Solving Day 2 Problems: Hidden Hurdles to GenAI Success and How To Overcome Them
summary
A field report that names specific failure modes and concrete fixes: a survey finds 100% of data professionals feel pressure to build GenAI and 91% have built or are deploying it while 68% say their data is not AI ready; an observability stack adds a monitoring agent plus a hierarchical troubleshooting agent that reduces time to resolve incidents by ~80%, runs on AWS Bedrock with Claude 3.5 Sonnet, returns recommended next steps in under a minute and relies on human review for quality.
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chapters (8)
- 0:00Introduction
- 1:49Pressure on GenAI products
- 3:57Why GenAI is different
- 6:05AI agents for data incidents
- 9:36Pragmatic GenAI lessons
- 12:45Reliability challenges
- 15:34Operationalizing GenAI reliability
- 18:04Q&A on troubleshooting latency
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