When thinking about AI and how to get the most out of it for your business, it’s important to acknowledge that it’s not a case of machines replacing humans. In fact, the need for human involvement isn’t ever going to go away because the value of our esoteric capabilities, like empathy and imagination, cannot be underestimated.
So, how do you approach AI? Why bother? And where do you start? Two of our Deloitte AI experts, Dr Kellie Nuttall and Rebecca Blackford, shed some light on the state of AI in Australia, and the gradual (and inevitable) trend towards building the best human-machine teams to drive lasting value.
Kellie, Deloitte’s National Lead Partner – Analytics & AI, kicks off with a quick AI definition, to make sure we’re all on the same hymn sheet and appreciate its increasing popularity.
“At its simplest, AI provides a range of technologies to help us solve the problem you have always had in a different (and often better) way. Think of AI as at set of superpowered skills and applications... For example, data analysis (searching content at speed), speech analysis (recognising emotion in speech), image analysis (detecting traffic building up from camera feeds), automation (processing insurance claims), communications (speaking or making facial gestures) and creation (drawing and painting). Those are just some quick examples, but you get the idea.
“What I get most excited about, is AI’s ability to solve some of the most challenging problems in totally new ways to deliver business and societal value. And like all good things, doing this successfully takes a combination of the right skills but equally, the right mindset.”
Rebecca, one of our talented data scientists, agrees. “When you use AI as one of the tools in your arsenal to solve complex problems, you open up a host of new opportunities. Used in the right way, AI can help you differentiate your brand, reinvent your operations, redesign your business model (to accommodate machine learning, for example) and support effective cloud transformation. At Deloitte, we have seen organisations at very different levels of AI maturity – ranging from early exploration, to more advanced states where AI is well and truly embedded into operations and the way decisions are made. Our job is to move the dial from exploration to operationalisation.”