Does AI Fundamentally Change Data Architectures?

Join the Insight Jam today! — https://insightjam.com/ What challenges exist in creating unified data architectures? What role do semantic layers play in modern data architectures? Our data architecture experts discuss how AI is fundamentally transforming enterprise data systems. The panel explores why organizations need to bring AI operations closer to data, the growing importance of semantic layers, and the rise of graph-based approaches. They address challenges in metadata management, data fragmentation, and the need for shared language across organizational silos. Essential viewing for data professionals planning AI-ready architectures. This is a key takeaway from the Insight Jam LIVE! 2025 panel, "Scaling AI: Building Data Architectures for the Future". Check out the full discussion here: https://youtu.be/-fDsfDVCTNg Panelists: Wayne Eckerson https://www.linkedin.com/in/weckerson/ - President, Eckerson Group @eckersongroup1288 Andreas Blumauer https://www.linkedin.com/in/andreasblumauer/ - SVP of Growth, Graphwise.ai @andreasblume9006 Carl Olofson https://www.linkedin.com/in/carlolofson/ - Independent Analyst - DBMS, DBMSGuru Richard Winter https://www.linkedin.com/in/richardwinter/ - Chief Executive Officer, WinterCorp Tom Redman https://www.linkedin.com/in/tomredman/ - President, Data Quality Solutions @tomredman6829 Wei Manfredi https://www.linkedin.com/in/weimanfredi/ - VP of Global Architecture, Data & AI McDonald's @McDonalds 0:00 AI's Impact on Data Architectures 0:39 Bringing AI Closer to Data 1:22 Enterprise Data Consolidation 2:05 Embedding AI Functions 3:32 Scaling for Increased Usage 5:02 Beyond Relational Databases 5:34 Semantic Layers Over Data Silos 6:53 Graph-Based Integration 8:47 Creating Shared Language 10:25 Graph Models for Metadata 12:14 Digitizing Human Knowledge