About this episode

This episode discusses the challenges of AI adoption in enterprises, focusing on the gap between technology and user engagement.

70% of technology transformations fail. Not because of the technology, but because of the gap between what leaders buy and how people actually use it. In this episode, host Donna P. Mitchell turns the lens to the builder's side. Instead of a product leader on the people side of adoption, she sits down with Maulik Bhatt, Tech Lead for Amazon Quick at AWS, who builds the core infrastructure behind Amazon's enterprise generative-AI assistant. He speaks the engineering; Donna translates it into what leaders and frontline teams actually live. Together they unpack why enterprises buy subscriptions before they have a use case, how AI earns trust in healthcare through human-in-the-loop and a 99% confidence bar, and how to tell a system problem from a people problem. It was never the technology. It was the gap. TOPICS COVERED: - Why enterprises buy AI subscriptions before they have a use case - How NIST, IEEE, and White House standards actually get made - Why healthcare and finance adopt AI slowly, and should - The human-in-the-loop model and the 99% accuracy threshold - How to tell a system problem from a technical problem from a people problem - Why "just buying subscriptions won't…

People in this episode

Host: Donna P. Mitchell

Guest: Maulik Bhatt

Topics covered

• AI adoption
• technology transformation
• human-in-the-loop model
• enterprise subscriptions
• accuracy in AI
• system vs people problems

Keywords

• AI
• technology transformation
• enterprise
• human-in-the-loop
• accuracy
• NIST
• IEEE
• healthcare
• finance

Mentioned in this episode

Organizations: Amazon Quick, AWS, NIST, IEEE, White House, healthcare, finance

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