Podcasts · Super Data Science: ML & AI Podcast with Jon Krohn
1030: Garbage In, Gospel Out: Why Agents Need Better Data, with Salesforce's Gaurav Pathak
· 23 min
Episode 1030: Garbage In, Gospel Out: Why Agents Need Better Data, with Salesforce's Gaurav Pathak
During their #sponsored discussion, Senior Vice President Product Management AI and Metadata at Salesforce, Gaurav Pathak talks to Jon Krohn about why AI agents need well-labeled, high-quality data to deliver reliable answers in the enterprise. Listen to the episode to hear Gaurav Pathak talk about the difference between a “data brawl” and “garbage in, gospel out”, who the “sin eaters” of enterprise AI are and the three skills that matter most for AI engineers today!
Additional materials: www.superdatascience.com/1030
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In this episode you will learn:
• • (03:05) Why metadata are the labels AI agents need • • (06:31) From “data brawl” to “garbage in, gospel out” • • (10:57) Who the “sin eaters” of enterprise AI are • • (13:45) What data quality rules are and how CLAIRE generates them • • (17:21) Three skills AI engineers need in the agentic era
Links in the notes 1
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