What does it take to run AI in production? — Moving AI from a pilot to a production workload takes two changes at once: adopting the technology and changing the operating model that delivers it.
In this episode, Matt Wood, VP and Chief AI and Technology Officer at AWS, explains why top-down change management fails for AI, how to choose models without locking yourself in, and why the cost of a fixed level of intelligence keeps falling.
• 00:00 Introduction
• 01:39 What does it take to run AI in production?
• 06:58 Are AI benchmarks reliable for choosing a model?
• 11:31 How do you avoid AI model lock-in?
• 18:09 Do AI costs spiral out of control in production?
• 27:16 What do you need besides a model to run AI in production?
• 29:30 What data and governance do enterprises need for production AI?
• 32:51 How do you measure ROI on AI projects?
• 34:15 What should a CTO tell their team about AI this week?
• 36:57 Closing
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