Session Outline
Three out of four companies are betting big on AI – but most are digging on shifting ground. In this $100 billion gold rush, none of these investments will pay off without data quality and strong governance – and that remains a challenge for many organizations. Not every enterprise has a solid data governance practice and maturity models vary widely. As a result, investments in innovation initiatives are at risk of failure. What are the most important data management issues to prioritize? See how your organization measures up and get ahead of the curve with Actian.
Key Takeaways
- Understand the Roadblocks – Discover the most common data challenges that put AI projects at risk.
- – Assess Your Organization’s Maturity – Learn where companies are struggling and how your approach compares.
- Get Practical Insights – Identify the data management priorities that drive real AI impact.
- Look Beyond the Hype – Separate AI reality from fiction and focus on what truly matters for success.
