The AI-Data Readiness Paradox

The AI-Data Readiness Paradox: Organizations recognize the value of AI in becoming “data-driven”, but lack the foundational data infrastructure to effectively implement AI. This creates a challenging cycle: they need better data systems to implement AI, and AI could significantly improve their data systems.

Join us for an eye-opening webinar that delves into the findings of our latest research on AI strategies for data discovery, readiness, and analysis. We'll explore:

1. Why 27% of companies still operate without a data catalog, and how this impacts AI readiness

2. Where most organizations fall on the scale from "not at all ready" to "already using" generative AI tools

3. The confidence crisis on why 35% of leaders feel confident their data catalog can support their AI strategy

4. With 50% of organizations still in the consideration stage for AI implementation, we'll examine the barriers and opportunities ahead

5. Learn where AI could have the most significant impact on improving data access and analysis in your organization

Once and for all, align your data aspirations with actionable steps. Don't miss this opportunity to benchmark your organization against industry trends and gain a competitive edge with AI that actually works.