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

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

0 Ratings
0
Episode
1005 of 1058
Duration
16min
Language
English
Format
Category
Economy & Business

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.


Listen and read

Step into an infinite world of stories

  • Read and listen as much as you want
  • Over 1 million titles
  • Exclusive titles + Storytel Originals
  • 7 days free trial, then €9.99/month
  • Easy to cancel anytime
Details page - Device banner - 894x1036
Cover for How Data Ownership Drives Trustworthy AI Models - with Joe Lang of Comfort Systems

Other podcasts you might like ...