Best Chain of Thought Episodes for Enterprise AI Leaders
Getting AI past the pilot — ROI, rollout, and the data underneath it.
Most enterprise AI budgets are still funding pilots that never graduate. What strands them is usually mundane: data the agent can’t reach, or a rollout nobody sequenced past the demo. Every operator here got out of that, and they’re specific about what it cost.
- 1 How Block Deployed AI Agents to 12,000 Employees in 8 Weeks w/ MCP | Angie Jones Angie Jones, Block Block put AI agents in front of 12,000 employees in eight weeks. Angie Jones on the security guardrails that made that defensible, and why letting people choose their own model was what drove adoption.
- 2 Why Most Enterprise AI Projects Fail to Show ROI | HP, ServiceNow & Accenture Vikram Chatterji, Alex Klug, Sriram Palapudi & Jay Subrahmonia The ROI question asked directly, with HP, ServiceNow, and Accenture answering it. Still the clearest entry point on why AI spend so often fails to show a return.
- 3 Stop Token Maxxing: Find Where AI Actually Pays Off | Jiaona Zhang Jiaona Zhang, Laurel Jiaona Zhang on the token-max trap that blanket “use AI everywhere” mandates create, and using time data to see where AI is returning something instead of assuming it is.
- 4 Data Federation, Not Centralization, Is What Enterprise AI Needs Jitender Aswani, Starburst The argument that every stalled enterprise AI project is fighting the same hidden battle: the agent queries the model fine, it just cannot reach the data spread across 52 to 200 sources.
- 5 Inside IBM's watsonx: Building Enterprise AI That Ships | Dr. Maryam Ashoori Maryam Ashoori, IBM IBM’s Dr. Maryam Ashoori on what separates enterprise AI that ships from enterprise AI that demos, with findings from a survey of 1,000 developers behind it.
- Best Chain of Thought Episodes for AI Founders Building an AI company — defensibility, GTM, and the market reality.
- Best Chain of Thought Episodes for Engineers Shipping with AI — the craft, the workflow, and the reality checks.
- Best Chain of Thought Episodes on AI Agents How agents actually work — architecture, memory, context, frameworks.
- Best Chain of Thought Episodes on AI Evaluation Measuring whether AI actually works — evals, reliability, trust.
- Best Chain of Thought Episodes on Agent Memory How agents remember — memory stores, context engineering, and what breaks without them.
- Best Chain of Thought Episodes on Multi-Agent Systems Many agents, one system — orchestration patterns, protocols, and the overhead they add.
- Best Chain of Thought Episodes on Open Source AI Open weights, open ecosystems, and what they actually cost in production.
- Best Chain of Thought Episodes on AI Coding Agents What changes downstream when agents write most of the code.
- Best Chain of Thought Episodes on AI Security Attacking agents, defending them, and the part software cannot cover.
- Best Chain of Thought Episodes on RAG & Retrieval Getting the right context to the model: chunking, vectors, graphs, and what breaks at scale.