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“Humans will be driving the innovation and the strategy around AI. It’s a mistake to think about AI as a replacement technology, because then you’re not really understanding the value that your humans bring to the enterprise. The subject matter expertise, the domain knowledge, the understanding of the business, are things that may be unique to your business, your enterprise, your differentiation and AI is not going to replace that.” Rabbit and the Hare While AI may not replace the employees for now, it is obviously in high demand. But with AI throwing up so many questions around security and data sovereignty, could those in strictly regulated industries be in the best place to innovate? “We see a lot of acceleration of AI in consumer space where there’s no guardrails, so consumers have the ability to take advantage of different AI capabilities,” said Bell. “I actually think regulated industries are in a perfect position to drive innovation, because foundational to AI is good quality data that’s governed and secure. “Being in regulated industries, these organisations have largely invested in secure information management, and that has put them in a great position to actually start to drive AI adoption on top of that data and content that they’ve invested in already. “I see it as they have an advantage on accelerating innovation over other enterprises in the private sector. Obviously, the consumer speed and pace of innovation is outpacing everyone, but they don’t have the same guardrails, and they don’t have the same concerns about protecting intellectual property and the enterprise, but I think that investment in secure information management positions regulated industries well to add AI, and a lot of businesses are trying to catch up.” Bell finished by saying that the enterprises who have taken their time to adopt AI are in a stronger position than those who were quick to embrace AI when it was first introduced. Citing studies from MIT, she said that those who have adopted AI for the sake of it have not seen the same value as those who took their time and had an outcome in mind from the outset.
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The barrier to
entry with AI is low, but it doesn’t mean that it’s operating in the safe constraints that you want
inside your enterprise.
“The barrier to entry with AI is low, but it doesn’t mean that it’s operating in the safe constraints that you want inside your enterprise. Taking time to build in the business case, understand the outcomes, and then apply AI to drive those outcomes is what will actually drive more material benefits. “Then we will take AI from just being a technology for technology’s sake project, into something that’s truly transforming the enterprise.” X
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