Why AI Adoption Stalls: Data Management for Companies & Governments

Most organizations try to implement AI before fixing their data strategy. When data is fragmented across systems, locked in silos, or poorly governed, even the most advanced AI models struggle to deliver insightful results. Tyler Jackson, SLED Account Executive at Databricks and former MLB pitcher, breaks down why successful AI adoption starts (and ends) with proper data management. He also explains how even the oldest entities — including state and local governments with decades of data — can learn to manage data effectively and integrate AI quickly. Plus, Tyler shares how AI technology is used in MLB stadiums. Key TakeawaysThe role of data strategy in successful AI adoption Why companies are shifting to hybrid cloud data architectures Real-world examples of AI and data in government and enterprise Practical advice for leaders starting their AI transformation journey Importance of data management in professional and collegiate baseball Subscribe for more AI and digital transformation insights   ⁠⁠⁠https://www.youtube.com/@TheTrack2AIPodcast⁠⁠⁠   Comment your greatest challenge with your current payment system.   Learn more about Chetu’s Track2AI® Framework: ⁠⁠⁠https://track2ai.chetu.com/⁠⁠⁠    Follow The Track2AI Podcast on ⁠⁠⁠YouTube⁠⁠⁠ | ⁠⁠⁠LinkedIn⁠⁠⁠ | ⁠⁠⁠Instagram⁠⁠⁠ | ⁠⁠⁠TikTok⁠⁠⁠   Guest: Tyler Jackson Host/Producer: ⁠⁠⁠⁠⁠⁠Amber Amortegui Editor: ⁠⁠⁠Pragyan Medhi⁠⁠⁠  Thumbnail: Vimlendu Vimal Powered by ⁠Chetu⁠ | AI & Digital Transformation Solutions