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
Philadelphia, PA, USASeptember 23, 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
Kay Hogan
Area Vice President, North America
Susan DiFranco
Account Executive
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 Philadelphia
The Back Room is the private dining venue for High Street Hospitality Group, conveniently located in Center City, Philadelphia. Whether a celebration, corporate dinner, or intimate gathering — we provide the setting, service, and cuisine that transforms an occasion into a memory.
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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
Speakers
Kay Hogan
Area Vice President, North America
Susan DiFranco
Account Executive
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
