『1030: Garbage In, Gospel Out: Why Agents Need Better Data, with Salesforce's Gaurav Pathak』のカバーアート

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

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

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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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