Automating Intelligence: Data Collection, Human Feedback and the Future of Context-Augmented Agents (E.18)

In this episode of Free Form AI, we sit down with Tomu Hirata (Databricks), whose journey from medicine to software engineering offers a unique lens on building AI systems. From automating construction machinery to optimizing job postings at Indeed, Tomu has worked at the edge of AI data collection and model design.

Tune in to Episode 18 for a wide-ranging conversation about:
• The challenges of gathering real-world data for AI in construction and beyond
• Why human feedback is critical for prompt optimization
• How context and memory augmentation will shape the future of AI agents

If you’re curious about where AI agents are heading, and what it takes to make them truly effective, this episode is for you.