May 6
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What does it actually take to make AI work at enterprise scale? In this TDWI webinar, experts from TDWI, Actian, and Databricks explore one of the biggest blockers to AI success: delivering trusted, reliable data that AI systems can depend on. Because the truth is simple—AI is only as good as the data behind it. Watch the webinar to learn: ➛Why data observability is essential for AI—not optional ➛How data quality issues lead to hallucinations and failed AI initiatives ➛The importance of data governance, lineage, and semantics ➛Why many organizations struggle to scale AI—and how to move forward ➛How to transition from AI pilots to production-ready systems Grounded in TDWI research and real-world experience, this session highlights the gap between AI ambition and execution—and how to close it. A strong data foundation—built on observability, governance, and quality—is what separates success from failure. RESOURCES & LINKS: 🔹Data Observability: https://www.actian.com/data-observability 🔹Data Intelligence: https://www.actian.com/data-intelligence/platform 🔹Request a personalized demo: https://www.actian.com/data-intelligence/demo 🔹Take a tour: https://www.actian.com/data-observability/product-tour 🔹What is a Data Observability Platform?: https://www.actian.com/blog/data-observability/what-is-a-data-observability-platform/ 🔹What is Data Intelligence?: https://www.actian.com/blog/data-intelligence/what-is-data-intelligence/ 🔹Subscribe to our channel: https://bit.ly/4lKrc3Y 🔹Find us on LinkedIn: https://www.linkedin.com/company/actian #DataGovernance #DataObservability #AI #DataQuality #DataEngineering #DataIntelligence #Actian #Databricks #TDWI