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The episode introduces the concept of explainability and its importance in AI systems. It emphasizes that explainability is not an AI feature but an architectural outcome, and it's about being able to retrace intent. The conversation sets the stage for a deep dive into the topic of explainability and its practical implications in the context of customer 360.
Takeaways
🎧 Listen to The Data Journey wherever you get your podcasts, or visit thedatajourney.com
By Roland BrownThe episode introduces the concept of explainability and its importance in AI systems. It emphasizes that explainability is not an AI feature but an architectural outcome, and it's about being able to retrace intent. The conversation sets the stage for a deep dive into the topic of explainability and its practical implications in the context of customer 360.
Takeaways
🎧 Listen to The Data Journey wherever you get your podcasts, or visit thedatajourney.com