Since generative AI burst into the global consciousness in early 2023, I’ve had the chance to talk with hundreds of executives across all industries about the potential benefits it can bring to their organizations—everything from startups to enterprises. I’ve spent most of my life working in machine learning and artificial intelligence , and these conversations are a great chance to get a real-world progress report on the pace of AI adoption.
Based on what I’ve learned from these conversations, I would recommend three essential steps that executive teams should be taking to leverage the potential of generative AI:It’s very easy to get caught up in the excitement of a new technology like generative AI. When executives ask me what generative AI can do, I like to ask them to start by telling me more about their challenges.
As for talent, bringing generative AI to an organization doesn’t necessarily require hiring a cohort of machine learning scientists. It does mean bringing together internal perspectives and talents, combining the technical knowledge of IT personnel with the deep insights of line-of-business leaders. Together, they can learn about generative AI, explore what it can do and begin using it—carefully and responsibly.It’s important to use generative AI responsibly right from the very beginning.
These three initial steps may seem foundational, even obvious. But some executives I’ve spoken with find their progress slowed by common misconceptions within their teams. First, there’s an inherent skepticism of new technology, particularly generative AI, since it’s disruptive. I also hear that generative AI is difficult and expensive to implement and limited in its offerings.
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