AI projects don’t fail because of models—they fail because data lacks context, trust, and real-time relevance.

In this Think spotlight session, leaders from IBM, Confluent, and industry share how they’re rethinking data architectures to support AI that actually works in production.

What you’ll take away

• Why fast data alone isn’t enough for AI outcomes
• How context (metadata, lineage, governance) improves decision quality
• Ways to move beyond batch vs. streaming tradeoffs
• How to turn streaming data into reusable, governed data products

Speakers

• Scott Brokaw, Vice President, Product, Data Integration, IBM
• Sean Falconer, Head of AI, Product at Confluent, Confluent
• Joe Green, Vice President of Infrastructure, AT&T
• Thamer AlHammad, Senior Vice Governor of Consumer Affairs, Saudi Electricity Regulatory Authority

Access the Think spotlight session