Most AI Pilots Fail to Scale. MIT Sloan Teaches You Why — and How to Fix It
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Learn from the critical mistakes that cause 99% of AI products to fail in this 49-minute InfoQ conference talk by Phil Calçado, an engineering leader with 30 years of experience. Discover the hard-won lessons from building and failing with a GenAI startup, including insights into the mistakes major companies like Salesforce and Google are making. Gain a software engineering perspective on building resilient, production-ready AI systems that can succeed in real-world applications. Explore the architectural challenges and practical considerations that separate successful AI implementations from the overwhelming majority that fall short of expectations despite massive investment.
Syllabus
Why 99% of AI Products Fail: A CTO's Hard-Won Lessons
Taught by
InfoQ