From Delayed Data to Real-Time Decisions: Making Al Work with What's Happening Now

Enterprise AI delivers its greatest value when decisions can reflect what is happening now—not what the data showed hours or days ago. In this AI Enterprise Conference 2026 session, Tim Richer of IBM explores the shift from delayed data to real-time decision-making and what it means for organizations putting AI into production. “From Delayed Data to Real-Time Decisions: Making AI Work With What’s Happening Now” focuses on the connection between timely enterprise data and operational AI. As AI systems become embedded in business processes, the freshness and availability of the data informing those systems become increasingly important to the decisions they support. The session brings a data and AI product perspective to a core production challenge: enabling AI systems to work with current information. For enterprise data, AI, and technology leaders, the topic connects real-time data capabilities with the broader architecture and data foundations required to operationalize AI at scale. KEY TAKEAWAYS • Explore why timely data matters for enterprise AI and real-time decision-making • Examine the shift from delayed data toward AI systems informed by what is happening now • Consider the role of enterprise data foundations in supporting production AI applications • Understand the connection between data availability, AI systems, and operational decision-making • Gain a product perspective on making enterprise AI more responsive to current business conditions SPEAKER 📢Tim Richer, Director, Product Marketing, Data and AI | IBM ABOUT AI ENTERPRISE CONFERENCE 2026 Hosted by Data Science Connect on September 1, 2026 in New York City, AI Enterprise Conference 2026 brings together Fortune 500 decision-makers, enterprise data and AI leaders, and leading solution and service providers to explore how organizations can build, scale, govern, and operationalize AI. The conference theme, “AI for Enterprise: From Pilots to Production,” focuses on the systems, governance, data foundations, platform strategies, and economics required to move enterprise AI beyond experimentation and into scalable, secure, production-ready environments tied to real business outcomes. Watch the full session to explore how real-time data can support more timely enterprise AI decisions. Subscribe to the Data Science Connect YouTube channel, explore more AI Enterprise Conference 2026 sessions, and discover additional insights from enterprise data and AI leaders.