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AI represents a fundamental shift in how data is leveraged for competitive advantage. Yet, many enterprises are struggling with fragmented systems, siloed data, inconsistent governance and aging infrastructure. Most data architectures were never built for this level of intelligence or scale. The result is growing "data debt" that makes innovation harder when it's needed the most.
To unlock AI's potential, organizations must reimagine how data is captured, connected and consumed across the business. That means building a foundation where data is clean, contextual and continuously available for machine learning, analytics, and automation.
To help data and technology leaders navigate what it takes to build an AI-driven data strategy fit for the future, DBTA is kicking off 2026 with a special roundtable on January 15th.
What You'll Learn:
- Modernizing for AI: Transitioning from legacy data systems to AI-driven architectures
- Smarter Governance: Balancing innovation with compliance and security in an AI-first world
- Real-World Roadmaps: How top companies are reengineering their data strategies for measurable impact
- Tech in Action: Vendor solutions and frameworks enabling faster, smarter transformation
Register Now to attend the webinar From Legacy to Leading: Building an AI-Driven Data Strategy. Don't miss this live event on Thursday, January 15, 11 AM PT / 2 PM ET.
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