Keynote Panel: Building a career in GenAI
summary
Panel explains concrete career moves and tech: a claim of one trillion-parameter training on a single chip and 2,000 tokens per second inference speed, demos of Agent Force and integrations with SageMaker and Bedrock, practical RAG and fine-tuning patterns, and use cases from ERP to fan engagement plus a recent IBM partnership. Speakers give timelines (GPT-3 → 3.5 → 4) and scale metrics (petabytes, $100M revenue product) and outline roles that survive by using AI co-pilots.
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chapters (9)
- 0:00GenAI career paths
- 2:31AI career trajectories
- 11:54Ganesh’s AI journey
- 20:34Manit’s data to AI shift
- 27:01AI reshaping tech careers
- 45:52GenAI innovation changes
- 50:51AI replacing roles fears
- 59:24Stay relevant in AI era
- 1:03:15Agentic software learning
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