# 1030: Garbage In, Gospel Out: Why Agents Need Better Data, with Salesforce's Gaurav Pathak

An episode of [Super Data Science: ML & AI Podcast with Jon Krohn](https://invisiblenetwork.ai/podcast/1163599059), 25 Sep 2026, 23 min.

Audio: https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1534862521.mp3

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 Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information. 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

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