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Deloitte Women in Artificial Intelligence (AI)

Diversity of perspective is critical for effective AI

We are the women in AI—the women who are at the forefront of transformation. We look at challenges from a different angle, drive innovation with impact, and are passionate about AI that champions diversity and fairness. We are the women in AI—but we represent only 26% of data and AI positions in the workforce1. There should be more of us. If you are in AI today, let us help you grow. If not, come and join us.

An introduction from Beena Ammanath and Costi Perricos

Thank you for joining us in broadening awareness of the consequences caused by the underrepresentation of women in AI. There are two important messages that we are attempting to voice through this effort.

First, we are seeing a surging demand for AI talent. However, at least one talent pool that could help businesses achieve their AI ambitions has remained largely untapped—women!

This brings us to the second message. Unlocking the potential of women to close the AI talent gap can also help us fix one of the greatest shortcomings of AI. In order to build an effective AI system—including defining a problem for AI to solve, designing a solution, selecting and preparing the data inputs, and constructing and training the algorithms—an AI team should be as diverse as the populations that its AI will impact.2 A more diverse workforce is better equipped to identify and remove AI biases as it interprets data and test solutions, and makes decisions.

On this page, you will find videos and short profiles that tell you about the exceptional work of women in the field of AI at Deloitte. It has been thrilling to hear of their passions for AI, their journeys into the world of AI, and their views on the role of women in this area. Regardless of how different their paths are, they all share one common belief: Diversity, both in terms of gender and demographics, is especially important in the AI field. Addressing this important concern and inspiring more women to enter the field of AI and to remain in it is one of our central commitments at Deloitte.

I’m particularly passionate about paving the way for AI that is for everyone, regardless of gender, skin color, demographics, or other factors. The core of our success has always come from our people, with the diversity of thought in our team at Deloitte.” – Beena Ammanath, Executive Director, Deloitte Global AI Institute

It’s simple…AI is about humans working with machines. It’s about extending the possibilities of humankind, for humankind. It’s like the right to vote. Why would women have little to no say in electing AI that’s meant to represent them?” – Costi Perricos, Deloitte Global AI & Data Offering Leader

AI in many ways benefits from the diversity of the people who develop and promote it. We invite you to watch the videos and read the profiles below to learn more about the topic and about our women in AI at Deloitte. AI can be for nearly everyone. We hope the stories will spark your enthusiasm, and maybe one day you will be one of the next AI front-runners with us at Deloitte.

Beena Ammanath - Executive Director, Global Deloitte AI Institute

Costi Perricos - Deloitte Global AI & Data Offering Leader

She’s always seeking to evolve

Payal Agarwal started her career as an accountant, and soon after, she began thinking about how to improve the way accounting is done. She discovered her interest in AI a decade ago when she returned from family leave. It was then that she decided to follow her passion and reskill herself to pursue a career in technology, with a mission to transform accounting and risk management.

Since then, she has been on a journey—from accounting, to IT risk assessments, and finally to data analytics—always seeking to improve and to retool herself with the skill set required to stay ahead of the curve. “If you see my career journey, every five to seven years I have moved or reinvented myself and got to know the latest technologies,” Payal says. Today, Payal is a partner at Deloitte India and leads the Risk Analytics practice within Risk Advisory, helping clients solve their problems and supporting them on their transformative journey by leveraging AI and advanced analytics. In particular, she focuses on big data processing by creating ecosystems and environments, through machine-learning models, to provide better risk insights and improve decision-making for clients and communities.

The rapidly changing technology landscape, to which AI is making a central contribution, is what motivates and excites Payal. “I think my favorite part about artificial intelligence is that the era of the fourth industrial revolution will be characterized by acceleration of key megatrends.” She adds that acceleration is enabled through innovation in the physical and digital worlds and fueled by the exponential growth in processing power. The momentum and the opportunity to face new challenges every day is one of the most rewarding aspects of Payal’s daily work: “My favorite part is the constant challenge. You need to be curious enough to understand how technology is transforming on a day-to-day basis, and how that transformation in technology is transforming the business environment of a client. And to be relevant to a client, it’s very important that you unlearn and re-learn on a daily basis.”

Diversity and inclusion are hugely important in the world of AI, Payal believes. She explains: “One of the major concerns worldwide is: Are all the AI applications which are currently being built responsible from the framework perspective? Are they ethical, are they non-biased? And one of the important criteria to create a responsible AI is that gender, among other things, should be equally represented.”

She encourages women to join the AI industry and says it is a great place to start a career. She says three components are beneficial to those starting out: “Firstly, start coding. It’s very important. Coding at a very early stage really helps you to understand. And be curious! Curiosity to understand the data and the required output is very important. Finally, connect the dots: Connect digital resources to the non-digital world, connect problems to new solutions. Help us shape the future with AI.

She’s leading the way to trustworthy AI

If you want to see a vision for what good artificial intelligence can do, ask Beena Ammanath. She has been studying and working with data and AI her entire career, and she sees how this powerful technology can solve tough problems—provided it can be trusted.

“AI can be used to solve some of the biggest challenges humanity is facing today,” she says. “Whether it is tackling climate change, improving human lives, addressing inequity, and solving global health challenges, AI can be an accelerator to bring technology to the masses and solve it at scale.”

Beena is a technologist, as well as an award-winning executive leader. She joined Deloitte in 2019 as the executive director of the Global Deloitte AI Institute. She also leads Deloitte’s work on Trustworthy AI and Ethical Tech. A respected business leader in large enterprises, Beena started her career as a computer scientist.

Today, the power and use of AI is transforming business in almost every sector. The potential is enormous, but Beena cautions that for AI to reach its greatest potential and benefit humanity, it must be worthy of our trust.

“It is something that keeps me up at night,” she says. “I think about the ethical implications—how do you ensure trust in the AI solutions that we're building? AI needs to be safe, transparent, unbiased and have a host of other ethical qualities. There remains much to do in moving AI forward, and we are really only just getting started when it comes to addressing ethics and trust.”

Beena believes the work she is doing with the AI Institute gives her the opportunity to tell a more complete story of AI, and one component is the need to bring greater diversity into the AI ecosystem.

“Women still tend to be the largest minority group that's missing within AI design and development,” says Beena. “We need all perspectives and backgrounds at the table to inform the decisions we make with AI. If we are leaving 50 percent of our intellectual capital out of the AI life cycle, we are depriving our work of vital input that is needed for AI to contribute the most good in the world.”

Fortunately, as Beena says, technology itself can be a vehicle for drawing broader, more diverse participation in the field of AI. It can be used to entice students into fields with a nexus to AI, it can draw brilliant minds from across industry, and it can be a great equalizer in accessing opportunities to making truly world-changing contributions. This is one reason Beena founded Humans for AI, a registered 501(c)(3)b nonprofit dedicated to increasing diversity and inclusion in AI.

What advice does Beena offer to those curious about how they can contribute to AI?

“Be curious and keep learning. AI is an evolving field. There's space—and need—for everyone!”

She helps makes AI inclusive

Kawtar Arahou’s interest in AI began early in university, and her passion for it has been growing ever since. “I began to see that what I imagined as a kid was becoming reality: for example, a future in which many tasks, traditionally done by humans are transferred to intelligent machines. I was really curious to understand how it works.”

Today, Kawtar is a manager focusing on AI and analytics at Deloitte France, where she helps clients innovate their way of working. She develops solutions that are capable of learning, explaining, and providing optimized directions to users on how to improve their decision-making, guiding them through their organization’s AI transformation.

At university, Kawtar completed degrees in both information systems and business administration. But it was not until she joined a startup specializing in data science that she really discovered what she calls the “wonderful world of AI.” Her journey led her to join Deloitte in 2018, where she has been working with a team of data scientists to identify the AI needs of clients by performing analyses to pinpoint areas for machine learning applications.

One of the most exciting parts about Kawtar’s job is the sheer number of opportunities and possibilities within the field of AI. She says AI technology is used in various fields, ranging from health and communication to the construction industry, which call upon several specialties, such as mathematics, computer science, and cognitive science. Kawtar loves this diversity. “We never fall into a routine. Every day is a new subject and a new challenge,” she says.

She particularly enjoys exploring new avenues and new approaches to help clients and communities: “When I work on a project, it's not always clear and it's not always simple, but at the end I generate meaningful insights for the clients, and that is satisfying and makes me very proud.”

This can become an issue when many AI professionals are men. “Men may design the algorithms according to their values and their points of view, which can sometimes be different from those of women.” To mitigate inequalities, Kawtar believes that “we must encourage a mix and diversity of teams.”

Taking a look at her own career, she values the encouragement and appreciation from her colleagues as an important cornerstone for her own motivation, to keep going and to not get discouraged when things don’t work out immediately. Kawtar sees great opportunities for women who want to start a career in AI, and adds: “Companies value women who wish to make a career in this field by offering them important development perspectives and permanent recognition. So, don’t hesitate to consider us, we need your talent!”

She helps make the future less uncertain

Sandra Bauer not only helps her clients solve today’s problems, but also points them toward the future. “Transformation needs to happen in many companies. They no longer can apply the old rules, because the markets are changing very fast,” she says.

Utilizing analytics solutions in the areas of business intelligence with big data, advanced analytics, and AI, Sandra equips companies with the tools they need to respond quickly to the challenges ahead.

With two decades of experience in analytics and business intelligence, Sandra is still excited about “new engagements, new technologies, and implementing AI-related use cases for our clients in different industries across the globe.” She finds it especially satisfying to see the technology make a real impact for her clients. She recalls: “We went live with our first AI use case on a big data platform that we implemented, and the head of statistics actually said, ‘Now, I can finally verify the complete model that that we’re using for predictions.’”

Sandra joined Deloitte Germany in 2016 and is a partner for the Artificial Intelligence & Data offering, which focuses on AI, big data, data management, and cloud analytics. She originally comes from a background in technology and business. “I didn’t want to be pushed into one specific direction. I wanted to be open and flexible in choosing which paths to take. And very early on, I decided that I wanted to have a job that entails both the business and the technology side of a hybrid environment.” And this approach has guided Sandra throughout her career.

Sandra is positive about the impact AI will have in helping make the world a better place. But that depends on bringing more women into the field and deploying their abilities to make AI more human-facing. “I think that going forward, the main differentiator that we have in the workspace is that we need to be more human. As a woman, I still see the bias, of course. A minority of researchers are women, so we have to amp up on that side. We have to teach AI to be more human—and of course, that includes half the population, which is women.”

She is particularly proud of the role that diversity plays in her own workplace. “I deliberately chose Deloitte because of its values, and I see them being lived in our organization daily.”

With more women in AI, she is confident that the solutions she and her team develop for clients will be more aligned with trends in wider society, including diversity and inclusion. “I think it brings a lot of value to our clients, and to us as a company, to focus on that more, going forward,” she says.

Her advice to those looking to embark on a journey in AI: “Find a good mentor, find a good company with a brand with values that you can identify with, start small, and never stop being curious to learn about new technologies.”

She is making cities smart

Rita Chan discovered her interest in artificial intelligence 20 years ago, while working as an accountant. She was intrigued by the idea of not just crunching the numbers, but also looking at the big picture and improving the accounting process from end to end.

“Previously, we spent hours performing reconciliations, but now with robotic process automation (RPA) and AI, many of those are being replaced by technology,” she says.” Now we can spend more time doing the actual analysis and help to drive insights and decisions.”

Today, Rita is a partner at Deloitte China and focuses on implementing AI-assisted systems. She helps clients to find smart solutions and move away from the traditional way of operating to explore more intelligent, AI-fueled approaches.

Rita, who’s been with Deloitte for 11 years, particularly likes the dynamics of working in consulting and helping organizations solve their problems. Her focus includes enterprise resource planning (ERP) systems and their implementation. “The favorite thing about my job is helping my clients,” says Rita. She loves that each client has its own unique issues to solve, and she finds it rewarding to take the AI journey together with them. Rita notes that “even when you look at similar solutions, you have very different impacts and outcomes for different clients.”

Reflecting on what it is like to be a woman in AI, Rita reflects on a shift: “Currently, it feels like the majority is male, but people want diversity.” She observes a positive trend, especially an increase in female leaders, which she anticipates will benefit everyone.

Diversity is a critical success factor for AI, Rita believes, because it enables organizations to look at things from different angles, broadens their understanding, and helps them find better and more balanced solutions. “It is important to listen to different groups of people with different backgrounds to get a broader and holistic view, instead of something narrow.” In addition, she says “tech nowadays is more than just the programming; it’s how you apply those technologies, and experience in the industry is important as well.”

Rita says communication and willingness to exchange ideas are some of the key ingredients of success in her field. “You need to have the right mindset and believe in AI,” she says.

“Many people do not yet realize how much AI is already part of our everyday lives,” Rita says, citing smartphone apps as an example. “I believe AI is the future. AI can help business and society make our lives easier.”

She grew her love of mathematics into a passion for AI

Maca Estévez Munoz designs and adapts data models for her clients that focus on real-time data analysis. Utilizing the power of AI and connecting the dots in large data sets, she helps them tackle their “big problems” by making sense of large amounts of data and by improving their data-driven insights and overall decision-making.

Constantly challenging the status quo, creating something new and being able to drive innovation while helping people is what Macarena likes most about being a partner in Deloitte Spain’s AI & Data offering. This is what made her start a career in AI in the first place: “I fell in love with mathematics, and then I started working and realized that I could help people, help companies solve important problems.”

She emphasizes that it is no longer good enough to only have information available in real time. We now need decisions and solutions in real time, too. This is a turning point, and it is also where AI becomes crucial. “I think AI brings everything in real time, and in some sense we can contribute to creating the future,” she says. “And this makes me feel like I’m doing something important.”

Maca’s passion for math started early during her studies. She still studies it daily and has never lost her natural curiosity. “At the beginning of my career, I was the one doing the math. Today I can sit with my team, understand what they are doing, and give suggestions not just from a mathematical point of view, but also considering the business of our clients.”

She initially thought about becoming a teacher, but after discovering firsthand the positive impact math and AI can have, she decided to start a career in business. Eventually she founded her own company, which specialized in developing strategic decisions based on the formulation of mathematical models, and later joined Deloitte Spain. When asked about what it is like to work for Deloitte, Maca draws a comparison from the world of soccer: “Before, when I had my own company, it was like playing soccer in my small town, and now I feel like I’m playing for Real Madrid. And that really makes me proud.”

Maca is also confident that there is a large amount of untapped potential in AI with huge benefits for business and society: “I think AI is here to help us. It is not here to take people out of the equation. AI is going to help us to improve by working alongside machines, and it brings us to what we call the ‘Age of With’: the age of humans with machines.”

Reflecting on her own choices and experiences, she encourages women to join the field of AI and to be bold: “My advice to women would be to learn by doing, and don’t be afraid. AI can be nearly anyone who is interested.”

She started her AI journey with Doctor Who

Aisha Greene’s passion for the wonders of technology was first sparked in front of the television, watching the adventures of time traveler Doctor Who. Growing up in a family of sci-fi and technology buffs, she loved the TV character’s “really cool” British accent, and the show helped ignite a natural curiosity about how things work.

This curiosity would become a major driver throughout her career.

Aisha has a passion for bringing innovative minds together to help clients and communities with their most pressing issues, but also in exploring different perspectives, discovering new solutions, and gaining better insights.

“The ability to build connections, build fluencies, create knowledge around it, and ask the question, ‘How do we connect in a trustworthy, ethical way that people gravitate toward and see themselves reflected in all those experiences?’ That’s what we really want to bring forward within the AI institute,” says Aisha, who is a manager in Deloitte AI Institute within Deloitte Canada.

Talking about her career path, Aisha says: “I actually didn’t start off in AI, and I didn’t have the traditional path. I did my undergraduate and graduate degree in biochemistry, and then I worked several years in pharmaceutical research.” It was after her MBA, in a conversation with her mentor, when Aisha started exploring what she loves doing, and her journey in AI started: “I love talking to people. I love exploring, but I also want to see what’s on the bleeding edge of technology.”

Later, Aisha started working at a research organization that empowered startups in harnessing data and found her passion for AI: “At a time where people typically didn't think about data in a way of building a business around it. I was looking at how we take data, information, statistics, and see how we can power that into startups.”

Taking it one step further, Aisha started her own business to help clients and communities: “It was really taking people’s ideas and seeing how we scale it, asking questions such as ‘Is it feasible?’ and ‘What’s the market around it?’”

After a couple of years, the local government hired her to work on diversifying the economy away from fossil fuels using data-informed decision-making: “It was an exciting time because we were having conversations with small businesses, academia, startups, large conglomerates, and seeing how we power things forward with data and how to make informed decisions with data as well.”

A major shift occurred when her mother was diagnosed with cancer, and she moved back to Toronto and began working for a local hospital: “This opportunity was an eye opener for me, because my career experiences had been mainly focused on lab bench research. In this environment, I moved into the realm of how we take clinical informatics and inform our decision-making.” Inspired by what AI can do, she also worked with Ontario Tech University “delving into machine learning and interactive recognition” before joining Deloitte.

Aisha urges women to think past the traditional career paths and forge their own path: “Build a network, and that network will be your advocate in pushing you forward into your next journey.”

She helps us trust AI

As a director for AI and data in Deloitte’s Middle East practice, Aditi helps clients utilize AI and find innovative and practical solutions to their most complex and pressing issues. This enables her clients to improve their cost efficiency and the way they interact with their customers. Aditi not only empowers clients to leverage technology but also enables them to understand and trust AI and fully embrace the insights and the enhanced decision-making that it offers.

Having a background in marketing, Aditi initially started her career as a product manager focusing on brand visibility. Everything changed when a connection of hers offered her the opportunity to work in analytics, where Aditi found her passion for AI: “I thought it was pretty interesting. Considering that data is going to become a lot more popular, I thought it was a great way for me to get into something that’s going to be the next big wave without realizing how big that wave was going to be.” She later joined Deloitte and has helped grow the AI practice.

Once Aditi had found her passion for AI, she started to focus on more than just the technology: “I continued investigating, learning, and understanding more about this field—not just technically, but also on the softer sides of it—which is understanding why our client needs something,” she says. “How can we use AI and machine learning to help them make better, faster, more efficient decisions? And that helped me appreciate the various aspects of AI and data, and how we can help our clients.”

Aditi believes it is particularly important to realize that AI is not just about the technology—trust plays a critical part: “The more we progress, the more AI will be about things that we do in our everyday lives. So we need to ask how can we trust it to make decisions on our behalf.” Discussing this question and helping clients trust AI is an integral part of Aditi’s job.

She says diversity plays an important role in AI and stresses how important it is to see things from different angles, not just for the sake of diversity, but also for the sake of objectivity: “A perspective from a diverse group of people is really important to the field of AI, because AI as a technology also has biases, and if only one gender is building these models, it tends to have more of those biases—unfortunately—and that is a proven fact.”

Aditi says the field of AI is broad, and she encourages those interested to consider the array of careers within it. She clears up a common misconception: “There are a lot of different tracks that you can follow—it’s not just about coding. So, think wide, think broad, and think about where you really want to head.”

She is a cheerleader for what’s possible with AI

Kellie Nuttall’s path to leadership in artificial intelligence has not been a conventional one. “I wouldn’t say I found AI,” she says. “I’d say AI found me.”

Kellie’s academic background is in psychology, and at school she struggled with math: “It was really conceptual. It didn't make sense to me.”

During her psychology studies at university, something started to click when she saw the possible applications of AI to solve problems, she recalls. “Ultimately it was all about using data to answer questions, and there's a story in data. And I loved that. Even more than any other analytics technique, AI can really help you understand that story more powerfully than ever before.”

Kellie has since fallen in love with AI and now leads Deloitte Australia’s AI & Data offering. “I love it because it allows us to be more human as humans and take the robot out of the human, in many ways.” She believes that AI has the potential to significantly enrich our lives on many fronts: “Whether that’s health care advances or improvements in financial security, or safety with autonomous vehicles—there’s so many things it’s going to do to improve our day-to-day lives.”

She explains: “Artificial intelligence is really good at the repetitive mass processing of information. Humans are really good at the human touch, the empathy, the understanding, the problem to solve. And I think that leveraging AI for repetitive tasks allows us to focus more on that human connection, and problem-solving is really awesome.”

Kellie earned a PhD in psychology of consumer decision-making. And with her skills in statistics and research, she ended up running a center of excellence for transport analytics for a state government. After recognizing the pitfalls that can occur when applying AI, she decided it would be valuable to share her insights with other organizations that were on a similar journey. And that brought her to Deloitte nearly a decade ago.

At Deloitte, she works together with an enthusiastic team of AI professionals. She incubates leading-edge AI solutions, works with clients to build their AI fluency, and educates them on what these technologies could mean for their organization. “Think of me as Deloitte’s official cheerleader for artificial intelligence in Deloitte Australia,” she says.

On the representation of women in AI, Kellie sees a need for action: “Females are underrepresented in the field of AI. Studies have already proven that teams that are working together with both genders are far more creative, they’re more experimental, they’re more productive, they’re more able to detect biases in their problem-solving.”

Kellie calls for a change: “The time for impactful AI is now, and so women should really think about STEM careers like AI, because there is a huge opportunity to make a massive impact that matters.”

She’s building the future with AI

In school, Rie Okubo had little interest in math and science. But one day, she decided to take a programming class. “I didn’t do it because I was interested in it initially,” she recalls. But having taken it, it sparked her interest and planted the seed for her future career.

Rie went on to study economics at university and initially didn’t have much connection to programming, let alone AI. She changed jobs a few times until she was inspired at an AI conference that led to her joining Deloitte in 2011. Rie remembers, “I met someone from Deloitte UK who gave a presentation on robotics at an AI conference in Lisbon, Portugal.” She was intrigued by the talk and thought about the potential applications of robotics and intelligent automation for one of her current projects. “So, I talked to him, and we wanted to combine AI with our current efforts on the project to redesign the client’s operations.” This encounter would later steer her to lead the Intelligent Automation market offering in Japan.

What fascinates Rie about AI is that it can be applied to an extremely wide range of fields. She says, “It's really fun to think about how AI can be applied, or where it can be applied together with technology we already have.” She particularly enjoys thinking about new ways AI can be used to solve her clients' business problems. “We often apply AI to things we haven't applied it to in the past. Together with a client, we seek out these opportunities, and in a lot of the cases it's now a proven method.” Rie believes in deploying AI to help humans do things better. “People and machines work together. Both have experiences and use that experience to make things more effective and efficient.”

Reflecting on her experience as a woman in intelligent automation, Rie says: “My experience as a woman… oh, there aren’t very many women, actually!” She would like to see more gender diversity in AI, as it would allow for new perspectives on solving difficult problems. Rie is certain, “Women in my field have a lot of great ideas! It’s exciting to hear about new ideas that you can actually build into a tangible solution. Sometimes ideas come from within my team, sometimes outside my team, from within the firm, or sometimes from friends in other countries.”

Rie wants to encourage women to join Deloitte in the AI field. “What’s unique about Deloitte is that we build strong relationships—within our teams, within the firm, and with different organizations.” She believes in Deloitte’s mission as a company to change society for the better. “I think the most important skill at Deloitte is not about coding or about knowing all different kinds of tools. That’s something you can learn after you start your career. The most important skill is the ability to have a vision of the future.” Rie firmly believes that Deloitte is not just thinking about the future but making it: “We can build it together, and it’s really fun!”

She is the voice of AI

“One of the big things that I’ve learned during my journey at Deloitte is never to be shy, to really think outside of the box,” says Reny Vargis-Cheriyan. And it was indeed an outside-the-box idea for a project that sparked Reny’s curiosity and steered her into the wonderful world of AI.

Reny recalls: “About five years ago, I started getting involved in the use of AI in voice. And that’s why, today, I am the global lead for a voice analytics solution.”

The idea came to her when she was engaged in a project where financial advice was given to customers over the phone. “They had this entire team of people that were just manually listening to these calls to make sure that they were saying the right things,” she recalls. And that’s when she thought: “Wouldn't it be amazing if we had a technology that could just replace what seemed like a very standard task?”

“So we developed an analytics solution that analyzes what humans say in an interaction,” Reny says. “But not only do we analyze what’s being said. We also analyze how it’s being said. So, we learn a lot about the behavioral indicators.” Reny sees this as a real differentiator and as a great opportunity to learn more about the importance of behavioral patterns in our speech and the effects they are having on others. She is proud of the fact that it was developed solely by her team, which has been working on it for five years.

Reny, who has been with Deloitte for 16 years, is a partner in the risk analytics team in the United Kingdom. With her background in aerospace engineering, she helps clients use data and analytics to get the most out of what they want to achieve for their customers.

Lately, she has been focusing on integrating AI ethics and risk models into AI voice applications and the other software her team develops. Reny says, “There could be a risk that these models are trained in a way that (they) could be biased for certain groups or certain genders, or certain demographics. I am happy for people to disagree with me, but as a female, I do feel that I have a duty not only to myself, but to different demographics globally, to make sure that these models are trained in a way that it’s not going to be a detriment to anyone.”

Reny is enthusiastic about her work. “The part that I love about my role is the team, the people that I work with, and the caliber of individuals,” she says. “And the impact and the value that we deliver to our clients is what keeps us going.”

She strongly encourages women to become part of the AI team and is looking forward to seeing some brilliant recruits coming up through the pipeline. Her advice is: “Don't be scared, be bold, be very inquisitive, and always try to think outside the box—don't ever be bound by thinking you have to follow a particular process.”