Generative AI Landscape Building a Modern Data Strategy
summary
Roadmap for generative AI centers on data quality as the foundation with 80% data quality determining model outcomes, uses GANs and VAE-style models, and requires a centralized model layer plus orchestration for prompt engineering and LLMops; infrastructure must scale with GPUs or TPUs for training. Governance covers PDPA GDPR CCPA, cataloging, lineage, masking and tokenization. Practical builds include chatbots that resolve first‑level queries, automated code generation that needs light tweaks, and drug‑discovery pipelines and fraud detection deployed with monitored feedback loops.
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chapters (8)
- 0:00Introduction
- 1:08Generative AI architectures
- 8:41Generative AI architecture
- 15:29AI strategy roadmap
- 23:23AI governance framework
- 27:59Strategic value with generative AI
- 31:56Industry applications and outlook
- 34:06Q&A
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