We’re excited to bring you a new episode of Executive Spotlight, our series featuring Denodo executives and thought leaders shaping the future of data and AI.
In this episode, Ravi Shankar, Senior Vice President & Chief Marketing Officer, and Alberto Pan, Executive Vice President & Chief Technical Officer, walk us through the first three predictions from Denodo’s 2026 Data Predictions Report. Together, they explore the architectural and strategic shifts enterprises must make as AI evolves from simple copilots to fully autonomous operators.
Key Insights from This Episode
- Prediction #1 - Autonomous AI Becomes Operational: AI is moving beyond experimentation into agentic, decision-making roles embedded in day-to-day operations. However, this shift will only succeed for organizations with real-time, trusted, and semantically governed data that allows autonomous systems to act safely and reliably.
- Prediction #2 - Logical Data Management Surpasses the “One Big Lakehouse”: As multi-cloud and multi-lakehouse environments become the norm, centralized architectures struggle to scale. Logical Data Management emerges as the most effective way to unify, govern, and access distributed data - without costly replication or rigid consolidation.
- Prediction #3 - AI-Ready Data Becomes a Board-Level Priority: Despite growing investment in AI, most organizations continue to struggle to move use cases into production. As a result, leadership teams are shifting focus from experimenting with AI tools to strengthening the underlying data foundation required to deliver trusted, scalable, and measurable AI outcomes.
Why This Matters
As the industry transitions from AI hype to practical, governed AI outcomes, Logical Data Management provides the foundation needed for real-time intelligence, autonomy, and business value.
Tune in now to learn how these predictions will shape enterprise data strategies in 2026 - and how your organization can prepare.
Visit the Denodo Data Bites Podcast Series page to check out more episodes.
