Episode

Why Data‑Driven Efforts Stall in Fragmented Environments - with Jason Loomis of Freshworks

Podcast
The AI in Business Podcast
Published
Jun 30, 2026
Duration seconds
1271
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not_requested
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https://podcast.emerj.com/why-datadriven-efforts-stall-in-fragmented-environments-with-jason-loomis-of-freshworks
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https://traffic.libsyn.com/secure/techemergence/AIB_Final_Audio_Jason_Loomis_Freshworks.mp3?dest-id=151434
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Summary

Enterprise AI adoption is moving faster than security and governance frameworks can follow, forcing organizations to make difficult trade-offs between competitive urgency and operational risk. In this episode, Jason Loomis, CISO at Freshworks, examines why most enterprises have not yet resolved the tension between AI deployment speed and security maturity, and outlines a sequenced approach; beginning with regulatory compliance, advancing through data trust, and extending into AI-specific security frameworks. The conversation covers how leadership can build the investment case for AI, how culture shapes adoption outcomes, and why the biggest executive mistake is expecting returns before committing the resources that make them possible. Connect with ideal enterprise AI through the strategies Emerj employs to help leading AI brands and startups: emerj.com/AD1