many things you've experienced today at Forward will be available through Ascend. 01:08:09.852 --> 01:08:16.156 You see, at Deloitte, we're revolutionizing how we work with and alongside AI. 01:08:16.156 --> 01:08:21.630 Going forward, every new project at Deloitte will use Ascend. 01:08:21.997 --> 01:08:25.034 You may ask why? Well, it's simple. 01:08:25.034 --> 01:08:28.037 It's how we unlock the power of Deloitte. 01:08:28.137 --> 01:08:31.140 Think about our industry expertise. 01:08:31.340 --> 01:08:34.710 It's embedded in our Ascend knowledge graph, cutting-edge AI. 01:08:35.144 --> 01:08:39.281 Yeah, it's built into every application, from agents to products. 01:08:39.849 --> 01:08:43.786 Our methods, also in the knowledge graph, often combine with both third-party 01:08:43.786 --> 01:08:49.025 and first-party data to allow us to deliver faster and even real time. 01:08:49.825 --> 01:08:54.163 We've invested heavily in Ascend, and we will continue to invest in Ascend 01:08:54.163 --> 01:08:57.266 because it drives impact and greater value for our clients. 01:08:57.800 --> 01:09:00.369 It also drives impact for our people. 01:09:00.369 --> 01:09:03.372 It's where our professionals start and end their day. 01:09:04.607 --> 01:09:07.543 It simply makes us better. So, I'm really excited. 01:09:08.043 --> 01:09:09.478 Are you all ready to meet Ascend? 01:09:09.478 --> 01:09:12.481 Yeah. 01:09:14.283 --> 01:09:18.921 Meet Ascend, Deloitte's platform to deliver value to our clients. 01:09:19.488 --> 01:09:22.958 Ascend unites 180 years of Deloitte experience 01:09:22.958 --> 01:09:26.595 and industry expertise, an extensive data fabric, 01:09:26.929 --> 01:09:31.800 our alliance technologies, agentic workflows, all in one place 01:09:31.800 --> 01:09:34.970 with a backbone that is literally built on trust 01:09:35.704 --> 01:09:38.707 because in a world where AI tools are multiplied, 01:09:38.707 --> 01:09:42.377 how do you know what to trust? The Deloitte Trust Score 01:09:42.377 --> 01:09:45.114 provides the confidence that we're constantly getting Ascend. 01:09:46.015 --> 01:09:49.218 This is the next generation of what it means to be your trusted advisor. 01:09:51.120 --> 01:09:55.725 Organizations have a lot to focus on. So, why should they care about Ascend? 01:09:56.992 --> 01:10:00.729 It allows us to drive speed towards goals through advanced starting points, 01:10:01.697 --> 01:10:06.901 rapid prototyping, live GenAI-enabled collaboration, 01:10:06.901 --> 01:10:09.205 all driving to better outcomes for you. 01:10:10.239 --> 01:10:13.242 Ascend is where your teams collaborate with Deloitte. 01:10:13.542 --> 01:10:16.345 Imagine not waiting for a deliverable because you see 01:10:16.345 --> 01:10:19.348 what Deloitte sees with full transparency. 01:10:19.481 --> 01:10:23.884 You get the speed, quality, and resources that are our own consulting services. 01:10:23.884 --> 01:10:28.024 Ascend isn't one tool, it's all of Deloitte. 01:10:28.824 --> 01:10:31.827 Innovate with Ascend. 01:10:37.066 --> 01:10:38.601 Pretty awesome, right? 01:10:38.601 --> 01:10:42.671 So, every time I watch that, I want to go solve some big problems, I really do. 01:10:42.771 --> 01:10:45.908 So, just imagine, I can now take an idea 01:10:46.041 --> 01:10:50.512 to a working prototype in days, if not hours. 01:10:51.180 --> 01:10:54.183 I want to point out one piece of the video that highlighted for emphasis, 01:10:54.617 --> 01:10:58.221 Ascend isn't one tool, it's the power of Deloitte. 01:10:59.421 --> 01:11:03.826 Okay, at Deloitte, we work in every industry, delivering an array of services, 01:11:03.859 --> 01:11:06.962 and it's hard to imagine how one platform could serve them all. 01:11:07.863 --> 01:11:12.735 Now, with Ascend, we do it with speed, trust, and precision. 01:11:12.735 --> 01:11:16.839 When our teams are delivering technology implementations, evaluating agentic impacts 01:11:16.839 --> 01:11:20.609 to a business process, or when executing a merger, they have the 01:11:20.609 --> 01:11:24.847 Deloitte IP and the data to feel it available to them through Ascend. 01:11:26.115 --> 01:11:29.151 To provide some context, I would like to invite my colleague, Amit, up 01:11:29.285 --> 01:11:32.321 to talk about how Ascend is being used across our strategy practice. 01:11:33.890 --> 01:11:35.090 Amit, welcome. 01:11:35.090 --> 01:11:36.090 Thank you. 01:11:37.593 --> 01:11:41.030 So, let's get started with a few questions here. 01:11:41.597 --> 01:11:45.501 How Ascend changed the way our teams work with clients? 01:11:46.902 --> 01:11:50.639 So, the most fundamental part is if you think about what's Ascend, 01:11:50.639 --> 01:11:55.210 Ascend is the platform where we have all of our methods. So, how we do work. 01:11:55.210 --> 01:11:57.713 So, our teams will show up platform first. 01:11:57.713 --> 01:12:00.949 So, our methods, all the data they need, client data, 01:12:00.949 --> 01:12:03.786 our data, all up away to pull all that in, 01:12:04.253 --> 01:12:07.656 and then all the tools they need, the GenAI tools, other workflow tools, 01:12:07.656 --> 01:12:09.291 whatever they need to go do all that work, 01:12:09.291 --> 01:12:11.694 that's how they show up. 01:12:11.694 --> 01:12:14.330 Second, which is where the more important part is 01:12:14.330 --> 01:12:17.199 typically when you're doing strategy work, like if you go 01:12:17.199 --> 01:12:20.269 like old school, you would come in and do a bunch of work, you know, 01:12:20.269 --> 01:12:24.540 weeks and months of analysis and coming up with results and hypotheses, 01:12:25.341 --> 01:12:31.246 now, our teams start on day one, minute one already with a working hypothesis. 01:12:31.246 --> 01:12:34.149 So, we've already taken all the information that we have 01:12:34.149 --> 01:12:36.952 about the client situation. We've got all the information 01:12:36.952 --> 01:12:39.621 about whatever problems the sector is dealing with. 01:12:39.621 --> 01:12:43.392 We've done all of the work to come up with what is the initial hypotheses, 01:12:43.792 --> 01:12:46.962 what could be possible solutions, and a possible plan. 01:12:47.329 --> 01:12:48.831 So, the first meeting with the client 01:12:48.831 --> 01:12:52.601 is let's start with a plan and let's iterate on that versus all the time. 01:12:52.601 --> 01:12:56.672 So, just the value to the time to value tremendously different. 01:12:57.106 --> 01:13:00.709 And then finally, you show up with a very small targeted team 01:13:00.709 --> 01:13:04.046 which has the platform, but with Ascend, with what you talked about 01:13:04.046 --> 01:13:06.115 with the knowledge graph and with all the knowledge, 01:13:06.115 --> 01:13:09.685 you literally have all the knowledge of 180 years of our experience 01:13:09.685 --> 01:13:11.620 and our industry depth, the sector-specific, 01:13:11.620 --> 01:13:13.655 domain-specific depth in the platform. 01:13:13.655 --> 01:13:14.891 That's what's different. 01:13:14.891 --> 01:13:17.593 Love it. I really like the whole, you know, point around, 01:13:17.593 --> 01:13:20.596 you know, we're ready to go before we're actually walking into anything. 01:13:20.596 --> 01:13:22.131 So, makes perfect sense. 01:13:22.131 --> 01:13:26.001 So, how have clients expectations changed now that we're, 01:13:26.601 --> 01:13:27.836 you know, delivering strategy work? 01:13:29.071 --> 01:13:31.606 So, the client expectations are really, 01:13:31.606 --> 01:13:33.876 you know, I'll put them in a couple of categories. 01:13:34.176 --> 01:13:37.146 So, what's table stakes, what's changed, and what's not changed? 01:13:37.146 --> 01:13:39.047 So, the table stakes is, of course, every client 01:13:39.047 --> 01:13:42.584 if you show up today, they're expecting we will use GenAI tools. 01:13:42.584 --> 01:13:46.221 We will use a model, we will use that to synthesize data as expected, right. 01:13:46.221 --> 01:13:47.556 So, that is just table stakes. 01:13:47.556 --> 01:13:50.826 If you're not showing up in a platform and a set of tools 01:13:51.326 --> 01:13:55.097 that you do say we will use, that's like that's expected, right. 01:13:55.097 --> 01:13:59.935 So, that's one. I think the part which is a little bit different is 01:14:00.502 --> 01:14:03.572 the clients are expecting that we are not just showing up with tech. 01:14:03.806 --> 01:14:08.177 If that's all we had, the client can then themselves go and he and she can go, 01:14:08.477 --> 01:14:10.946 spin up the latest model and ask 15 prompts and be like, 01:14:10.946 --> 01:14:13.115 here is my strategy, now I can go execute, right. 01:14:13.115 --> 01:14:16.852 So, what they're expecting is that we are showing up with that balance of the 01:14:16.852 --> 01:14:20.222 human and the machine right there, it's our experts, 01:14:20.222 --> 01:14:23.826 it's our our domain depth surrounded by all the technology, 01:14:23.826 --> 01:14:27.863 but our experts contextualizing it and making it real for them, 01:14:27.863 --> 01:14:30.632 so that balance, that's what they're expecting. 01:14:30.632 --> 01:14:34.369 And then finally, the part that is not really changing is 01:14:34.770 --> 01:14:38.707 so the clients have always trusted us to be their advisor 01:14:38.707 --> 01:14:41.410 in their most complicated decisions they have to make, 01:14:41.410 --> 01:14:44.279 and the part that is not changing is as the world 01:14:44.279 --> 01:14:47.883 gets more complex and even more difficult to navigate, 01:14:48.517 --> 01:14:51.520 our clients are expecting that we are the ones that they can trust 01:14:51.854 --> 01:14:53.589 to guide them through that, 01:14:53.589 --> 01:14:56.391 and when we are using all this technology, that we are 01:14:56.391 --> 01:15:00.262 the ones who can apply that trust lens and trust filter on top of it 01:15:00.529 --> 01:15:03.632 so that they can have confidence in the decisions they're making. 01:15:03.799 --> 01:15:06.568 So, that really is what's different. 01:15:06.568 --> 01:15:10.038 So, you mentioned a lot of things there around, you know, just framing this up, 01:15:10.072 --> 01:15:14.176 there is a lot of, I would say, you know, noise in the market 01:15:14.176 --> 01:15:15.878 about these scenarios that are going on. 01:15:15.878 --> 01:15:18.113 Can you just give us an example, like make it real for everybody? 01:15:19.147 --> 01:15:21.116 Sure. So, so many examples. 01:15:21.116 --> 01:15:23.218 So, let me let me pick one, 01:15:23.218 --> 01:15:27.389 which I think is close to some people's heart in this group here, China. 01:15:27.389 --> 01:15:30.092 So, in the telco industry for example. 01:15:30.092 --> 01:15:32.528 So, that's an industry which is going through massive change, 01:15:32.528 --> 01:15:35.931 and if you start to think about how you have to think about the future 01:15:35.931 --> 01:15:41.537 of functions, like customer service or billing or network management, 01:15:42.437 --> 01:15:46.408 we are able to walk in and start 01:15:46.408 --> 01:15:50.379 to help the client envision what is that future in a very agenetic world. 01:15:50.379 --> 01:15:53.549 So, agenetic blueprints. So, you come into Ascend. 01:15:53.549 --> 01:15:55.918 We have all of the industry capability maps. 01:15:55.918 --> 01:15:58.787 You start to create the blueprints, which is not just 01:15:58.787 --> 01:16:01.790 what the future could look like, but you can start to prioritize 01:16:01.823 --> 01:16:05.794 which of the functions will have a high impact due to 01:16:05.794 --> 01:16:09.131 applying agentic technologies and which ones actually will not. 01:16:09.498 --> 01:16:10.933 What is the role of the human? 01:16:10.933 --> 01:16:14.570 You know, earlier we talked about our workforce analyzer. 01:16:14.570 --> 01:16:18.740 So, which of the part of work we do will actually have more humans 01:16:18.740 --> 01:16:21.743 in the loop versus which can be more automated? 01:16:21.810 --> 01:16:23.679 Where will we get the most ROI? 01:16:23.679 --> 01:16:26.748 All all of our clients are struggling with massive investments in AI, 01:16:26.748 --> 01:16:28.250 but don't know where the ROI is. 01:16:28.250 --> 01:16:33.322 That's the up-front work that Ascend does is for the telco 01:16:33.322 --> 01:16:36.592 clients, create that plan, but not just create the plan, 01:16:36.592 --> 01:16:38.994 then you seamlessly go into saying, okay, I love it. 01:16:38.994 --> 01:16:40.997 Here are the five use cases I want to light up. 01:16:40.997 --> 01:16:43.565 For each use case, do a rapid prototype, 01:16:43.565 --> 01:16:46.535 as you said earlier, in hours, even minutes; 01:16:46.535 --> 01:16:49.371 work with the client so they can see what's real; 01:16:49.371 --> 01:16:52.074 from there, immediately go into an MVP solution 01:16:52.074 --> 01:16:54.409 that actually can work with the client data; 01:16:54.409 --> 01:16:57.379 and as you hardened that, go to production. 01:16:57.379 --> 01:17:00.882 Like that entire end-to-end cycle is happening today with our telco clients. 01:17:01.116 --> 01:17:02.684 Love it. Best example I've heard. 01:17:02.684 --> 01:17:06.989 So, I think, you know, hopefully you all know that we're excited about Ascend 01:17:06.989 --> 01:17:09.424 and Ascend is coming out to you. Appreciate it. 01:17:15.397 --> 01:17:16.732 Thank you, Marlin and Amit. 01:17:16.732 --> 01:17:20.035 Now, you've seen how Ascend powers everything we build 01:17:20.035 --> 01:17:23.338 and everything we deliver for strategy and computation operations, 01:17:23.505 --> 01:17:25.107 but let's be clear about one thing. 01:17:25.107 --> 01:17:26.242 We didn't build Ascend alone. 01:17:27.242 --> 01:17:30.812 Every solution you seen today was built with, on, and through 01:17:30.946 --> 01:17:33.949 our unmatched ecosystem of alliances, 01:17:34.182 --> 01:17:37.352 and to show you how we're taking that collaboration to the next level, 01:17:37.653 --> 01:17:40.321 please welcome my friend and partner, Dounia Senawi, 01:17:40.321 --> 01:17:42.225 our US Chief Commercial Officer. 01:17:46.962 --> 01:17:52.234 For over 35 years, we have built unmatched alliances with providers 01:17:52.234 --> 01:17:56.738 like AWS, Google, Salesforce, and ServiceNow. 01:17:56.972 --> 01:18:00.275 We go to market with more than 150 alliances, 01:18:00.275 --> 01:18:03.612 delivering transformations that make a real impact. 01:18:03.845 --> 01:18:07.015 Behind me, you see the breadth of that ecosystem. 01:18:07.482 --> 01:18:12.921 Everything you've seen today, Converge Industry Solutions, Zora AI, 01:18:13.155 --> 01:18:18.927 and our Ascend platform was built with, on, and through our alliances, 01:18:18.927 --> 01:18:23.865 and we've been doing this for years, co-investing with Google and AWS 01:18:23.965 --> 01:18:26.868 to build industry-specific solutions; 01:18:26.868 --> 01:18:32.507 co-developing AI capabilities with NVIDIA and Anthropic to power clients 01:18:32.674 --> 01:18:37.846 and our own agentic platforms; co-creating products with Salesforce, 01:18:37.846 --> 01:18:42.918 ServiceNow, and others to solve the toughest challenges in every sector. 01:18:43.185 --> 01:18:45.587 The value proposition is simple, 01:18:45.587 --> 01:18:50.926 delivering better, faster outcomes by bringing the best technology, 01:18:50.992 --> 01:18:54.062 the deepest sector and subsector expertise, 01:18:54.296 --> 01:18:57.699 and the right stakeholders together from day one. 01:18:58.200 --> 01:19:00.769 So, what does that look like in practice? 01:19:00.769 --> 01:19:04.639 It means that we're proactively bringing together multi-alliance 01:19:04.639 --> 01:19:08.276 solutions that no vendor could deliver alone. 01:19:08.744 --> 01:19:12.981 We've recently architected an Oracle database on AWS solution 01:19:12.981 --> 01:19:17.619 for a client that cut high-risk service gaps and saved $4 million. 01:19:18.019 --> 01:19:21.289 We brought together Salesforce and AWS in a deal 01:19:21.490 --> 01:19:25.060 where we secured investment from each party and future proof 01:19:25.060 --> 01:19:30.599 to cyber clients B2B sales coding process. From foundational models 01:19:30.599 --> 01:19:34.436 to hyperscalers, from established platform companies to start-ups, 01:19:34.770 --> 01:19:40.008 we co-invest, co-build, and connect solutions that deliver the highest levels 01:19:40.008 --> 01:19:43.712 of performance; security; and above all, value, 01:19:44.346 --> 01:19:49.250 and now we're building on that collaboration and taking co-innovation 01:19:49.250 --> 01:19:54.589 to the next level, building entirely new businesses together. 01:19:54.890 --> 01:19:59.728 So, today I'm excited to introduce Deloitte's CoVentures. 01:20:00.095 --> 01:20:02.931 Our approach is deliberately selective. 01:20:02.931 --> 01:20:07.869 When we enter a coventure, we use the full power of Deloitte to make it successful, 01:20:08.236 --> 01:20:11.973 dedicate an investment, data, technology, 01:20:12.073 --> 01:20:17.144 resources, and expertise to build a new business together. 01:20:17.144 --> 01:20:22.184 We build faster, we scale further than either of us could do alone, 01:20:22.551 --> 01:20:26.755 and what makes this model really powerful is aligned incentives. 01:20:27.088 --> 01:20:30.091 When the coventure succeeds, we both succeed. 01:20:30.492 --> 01:20:33.628 So, I'm very excited to talk about one of our first 01:20:33.862 --> 01:20:37.132 and most exciting coventures, hundredx. 01:20:37.465 --> 01:20:40.669 Rob Pace is the founder and CEO of hundredx, 01:20:40.802 --> 01:20:43.071 and he's going to join me in just a moment, 01:20:43.071 --> 01:20:46.208 and if you haven't seen Rob's very entertaining appearances 01:20:46.408 --> 01:20:50.011 on Mad Money with Jim Cramer, you are in for a treat. 01:20:51.480 --> 01:20:54.215 ... that's concerning. You've come up with something much better than that. 01:20:54.215 --> 01:20:56.416 You're talking about, MVP. 01:20:56.416 --> 01:21:01.189 Well, and I need to give credit to Deloitte Consulting who use that framework. 01:21:01.223 --> 01:21:02.523 Thank you, Deloitte. 01:21:02.523 --> 01:21:07.162 I love this framing, More Value for the Price. MVP. MVP. 01:21:07.162 --> 01:21:12.200 Are you an MVP company or is it an LVP, Low Value for Price? 01:21:12.434 --> 01:21:15.704 I think that's a key component of investing. 01:21:16.738 --> 01:21:18.673 Wow. 01:21:18.673 --> 01:21:23.044 Rob, thank you so much for joining me. I got the luckiest spot on today's agenda. 01:21:23.044 --> 01:21:27.249 No, no thank you, Dounia, and also, as Jim said, thank you, Deloitte. 01:21:27.249 --> 01:21:32.287 Thank you. Alright. So, your secret sauce is gathering this unbiased, 01:21:32.320 --> 01:21:35.624 we're going to come back to the word unbiased, sentiment data 01:21:35.624 --> 01:21:39.361 from consumers on the brands they love and their competitors, 01:21:39.728 --> 01:21:43.732 and this really allows our clients to understand insights 01:21:43.999 --> 01:21:46.534 and the intersection between price and value, 01:21:46.534 --> 01:21:49.104 and give them this ability to change outcomes. 01:21:49.104 --> 01:21:52.073 So, can you talk a little bit about the question 01:21:52.073 --> 01:21:54.710 that hundredx set to answer and how you did it? 01:21:55.410 --> 01:21:59.381 Yes. So, we believe we're the first company at scale 01:21:59.414 --> 01:22:05.120 to connect today's customer experiences with tomorrow's financial performance, 01:22:05.120 --> 01:22:08.023 and that's a very, very big unlock 01:22:08.023 --> 01:22:11.192 as we've been talking about today. The question is 01:22:11.192 --> 01:22:14.195 if outcomes are the most important thing to any business 01:22:14.396 --> 01:22:17.132 in any industry, why isn't there better data, 01:22:17.132 --> 01:22:18.566 why isn't it the scorecard, 01:22:18.566 --> 01:22:22.938 why isn't it absolutely central to executive decision-making? 01:22:22.938 --> 01:22:25.373 And the answer is survey is broken. 01:22:25.373 --> 01:22:28.443 We all know that as consumers. It's not actionable. 01:22:28.443 --> 01:22:31.846 It's viewed as squishy and it doesn't tie to future performance 01:22:31.846 --> 01:22:34.683 if it's not reliable, something can be important, 01:22:34.683 --> 01:22:38.119 but therefore it doesn't get elevated to the position it needs to be, 01:22:38.119 --> 01:22:41.556 and that's what we're taking to the market together with great success. 01:22:41.790 --> 01:22:42.390 So important. 01:22:42.390 --> 01:22:46.361 I love that, the customer experience linked to financial performance. 01:22:46.594 --> 01:22:50.498 So, tell us why you chose to build your business with Deloitte? 01:22:50.532 --> 01:22:53.335 What could we do together that each of us couldn't do alone? 01:22:53.335 --> 01:22:54.936 Yeah, there were a lot of reasons. 01:22:54.936 --> 01:23:00.442 So, at the top of the list is trust. We trust Deloitte. 01:23:00.442 --> 01:23:05.714 And ever since we put our partnership together, I can't think of a single issue 01:23:05.714 --> 01:23:08.183 that we had to navigate through together 01:23:08.183 --> 01:23:10.986 that we haven't been able to solve in one or two conversations. 01:23:10.986 --> 01:23:13.822 It comes back to what you you said, we feel that 01:23:13.822 --> 01:23:18.960 you want us to succeed just like we want you to succeed. 01:23:18.960 --> 01:23:20.428 So, trust is paramount. 01:23:20.428 --> 01:23:24.232 Also, you're the world's best at executing implementation, 01:23:24.466 --> 01:23:28.770 and if we can bring this new lens of strategy that's actionable 01:23:28.770 --> 01:23:32.741 based on customer centricity, no one will be able to touch Deloitte, right, 01:23:32.741 --> 01:23:36.745 because you'll be able to put yourself in the client's shoes of 01:23:36.745 --> 01:23:40.682 I have to make decisions and then I have to execute them and live with them, 01:23:40.682 --> 01:23:43.718 and often different people provide the strategy 01:23:43.852 --> 01:23:47.322 you don't understand what's involved in the execution and vice versa. 01:23:47.522 --> 01:23:49.924 So, I think this together is going to be very powerful. 01:23:49.924 --> 01:23:54.929 And then, the final thing is early on when we were working with you, 01:23:54.929 --> 01:23:59.234 I was in a meeting with Christina on your ELT and after we never met, 01:23:59.234 --> 01:24:02.470 and after that client meeting, we got together for a minute, 01:24:02.470 --> 01:24:05.974 and her first question to me was, tell me about your mission, 01:24:06.641 --> 01:24:09.344 and I just knew that performance plus purpose, 01:24:09.344 --> 01:24:11.980 which is how we think about it, is ingrained in Deloitte. 01:24:11.980 --> 01:24:14.616 So, I just knew there was this cultural alignment and that would be 01:24:14.616 --> 01:24:18.720 the thing that she cared the most to understand initially. 01:24:18.853 --> 01:24:21.089 Yes, it's so important when you have the intersection of both, 01:24:21.089 --> 01:24:24.092 you have the ability to change the world, which we can do together. 01:24:24.325 --> 01:24:27.328 So, let's dig in a little bit into the data itself. 01:24:27.328 --> 01:24:32.967 So, hundredx gives this more detailed real-time picture of consumer sentiment. 01:24:33.201 --> 01:24:35.637 So, tell us about that novel approach 01:24:35.637 --> 01:24:39.240 and how it really builds when it's connected with Deloitte data? 01:24:39.441 --> 01:24:41.476 Yeah. So, let's start with the building blocks, 01:24:41.476 --> 01:24:45.380 and we had to really engineer an entire new ecosystem from 01:24:45.647 --> 01:24:48.550 how do you source the data to how do you interpret it, right. 01:24:48.550 --> 01:24:53.521 So, as I said, there's survey fatigue, there's the loud voices on social media, etc. 01:24:53.521 --> 01:24:56.491 So, the first question is how do you get the panel, right? 01:24:56.491 --> 01:25:00.595 And so, that's where we hit on the notion every non-profit needs money 01:25:01.129 --> 01:25:03.531 and they also have passionate supporters. 01:25:03.531 --> 01:25:07.435 So, we raised about $100 million to be able to fund a first of its kind 01:25:07.435 --> 01:25:10.138 kind of fund-raiser, where we're providing the funding, 01:25:10.238 --> 01:25:13.875 where the non-profits say, hey, supporters, will you just sign on to this, 01:25:13.875 --> 01:25:16.878 participate, and hundredx will be providing you money 01:25:16.945 --> 01:25:19.714 for every piece of feedback you provide. 01:25:19.714 --> 01:25:23.751 We get sometimes 90% participation, which is unheard of, right, 01:25:24.052 --> 01:25:27.088 and the really cool thing is our entire cost of goods sold goes to charity. 01:25:27.355 --> 01:25:29.924 So, that's the first thing is how do we get people? 01:25:29.924 --> 01:25:33.462 The second thing we concluded is we had to stop surveying 01:25:33.462 --> 01:25:36.564 and start listening to them. So, what does that mean? 01:25:36.564 --> 01:25:38.299 It means that they pick the brands. 01:25:38.299 --> 01:25:44.839 We have 4500, probably going to tens of thousands of alternatives, 01:25:44.839 --> 01:25:47.742 and they say here are the brands that matter to us, 01:25:47.742 --> 01:25:51.377 and then when they pick a brand, a restaurant or whatever, 01:25:51.377 --> 01:25:54.415 they say, here's what I care about; here's what I don't care about; 01:25:54.415 --> 01:25:57.318 and importantly, am I going to use it more or less in the future? 01:25:57.318 --> 01:26:01.589 So, everything we've done is designed about how humans listen and then...go ahead. 01:26:01.623 --> 01:26:02.824 You know, and I do think that 01:26:02.824 --> 01:26:05.860 this is the most important point because when I learned about hundredx, 01:26:06.227 --> 01:26:09.898 this was the point that I thought was most important 01:26:09.898 --> 01:26:13.368 is that you walk into a brand, you leave, they may survey you. 01:26:13.601 --> 01:26:17.605 This is a situation where you're actually collecting data because they're choosing 01:26:17.605 --> 01:26:21.376 to provide it, not just on that brand, but on the competitor set 01:26:21.376 --> 01:26:23.511 and that makes it so much different. 01:26:23.511 --> 01:26:24.846 Yes, because ultimately 01:26:24.846 --> 01:26:27.849 the customer chooses amongst alternatives, not just yourself. 01:26:27.849 --> 01:26:32.720 And then the last point, which was part of your question, is you see it here. 01:26:32.720 --> 01:26:36.624 We've connected it with your help to future financial performance. 01:26:36.624 --> 01:26:38.326 So, these are what's called our GOScores, 01:26:38.326 --> 01:26:41.464 which simply stands for growth outlook. 01:26:41.464 --> 01:26:45.300 High GOScore companies have faster growth. 01:26:45.300 --> 01:26:48.870 They perform better in the market versus low GOScore companies. 01:26:48.870 --> 01:26:50.872 And so, it's not squishy. 01:26:50.872 --> 01:26:54.375 It really matters in terms of the scorecard of business. 01:26:54.375 --> 01:26:57.712 So, we're taking your data set, your IP, 01:26:57.712 --> 01:27:01.182 your ability to understand the granularity combined with this, 01:27:01.182 --> 01:27:05.487 and it's really a transformational alliance. 01:27:05.487 --> 01:27:08.356 Agreed. Okay. So, can you share a real-life 01:27:08.356 --> 01:27:12.060 example of where a client used the data and it changed 01:27:12.060 --> 01:27:13.528 a decision that they made? 01:27:13.528 --> 01:27:16.464 Yeah. So, let's take what Jim was talking about, 01:27:16.464 --> 01:27:20.034 which is the MVP, which is a Deloitte framework 01:27:20.301 --> 01:27:22.237 that when we heard it, we were like brilliant. 01:27:22.237 --> 01:27:25.639 It came out of your value-seeking consumer group, right. 01:27:25.639 --> 01:27:28.008 It's does a brand provide more value 01:27:28.008 --> 01:27:31.446 for the price or less value for the price, right. 01:27:31.446 --> 01:27:36.050 And so, what we do is we've worked with you all to analyze 01:27:36.351 --> 01:27:39.320 how would you take our data on feedback on price 01:27:39.320 --> 01:27:42.590 value non-price factors and determine that, 01:27:42.590 --> 01:27:45.159 and you've done a lot of analysis around that 01:27:45.159 --> 01:27:48.429 and determined as we thought that MVP companies, 01:27:48.863 --> 01:27:52.567 they grow faster, they gain market share, etc. 01:27:52.700 --> 01:27:53.968 but importantly, 01:27:53.968 --> 01:27:57.372 so, yes, they spend, they attract customers. 01:27:57.372 --> 01:28:00.041 This is you have 5 million households. 01:28:00.041 --> 01:28:01.809 So, you can monitor this stuff, right. 01:28:01.809 --> 01:28:06.814 So, you can go into a meeting and say, this isn't theory, this is the real world, 01:28:06.814 --> 01:28:10.918 and then ultimately, they trade at a massive premium in the market. 01:28:10.918 --> 01:28:13.588 So, this is how you help your clients create value. 01:28:13.588 --> 01:28:18.660 So, that's just an example of being able to together prove that why this matters. 01:28:18.860 --> 01:28:23.598 And then in terms of a specific client, we are together working on a client 01:28:23.765 --> 01:28:27.502 who actually went from an MVP position 01:28:27.502 --> 01:28:30.805 and what you're seeing here is their value favorability 01:28:31.139 --> 01:28:34.242 exceeded what we would have predicted based on price 01:28:34.242 --> 01:28:37.879 because price and value aren't the same thing in 2022, 01:28:38.112 --> 01:28:41.182 and now, they're unfortunately below the line. 01:28:41.182 --> 01:28:42.950 And so, now Deloitte is working, 01:28:42.950 --> 01:28:46.888 the entire leadership team is adopting this, and Deloitte is working 01:28:46.888 --> 01:28:48.890 with them to get them back up, 01:28:48.890 --> 01:28:52.293 and we know the drivers, you know, what is causing this. 01:28:52.560 --> 01:28:56.564 And it's very easy for boards to say, are we an MVP company, are we an LVP. 01:28:56.564 --> 01:28:59.634 So, we think this is really a breakout opportunity 01:28:59.634 --> 01:29:02.837 in terms of customer centricity in the entire business world. 01:29:03.071 --> 01:29:04.372 It's amazing, 01:29:04.372 --> 01:29:07.742 understanding the performance and then being able to then change it. 01:29:07.942 --> 01:29:09.610 Alright. Last question for you, Rob. 01:29:09.610 --> 01:29:13.847 So, maybe share with us what continuous innovation looks like 01:29:13.847 --> 01:29:16.784 for both of our companies over the course of the next few years? 01:29:16.984 --> 01:29:18.820 Yeah. So, this is our dream, 01:29:18.820 --> 01:29:21.756 and I've been talking about outcomes for decades. 01:29:21.756 --> 01:29:25.560 So, that the scorecard of business, how companies get 01:29:25.560 --> 01:29:29.330 evaluated is do they provide superior outcomes to their customers? 01:29:29.964 --> 01:29:31.966 That's a really good system, right. 01:29:31.966 --> 01:29:34.369 That's a better free markets system. 01:29:34.369 --> 01:29:37.972 That's a better thing for organizations too. So, that we're the leaders 01:29:38.239 --> 01:29:43.578 in bringing that to how companies maximize it, how they're evaluated, etc. 01:29:43.578 --> 01:29:48.149 And then with our model, every day, we give away money to non-profits. 01:29:48.149 --> 01:29:52.854 So, our goal is to give away $500,000 every day to non-profits. 01:29:52.854 --> 01:29:55.390 So, that would be $182 million a year, 01:29:55.390 --> 01:29:58.493 and I think that only happens through our coventure. 01:29:58.659 --> 01:30:01.829 I agree. So, powerful. Thank you so much. 01:30:02.029 --> 01:30:04.999 I'm so excited, one, about our venture together; 01:30:04.999 --> 01:30:08.636 two, what we'll be able to do with our other alliances. 01:30:08.636 --> 01:30:13.641 You started here, but relationships based on trust only grow stronger. 01:30:13.641 --> 01:30:18.980 And thank you for being the example of trust, of co-innovation, of co-creation, 01:30:18.980 --> 01:30:21.949 and our first Deloitte venture shining example together. 01:30:21.949 --> 01:30:23.985 So, thank you so much. I appreciate it. 01:30:23.985 --> 01:30:25.485 Well, thank you. 01:30:31.192 --> 01:30:36.229 Okay. That brings us to the final chapter of the How We Get It Done section, 01:30:36.229 --> 01:30:38.032 which is emerging tech near and dear to my heart. 01:30:38.399 --> 01:30:39.367 We all feel it. 01:30:39.367 --> 01:30:42.103 The future is coming faster than ever, and convergence 01:30:42.103 --> 01:30:44.639 isn't just between industries like we've been talking a lot about, 01:30:44.639 --> 01:30:48.443 it's happening across technology domains and even fields of science. 01:30:48.976 --> 01:30:50.778 So, every company is a technology company. 01:30:50.778 --> 01:30:53.915 Technology is the heart of every government mission, 01:30:54.315 --> 01:30:56.083 and we're all staring at this continuum. 01:30:56.083 --> 01:30:59.220 On one end is the hero's journey, this unprecedented opportunity 01:30:59.220 --> 01:31:02.223 for innovation and growth, which is the theme of the day, 01:31:02.256 --> 01:31:05.059 and the other end is this existential threat to disruption, 01:31:05.059 --> 01:31:08.062 and behind it is this question of how do we make sense of it all, 01:31:08.529 --> 01:31:11.232 and how do we confidently get to the so what, 01:31:11.232 --> 01:31:14.168 so we can get to the now what, which is what really matters? 01:31:14.168 --> 01:31:17.038 And when you're dealing with emerging tech, you have to move 01:31:17.038 --> 01:31:20.274 beyond the press releases and the market texture. 01:31:20.575 --> 01:31:22.343 You have to invest deeply. 01:31:22.343 --> 01:31:24.412 You have to think systemically. 01:31:24.412 --> 01:31:27.049 You can't let any individual tech be the hero of the story, 01:31:27.049 --> 01:31:29.250 even as powerful as AI is right now, 01:31:29.250 --> 01:31:32.587 and we have to move beyond proofs of concepts and perpetual pilots. 01:31:33.087 --> 01:31:35.957 And that's why, we're making deep investments 01:31:35.957 --> 01:31:38.960 that cut across industry and blurring traditional boundaries. 01:31:39.527 --> 01:31:42.964 So, in an increasingly converging world, the most promising futures 01:31:43.297 --> 01:31:47.602 emerge from this intersection done very intentionally of technology 01:31:47.835 --> 01:31:52.640 and industry, digital and physical and beyond just AI, computer science, 01:31:52.640 --> 01:31:56.310 computer engineering into adjacent sciences and hard technologies, 01:31:56.844 --> 01:31:58.579 because these are where 01:31:58.579 --> 01:32:01.082 most of the spend is going to come and most of the growth is going to come. 01:32:01.082 --> 01:32:03.084 This is the heart of industry futures. 01:32:03.084 --> 01:32:05.920 So, today we're going to highlight three areas where Deloitte is 01:32:05.920 --> 01:32:10.157 doing exactly that: physical robotics, quantum, and space. 01:32:10.691 --> 01:32:13.694 These aren't just research projects in eminence, 01:32:13.794 --> 01:32:17.731 we have real businesses we're building, real client impact we're delivering, 01:32:17.731 --> 01:32:21.469 and incredible industry growth we're making and shaping, 01:32:21.469 --> 01:32:23.804 but more than that, these represent something fundamental 01:32:23.804 --> 01:32:25.873 about how we approach innovation at Deloitte 01:32:25.873 --> 01:32:28.309 and I hope you've seen that all day today. 01:32:28.309 --> 01:32:31.312 We don't just study and admire emerging tech, 01:32:31.312 --> 01:32:33.014 we certainly don't do tech for tech's sake, 01:32:33.014 --> 01:32:36.350 we bring all of our expertise with them, we build with them, 01:32:36.350 --> 01:32:39.987 we bring that to market in ways that solve real problems for real clients 01:32:40.388 --> 01:32:42.757 because when you're operating at the edge of innovation, 01:32:42.757 --> 01:32:46.161 you can't just be observers, you have to be builders. 01:32:46.761 --> 01:32:48.829 So, we're going to speed date. 01:32:48.829 --> 01:32:52.300 Topic one, physical robotics, where hardware meets software. 01:32:52.700 --> 01:32:56.871 So, we're witnessing this fundamental shift, AI that can understand, 01:32:56.871 --> 01:33:00.075 that can simulate, that can integrate into the physical world, 01:33:00.775 --> 01:33:04.712 making real-time decisions and taking action in the environment surroundings, 01:33:05.046 --> 01:33:07.548 and at Deloitte, we've been at the forefront of this movement. 01:33:07.548 --> 01:33:10.951 We were the first to deploy quadruped robots to several facilities around 01:33:10.951 --> 01:33:14.889 the globe, delivering tools, spare parts, doing quality and safety inspections. 01:33:15.256 --> 01:33:19.560 And so, teasers before, I'm thrilled to announce that our first humanoid robot 01:33:19.994 --> 01:33:24.065 has officially arrived in Wichita at The Smart Factory. It's being deployed 01:33:24.065 --> 01:33:27.668 as I speak, and we're doing other work with one of the largest pharmaceutical 01:33:27.868 --> 01:33:31.505 companies in the Midwest testing a humanoid robot on their factory floor, 01:33:32.073 --> 01:33:35.977 and this breakthrough is both the training of these systems in virtual environments 01:33:36.143 --> 01:33:38.279 and building the corpus of data to do that confidently 01:33:38.279 --> 01:33:42.249 and then deploying them in the real world to get the results faster. 01:33:43.217 --> 01:33:44.151 These are some of the first 01:33:44.151 --> 01:33:48.289 commercial deployments of humanoid robots in the US outside 01:33:48.723 --> 01:33:51.359 experimental labs, which is pretty phenomenal. 01:33:51.359 --> 01:33:54.362 So, AI is there that unlocks different modalities. 01:33:54.695 --> 01:33:55.863 It's not just humanoid. 01:33:55.863 --> 01:33:58.032 So, I like this view of different form factors 01:33:58.032 --> 01:34:01.168 we've been working with. Kathleen covered drones earlier. 01:34:01.235 --> 01:34:04.171 Here's a great client story that also involves drones. 01:34:04.171 --> 01:34:07.942 Exelon was looking to deliver faster, safer, and more 01:34:07.942 --> 01:34:10.911 accurate grid assets inspections using drones and vision AI. 01:34:11.712 --> 01:34:14.682 Together, we developed and deployed an autonomous drone solution. 01:34:14.682 --> 01:34:17.752 These drones can recognize assets, detect defects, 01:34:17.752 --> 01:34:20.721 and make informed recommendations to field crews on repairs. 01:34:20.855 --> 01:34:23.858 We're talking about keeping energy and utilities up and running. 01:34:23.924 --> 01:34:26.927 They can prioritize and fix issues immediately from reports 01:34:26.961 --> 01:34:29.964 that otherwise would have taken weeks to compile. 01:34:30.364 --> 01:34:32.734 It's pretty amazing stuff, and more is coming. 01:34:33.234 --> 01:34:36.603 The global robotics market is huge. It's expected to be 01:34:36.603 --> 01:34:42.176 392 billion by 2033. These systems not just automate tasks, 01:34:42.176 --> 01:34:44.945 they collaborate, they adapt, and they operate 01:34:44.945 --> 01:34:48.849 in the unpredictable environment that is the real world, 01:34:49.550 --> 01:34:53.487 and we're moving from a world where robots have to be preprogrammed pretty rigidly, 01:34:53.788 --> 01:34:58.359 to one where they can actually perceive and reason and act autonomously, 01:34:58.592 --> 01:35:00.861 and that's what's so exciting about this moment 01:35:00.861 --> 01:35:03.998 because when you combine advanced AI with robotic systems, you get machines 01:35:03.998 --> 01:35:07.268 that can understand natural language, adapt to new situations, 01:35:07.501 --> 01:35:09.904 and make intelligent decisions in real time, 01:35:09.904 --> 01:35:12.273 and the applications span every industry: 01:35:12.273 --> 01:35:16.477 construction, robots building faster and safer; surgical robots, 01:35:16.477 --> 01:35:20.748 with superhuman precision, revolutionizing our health care system; 01:35:20.848 --> 01:35:23.651 warehouse systems that orchestrate logistics autonomously; 01:35:23.651 --> 01:35:27.555 security robots that can provide 24/7 protection with night vision 01:35:27.822 --> 01:35:31.057 and infrared, but the real transformation is 01:35:31.057 --> 01:35:33.861 how these technologies augment human capabilities. 01:35:34.128 --> 01:35:36.163 I love this hook into what Kelly covered earlier 01:35:36.163 --> 01:35:39.066 because the future of our workforce is going to look fundamentally different. 01:35:39.066 --> 01:35:42.803 It's physical AI skills. We're creating it, we're deploying it, 01:35:42.803 --> 01:35:45.473 we're proving it's value today, and we're helping define 01:35:45.473 --> 01:35:48.943 what it looks like to think about the human and machine 01:35:49.310 --> 01:35:52.279 and how we have culture and community that grow together. 01:35:52.580 --> 01:35:56.183 So, if you want to see what tomorrow looks like because with physical AI, 01:35:56.250 --> 01:35:59.186 you can't just admire and imagine the future, you have to see it in action, 01:35:59.186 --> 01:36:02.523 come down to The Smart Factory @ Wichita and you can see it in place. 01:36:02.523 --> 01:36:05.760 Okay, thing one. Thing two is quantum. 01:36:05.760 --> 01:36:08.763 This is one of the most transformative technology frontiers 01:36:09.096 --> 01:36:12.600 in the world, and it's reshaping how we can solve 01:36:13.067 --> 01:36:15.870 not just our client's, but the world's most complex problems, 01:36:15.870 --> 01:36:17.805 and we're seeing real breakthroughs 01:36:17.805 --> 01:36:20.674 and the timeline for quantum advantage is accelerating. 01:36:20.674 --> 01:36:23.744 So, quantum represents this giant leap from today's classic computing. 01:36:24.078 --> 01:36:26.113 Here's one example, Google's Willow chip. 01:36:26.113 --> 01:36:30.484 It can perform a computation in under five minutes that today's fastest 01:36:30.484 --> 01:36:34.155 supercomputers would take approximately 10 septillion years, 01:36:34.522 --> 01:36:37.658 and anyone counting, it's 25 zeros. 01:36:38.092 --> 01:36:40.661 That's older than the age of the universe, 01:36:40.661 --> 01:36:42.630 which is pretty amazing. 01:36:42.630 --> 01:36:45.466 but it's not going to replace our traditional cloud 01:36:45.466 --> 01:36:47.034 workloads and AI chipsets. 01:36:47.034 --> 01:36:50.871 It's a complimentary new capability that makes previously unsolvable problems 01:36:51.105 --> 01:36:55.110 become solvable and it's the shift. Everything in computer science, 01:36:55.110 --> 01:36:57.845 we've harnessed math. Suddenly, we can harness physics 01:36:57.845 --> 01:37:01.282 to tackle brand new problems we couldn't imagine before. 01:37:01.816 --> 01:37:05.953 I'm an aspiring golfer. It's adding a new club to our bag. 01:37:05.953 --> 01:37:08.556 It doesn't make our existing equipment obsolete, 01:37:08.556 --> 01:37:10.624 which is what makes this really, really exciting. 01:37:10.624 --> 01:37:13.627 Five years ago, Deloitte, we didn't just study quantum, 01:37:13.627 --> 01:37:15.029 we built a business around it. 01:37:15.529 --> 01:37:17.564 While others waited, we recognized this is going to be 01:37:17.564 --> 01:37:19.967 a defining technology of the 2020s and beyond. 01:37:20.167 --> 01:37:24.772 We're working with global Fortune 50 companies and the major tech players. 01:37:24.772 --> 01:37:27.341 They've been investing and we've been there right with them 01:37:27.341 --> 01:37:30.578 helping develop quantum road maps, realizing targeted pilots, 01:37:30.845 --> 01:37:34.114 accelerating capabilities and optimization, machine learning, and simulation. 01:37:34.381 --> 01:37:37.651 There's a lot of quantum-inspired progress we're making today as we get ready 01:37:37.885 --> 01:37:40.821 for more and more to come. So, let's give some concrete examples. 01:37:40.821 --> 01:37:44.458 For an insurance company, we developed a strategic quantum road map, 01:37:44.792 --> 01:37:48.529 positioning them to capture all of the potential use cases 01:37:48.529 --> 01:37:52.533 and more importantly, get ready for what they need skill set wise, platform wise 01:37:52.933 --> 01:37:56.737 in the world to come; for a multinational financial institution, 01:37:56.737 --> 01:37:59.740 we combined quantum algorithms with advanced optimization, 01:38:00.107 --> 01:38:04.378 reconciling twice as many transactions while cutting processing time by 50%; 01:38:05.546 --> 01:38:07.848 and for a defense agency, we implemented quantum machine 01:38:07.848 --> 01:38:09.984 learning to predict supplier risk, 01:38:09.984 --> 01:38:12.987 safeguarding critical supply chains, strengthening mission readiness, 01:38:13.354 --> 01:38:15.322 and this is the one that makes me the most proud. 01:38:15.322 --> 01:38:20.661 In the fall this year, our quantum team won NASA's Beyond the Algorithm Challenge, 01:38:21.061 --> 01:38:22.829 delivering faster, more accurate predictions for 01:38:22.829 --> 01:38:25.900 disaster response and planetary exploration. 01:38:25.900 --> 01:38:29.870 How about that? Deloitte wins the NASA Quantum Challenge. 01:38:30.437 --> 01:38:33.274 Yeah, so through these efforts, we've learned 01:38:33.274 --> 01:38:35.409 quantum is a technology you can't tackle alone. 01:38:35.409 --> 01:38:38.913 We built a huge network, quantum partnerships from hardware manufacturers; 01:38:38.913 --> 01:38:42.950 the leading software players; academic institutions; our technical research; 01:38:43.284 --> 01:38:47.755 our depth of execution; and frankly, our posturing at beyond the hyperbole 01:38:47.955 --> 01:38:50.658 has made us one of the leading players in quantum and 01:38:50.658 --> 01:38:53.961 is exemplified through our formal alliance with QuEra Computing, 01:38:54.094 --> 01:38:56.163 one of the leaders in neural atom 01:38:56.163 --> 01:38:59.233 quantum computers that just got announced a few weeks ago. 01:38:59.833 --> 01:39:03.203 So, together, we're enabling clients prototype-to-production pathways 01:39:03.470 --> 01:39:06.440 through architecture systems integration, strategy, talent development, 01:39:07.040 --> 01:39:09.643 and it's really important because there's one other dimension 01:39:09.643 --> 01:39:13.280 that makes quantum such a timely topic for our clients, 01:39:13.647 --> 01:39:15.683 and it's the underpinnings of encryption. 01:39:15.683 --> 01:39:18.919 Everything about cyber today is one of those problems that quantum 01:39:19.153 --> 01:39:21.422 is uniquely qualified to solve. 01:39:21.922 --> 01:39:25.225 So, you see the range that might seem wide, but think about this is everything, 01:39:25.225 --> 01:39:27.993 all of our customer information, all of our private transactional data, 01:39:27.993 --> 01:39:30.464 all of our government secrets potentially at risk 01:39:30.764 --> 01:39:34.134 once a quantum computer can break today's encryption schemes, 01:39:35.002 --> 01:39:37.972 but the good news is we've been working hard, 01:39:38.072 --> 01:39:41.608 because these estimates are conservative and we know that the advances 01:39:41.608 --> 01:39:43.711 in the technology are only going to make them advance, 01:39:43.711 --> 01:39:45.379 but we've been collaborating globally 01:39:45.379 --> 01:39:47.915 with leading institutions like the World Economic Forum. 01:39:47.915 --> 01:39:50.551 We're helping them shape the quantum security frameworks 01:39:50.551 --> 01:39:53.520 for the financial sector and informing the global regulatory 01:39:53.520 --> 01:39:56.523 approaches of how to respond to this moment. 01:39:56.957 --> 01:39:59.626 2025 is being called one of the last chances for us 01:39:59.626 --> 01:40:02.629 to migrate to this post-quantum cryptography. 01:40:02.730 --> 01:40:04.698 The UN calls it the year of quantum. 01:40:04.698 --> 01:40:08.966 We like to call it a Y2Q because the race is on. 01:40:09.666 --> 01:40:11.338 Quantum computing is going to grow 01:40:11.338 --> 01:40:14.875 from hundreds of millions today to potentially 50 billion by 2030, 01:40:15.175 --> 01:40:18.178 but the real thing, again, back to Deloitte, why do we care? 01:40:18.178 --> 01:40:21.682 Because what it unlocks. It's going to give us a way to develop new materials 01:40:21.682 --> 01:40:24.685 for batteries that revolutionize energy storage; drug discovery, 01:40:24.685 --> 01:40:27.556 they can identify treatments for rare diseases in months 01:40:27.556 --> 01:40:30.124 instead of decades; cities that could test 01:40:30.124 --> 01:40:33.028 thousands of layout designs in seconds to optimize traffic 01:40:33.028 --> 01:40:36.798 and green space and the quality of life; and supply chain optimization 01:40:36.798 --> 01:40:40.601 that can reduce global carbon emissions period. 01:40:40.601 --> 01:40:44.638 So, more than that, we're only beginning to dream up what it could mean next. 01:40:44.838 --> 01:40:46.473 Those are just the obvious ones today. 01:40:46.473 --> 01:40:49.343 This is the future, this is what we're building today, 01:40:49.343 --> 01:40:53.480 not in theoretical labs, but real engagements with real clients 01:40:53.781 --> 01:40:57.551 solving real problems because the quantum revolution isn't coming, 01:40:58.285 --> 01:41:05.059 it's here. Okay, think three, and maybe this is one you didn't see coming, 01:41:05.059 --> 01:41:08.062 but we teased it in the opening video is space. 01:41:08.429 --> 01:41:12.433 So, space isn't just the final frontier, it's the next business frontier. 01:41:12.933 --> 01:41:15.936 It has more to do with your business than you might think. 01:41:15.936 --> 01:41:18.939 We're living in this moment where the space economy is exploding 01:41:19.073 --> 01:41:24.211 from 630 billion today to 1.8 trillion projected by 2035. 01:41:24.778 --> 01:41:27.281 At the same time, we're seeing launch costs drop 01:41:27.281 --> 01:41:30.284 nearly 98% in the last few decades. 01:41:30.451 --> 01:41:31.085 What does it mean? 01:41:31.085 --> 01:41:34.121 It means space is more accessible than ever. 01:41:34.788 --> 01:41:37.324 It's the invisible infrastructure that powers everything, 01:41:37.324 --> 01:41:39.126 from the directions on your morning 01:41:39.126 --> 01:41:42.229 commute to the global supply chains that put food on your table. 01:41:42.830 --> 01:41:45.599 By 2032, space-based systems are going to generate 01:41:45.599 --> 01:41:49.770 230 petabytes of data daily. That's the tech foundation 01:41:49.770 --> 01:41:53.240 that's going to reshape industries from health care to financial services. 01:41:54.041 --> 01:41:56.743 And I'm particularly proud of what we're going to share next. 01:41:56.743 --> 01:41:59.313 This was the teaser in the opening video. 01:41:59.313 --> 01:42:02.316 Orbiting Earth right now is Deloitte One. 01:42:02.749 --> 01:42:05.886 We have a satellite in orbit 01:42:06.487 --> 01:42:09.090 that's equipped with cybersecurity capabilities that can protect 01:42:09.090 --> 01:42:13.260 the space-based services that are critical to life on Earth. 01:42:14.027 --> 01:42:15.000 Think it out everyone. 01:42:15.096 --> 01:42:19.700 GPS systems alone, 1.4 trillion of economic impact annually. 01:42:20.134 --> 01:42:24.805 The cybersecurity of space's infrastructure isn't just important, it's essential. 01:42:25.339 --> 01:42:29.977 and our satellite is testing on-orbit and in-orbit intrusion detection systems 01:42:30.277 --> 01:42:33.447 and ways to secure the infrastructure that can keep our economy running. 01:42:34.414 --> 01:42:38.152 We're pioneering relationships with private space station providers; 01:42:38.352 --> 01:42:40.821 we're exploring how microgravity can revolutionize stem 01:42:40.821 --> 01:42:43.357 cell therapies and protein crystal manufacturing; 01:42:43.357 --> 01:42:46.460 and we're co-developing workshops to unlock enterprise applications 01:42:46.660 --> 01:42:50.331 for in-orbit research, drug discovery, stability testing, 01:42:50.331 --> 01:42:53.533 biofabrication because it turns out gravity is big 01:42:53.533 --> 01:42:56.270 on those things, and we're trying to get above it and beyond it. 01:42:56.703 --> 01:43:00.340 Imagine clinical trials in space or manufacturing pharmaceuticals 01:43:00.340 --> 01:43:03.143 impossible to create on Earth. 01:43:03.143 --> 01:43:07.748 So, from NASA to non-profits, agriculture, and financial services, we're working 01:43:07.748 --> 01:43:12.452 to bring the boundless potential of space to clients across industries, 01:43:12.753 --> 01:43:16.123 making a technology of the future, a technology of today 01:43:16.690 --> 01:43:19.693 because this isn't science fiction, it's business reality 01:43:20.093 --> 01:43:22.563 and companies are making real decisions right now about 01:43:22.563 --> 01:43:25.699 space-based capabilities because the economics make sense, 01:43:25.699 --> 01:43:27.534 the technology is practical, 01:43:27.534 --> 01:43:32.105 especially with reduced launch cost, miniaturized satellites, AI processing 01:43:32.105 --> 01:43:35.108 powering the data, opportunities that didn't exist just a couple years ago. 01:43:35.375 --> 01:43:38.378 We're positioning clients to take advantage right now, 01:43:38.579 --> 01:43:41.582 not when competitors have it figured out or get around to it. 01:43:41.748 --> 01:43:44.018 Space technology isn't about looking up, 01:43:44.518 --> 01:43:49.122 it's about solving problems on Earth in ways we could never do before, 01:43:49.423 --> 01:43:55.562 and Deloitte is leading the charge. Alright. Yeah. 01:44:01.268 --> 01:44:05.071 Well, I got to tell you this has been, like, 01:44:05.071 --> 01:44:08.041 the most exciting last two hours, as I think about 01:44:08.442 --> 01:44:12.079 all of the things that you just heard that we have launched, 01:44:12.412 --> 01:44:15.016 the actual outcomes, and the value that's being achieved 01:44:15.016 --> 01:44:17.951 from our clients today, and I want to reemphasize 01:44:17.951 --> 01:44:21.688 something that Bill said, you know, Amit, you mentioned this is all real. 01:44:21.989 --> 01:44:26.059 This is all ready. It's available real outcomes. 01:44:26.059 --> 01:44:29.329 You know, Kulleni talked about up to a billion in savings 01:44:29.596 --> 01:44:32.332 when it comes to a health care organization. 01:44:32.332 --> 01:44:35.435 You know, Brett talked about what this means in insurance space. 01:44:35.435 --> 01:44:37.404 We have an organization that's seeing 01:44:37.404 --> 01:44:40.274 a 40% reduction in the insurance claim call volumes. 01:44:41.275 --> 01:44:44.878 This is a really exciting moment, and I definitely want to take opportunity 01:44:44.878 --> 01:44:48.415 as well to say a huge thank you to our clients that have allowed us 01:44:48.415 --> 01:44:52.219 to partner with them on all of this and really put their trust in us. 01:44:52.753 --> 01:44:54.121 So, I'm excited about the future. 01:44:54.121 --> 01:44:57.858 Do you want to maybe, Amit, talk a minute about what's to come? 01:44:58.959 --> 01:45:01.896 Absolutely. So, first of all, I get goosebumps every time 01:45:01.896 --> 01:45:05.932 I see that satellite video. So, it's just so cool to to see it. 01:45:05.932 --> 01:45:11.807 So, as we've been talking and as Kelly said, 01:45:11.807 --> 01:45:16.543 everything that you saw today is real. We talked about Zora AI agents, 01:45:16.543 --> 01:45:18.979 we talked all the Converge industrial solutions. 01:45:18.979 --> 01:45:21.982 Everything is actually built using our Ascend platform, 01:45:22.482 --> 01:45:24.685 all enabled by our alliance partners 01:45:24.685 --> 01:45:27.854 and, most importantly, available and deployed in the market today. 01:45:28.188 --> 01:45:31.623 So, not some future ambition, Deloitte-led innovation 01:45:31.623 --> 01:45:34.161 is what is delivering value for our clients now. 01:45:34.861 --> 01:45:40.367 So, let's talk about this and bring it all together in three parts. 01:45:40.867 --> 01:45:44.372 So, first and foremost, the reason a lot of this is coming together is 01:45:44.372 --> 01:45:48.742 we have built an unmatched engineering foundation that makes this all possible, 01:45:49.009 --> 01:45:52.012 and as an engineer myself, engineering somewhere I'm wearing, 01:45:52.279 --> 01:45:57.784 it's really close to my heart. Ascend isn't a concept, 01:45:57.784 --> 01:46:01.388 it's a platform that our teams are using every day to deliver for our clients, 01:46:01.855 --> 01:46:05.060 and it's the same foundation every product you see today is built on, 01:46:05.560 --> 01:46:09.529 the same platform to deliver work to our clients and for products. 01:46:10.097 --> 01:46:13.367 Secondly, what we saw today, our solutions are enterprise grade, 01:46:13.734 --> 01:46:16.503 battle tested, and secured at scale. 01:46:16.503 --> 01:46:18.340 So, we're not just making promises that we can run 01:46:18.340 --> 01:46:21.008 your business on our platforms and our products. 01:46:21.508 --> 01:46:27.180 They are ready at that scale. Next point, we bring proof. 01:46:27.180 --> 01:46:30.350 Converge solutions are live in over 30 countries, 01:46:30.784 --> 01:46:34.321 and for those of you who've been in this business to go from one to two 01:46:34.321 --> 01:46:38.458 to three countries, the complexities to navigate are tremendous. 01:46:38.458 --> 01:46:42.295 To go to 30 and to manage those regulatory environments 01:46:42.295 --> 01:46:45.298 and implications around everything that has to come together, 01:46:45.465 --> 01:46:47.968 those are the muscles that we built, 01:46:47.968 --> 01:46:52.005 12 years of investment, over a billion, with a B, dollars 01:46:52.005 --> 01:46:55.008 deployed, real clients, real results. 01:46:56.143 --> 01:46:58.378 Zora, Ranjit talked about that, 01:46:58.378 --> 01:47:00.747 it's already transforming how work gets done. 01:47:00.747 --> 01:47:02.182 It's happening inside our four walls 01:47:02.182 --> 01:47:05.185 with our finance team and also with clients like HPE. 01:47:06.553 --> 01:47:09.556 Lastly, and this is a really, really important topic right now, 01:47:09.890 --> 01:47:12.993 we believe we actually have cracked the business model problem. 01:47:13.760 --> 01:47:17.597 The reality is you're not looking to buy hours 01:47:17.597 --> 01:47:21.334 or other measures or proxies for value. 01:47:21.802 --> 01:47:24.771 What you're looking for is buy outcomes, 01:47:24.771 --> 01:47:27.474 predictable results, not variable rates. 01:47:27.474 --> 01:47:30.710 So, we have built our platforms and products to deliver 01:47:30.710 --> 01:47:34.815 exactly that: consistency, scale, and outcomes that you can count on. 01:47:36.016 --> 01:47:40.121 So, amazing sessions today. Here's what comes next. 01:47:41.121 --> 01:47:44.790 Visit deloitte.com/forward, explore these solutions, 01:47:44.790 --> 01:47:46.827 everything you're seeing today, watch the demos, 01:47:46.827 --> 01:47:49.231 see real examples of how our clients are achieving results. 01:47:49.931 --> 01:47:54.201 Over the next 90 days, join us at our Innovation Studios in New York, 01:47:54.201 --> 01:47:57.204 San Francisco, Chicago, Wichita, Hyderabad, Bangalore, 01:47:57.604 --> 01:48:00.173 hands-on workshops, real platforms. 01:48:00.173 --> 01:48:02.943 Bring us your challenges, we'll bring our solutions 01:48:02.943 --> 01:48:06.246 and let's go do something, let's go build something. 01:48:06.246 --> 01:48:09.149 The future isn't something that we're all waiting to go build, 01:48:09.149 --> 01:48:11.452 it's here now. Let's go build it together. 01:48:12.452 --> 01:48:14.954 Well, Amit, I got to say 01:48:14.954 --> 01:48:19.391 this is a very exciting and energizing first-ever Deloitte Forward 01:48:19.391 --> 01:48:21.995 where we showcased all of our innovations and technologies. 01:48:22.462 --> 01:48:26.132 And so with that, we want to thank everyone for joining us today 01:48:26.132 --> 01:48:29.436 and hope you enjoyed getting out there, undertaking and exploring 01:48:29.436 --> 01:48:31.171 all the innovations on our website. Alright. 01:48:31.171 --> 01:48:31.571 Absolutely. 01:48:31.571 --> 01:48:32.672 Well, thanks Amit. 01:48:32.672 --> 01:48:33.874 Thank you, Kelly. Thank you team. 01:48:33.874 --> 01:48:41.700 (end)