The podcast episode explores the distinction between training data and inference data, highlighting the architectural discipline required for each type of data. It emphasises the challenges and root causes of architectural issues, and introduces the three-layer model for trust and the importance of metadata and lineage for AI systems.

Takeaways

• Training data and inference data require different architectural discipline and trust guarantees.
• Metadata and lineage are crucial for AI systems, more so than for analytics.

🎧 Listen to The Data Journey wherever you get your podcasts, or visit thedatajourney.com