Generative AI in the Real World: Who It's For and Who Sponsors It

Est. audience: 300
Apple rating: 5 from 1
Cadence: Monthly
Latest: 2026-10-15
By: O'Reilly
Based on: 12 recent episodes

Covers: Practical generative AI adoption, data infrastructure, observability, agentic coding, post-training, synthetic data, and production system architecture.
For: Software engineers, data professionals, and enterprise leaders deploying AI technologies.
Best for: Technical leaders and practitioners implementing generative AI into enterprise production environments.
Skip if: Non-technical consumers looking for basic generative AI prompt engineering tips.

Start with

Observability for AI with Charity Majors: Explains how observability helps teams manage nondeterministic systems and maintain reliable software.
Chang She on Data Infrastructure for AI: Details why traditional vector databases fall short for modern artificial intelligence workloads.
Fabiana Clemente on Synthetic Data for AI and Agentic Systems: Explores enterprise synthetic data applications and privacy controls for offshore workflows.

Summarised by AI from 12 recent episodes. Audience estimate and Apple rating from Podscan, checked 2026-11-03; treat the estimate as a guide and ask the show for its own numbers. Prices are not included. Report a mistake.