The Warehouse Reset: Why Your Current Data Stack Can’t Handle AI

Is your legacy data stack holding back your AI ambitions?

As enterprises pivot toward agentic AI and high-concurrency analytics, traditional data warehouses are hitting a wall. IDC research reveals a significant market shift: organizations are moving away from fragmented systems and toward converged transactional, analytical, and AI workloads on governed platforms.

Join Dave Stone (EDB) and Devin Pratt (IDC) for this thought leadership webinar as they unpack the strategic imperatives driving the "Warehouse Reset." We will explore why modernizing your data foundation doesn't require a disruptive "rip-and-replace" approach, but rather a workload-aware strategy that prioritizes cost predictability and data sovereignty.

What You’ll Learn:

• The Power of Convergence: How unifying workloads reduces data movement and accelerates time-to-insight.
• Sovereignty by Design: Why hybrid architectures have become the default for balancing performance with strict governance requirements.
• Economic Control: Strategies for sustaining AI experimentation at scale through predictable, capacity-aligned cost models.
• Architectural Flexibility: How to adopt an incremental modernization path that evolves with your business operations.

Event Details

• Duration: 25 Minutes
• Format: Expert Q&A / Interview

Build a future-proof data foundation:  All registrants will receive a complimentary hardcopy of the O’Reilly book: Building a Data and AI Platform with PostgreSQL.