AI's Messy Reality: Live Coding, Physical Robots, and Data Integrity
About this episode
Jonathan Harris explores the practicalities of building intelligent systems in AI, focusing on live coding, physical robots, and data governance.
Jonathan Harris cuts through the AI fanfare this week, examining the practicalities of building intelligent systems. We look at the surprising value of live coding sessions for knowledge transfer and the real-world challenges of physical AI, from motors to maintenance. Plus, the unglamorous but crucial role of data governance and context management in making AI useful, and the quiet shift towards voice as a default developer tool. It’s about what actually works, not just what sounds good in a press release.
More episodes of Turing's Torch AI weekly
- Agentic AI, Workflow Automation, and AI Governance
- AI Agents, Ads, and Audit Trails
- Model Hype, Workflow Automation, and AI Governance
Explore listener stats, chart rankings, contacts and more on the Turing's Torch AI weekly podcast page.