Executive Dinner Engagement
AI Readiness: Why Projects Fail — The Failure Is in the Foundation: Data Quality, Not the Model
000 days 00 hours 00 minutes 00 seconds
Dallas, TX, USASeptember 17, 20266.00 pm - 9.30 pm
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Synopsis
AI projects rarely fail because the model is not ambitious enough. They fail because the data foundation is not ready. With 43% citing data quality as a top AI obstacle, leaders must look beyond algorithms and address the operational realities that determine whether AI can move from pilot to production: trusted data, consistent governance, privacy controls, and reliable access. This session explores how organizations can strengthen AI readiness by fixing the foundation first—so models, analytics, and AI initiatives have data they can trust.
Discussion Topics
• Why AI projects fail
• The reasons AI pilots stall
• AI readiness underneath the buzzword
• The biggest blocker to AI success right now... Data quality
• How data governance decides whether AI scales or dies in pilot
Speakers
Larry Morgan
Manager Presales Solution Engineers, Central and Canada
Agenda
6.00 pm - 7.00 pm
Drinks Reception
7.00 pm - 7.20 pm
Introduction to Delphix
7.20 pm - 9.00 pm
Dining experience with table discussions
9.00 pm - 9.30 pm
Closing remarks & key takeaways
Location
At the heart of Dallas
Fearing’s Restaurant redefines American cuisine with bold Southwestern flair, led by the visionary talent of Chef Dean Fearing. Known for its refined yet approachable dishes, the restaurant celebrates fresh, seasonal ingredients and a passion for flavor. With a focus on genuine hospitality and culinary excellence, Fearing’s delivers a dining experience that’s both memorable and uniquely its own.
Next Steps
Synopsis
AI projects rarely fail because the model is not ambitious enough. They fail because the data foundation is not ready. With 43% citing data quality as a top AI obstacle, leaders must look beyond algorithms and address the operational realities that determine whether AI can move from pilot to production: trusted data, consistent governance, privacy controls, and reliable access. This session explores how organizations can strengthen AI readiness by fixing the foundation first—so models, analytics, and AI initiatives have data they can trust.
Discussion Topics
Speakers
Larry Morgan
Manager Presales Solution Engineers, Central and Canada
Agenda
6.00 pm - 7.00 pm
Drinks Reception
7.00 pm - 7.20 pm
Introduction to Delphix
7.20 pm - 9.00 pm
Dining experience with table discussions
9.00 pm - 9.30 pm
Closing remarks & key takeaways
Location
