Scaling GenAI Applications and Agentic AI for Business Competitive Differentiation
summary
Ten concrete practices for production GenAI are listed (identify high‑impact use cases, solid data foundation, ethics, continuous improvement) and a maturity model from level 0 to 6. Claims: 185 customer engagements analyzed, up to two million token context windows, context caching that charges storage once, and Gemini 2.0 flash at 2× speed. Platform specifics: over Model Garden 150 models, Imagine 3 for images, 6‑second video at 720p30, multi‑agent SDKs and observability tools for LLMops.
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chapters (13)
- 0:00Scaling GenAI and agentic AI
- 1:14High-impact GenAI use cases
- 2:39Solid data foundation
- 4:06Collaborative AI culture
- 5:31Business-aligned AI roadmap
- 7:17Enterprise-grade AI infrastructure
- 9:24Ethical and responsible AI
- 10:48Continuous improvement
- 12:36Team training and impact
- 14:25Early prototyping
- 16:56Agentic AI architectures
- 18:40Evaluation and LLM Ops
- 20:06Live demos and Q&A
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