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How Data Ownership Drives Trustworthy AI Models - with Joe Lang of Comfort Systems

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Manage episode 502692257 series 79750
Content provided by Daniel Faggella. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Daniel Faggella or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Joe Lang, Vice President of Service Technology and Innovation at Comfort Systems USA, joins the AI in Business podcast to discuss why a clear data strategy must come before investing in storage infrastructure for AI adoption. Joe outlines the risks of assuming that cloud providers or storage solutions alone will produce reliable intelligence, and why organizations should approach AI initiatives as iterative R&D projects rather than instant ROI efforts. He shares practical guidance on right-sizing storage to business goals, addressing the skilled trade gap through scalable systems, and the advantages of a cloud-first approach with sequestered, trusted data. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the ‘AI in Business’ podcast! This episode is sponsored by Pure Storage. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

  continue reading

1011 episodes

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Manage episode 502692257 series 79750
Content provided by Daniel Faggella. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Daniel Faggella or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Joe Lang, Vice President of Service Technology and Innovation at Comfort Systems USA, joins the AI in Business podcast to discuss why a clear data strategy must come before investing in storage infrastructure for AI adoption. Joe outlines the risks of assuming that cloud providers or storage solutions alone will produce reliable intelligence, and why organizations should approach AI initiatives as iterative R&D projects rather than instant ROI efforts. He shares practical guidance on right-sizing storage to business goals, addressing the skilled trade gap through scalable systems, and the advantages of a cloud-first approach with sequestered, trusted data. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the ‘AI in Business’ podcast! This episode is sponsored by Pure Storage. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

  continue reading

1011 episodes

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