Abstract
As Agentic AI moves from concept to implementation, enterprises face critical challenges in turning data into actionable intelligence. This roundtable brings together product managers and data scientists to explore how high-quality, diverse data forms the foundation of effective AI systems. We’ll discuss strategies to overcome data silos, ensure seamless pipeline integration, and align cross-functional teams to define clear project objectives.
The session will also address frameworks for bridging the gap between technical feasibility and business impact, ensuring that AI solutions deliver measurable value. Additionally, we’ll explore emerging trends in AI and data science that are shaping the future of Agentic AI, and how enterprises can keep their systems adaptable as business needs and data evolve.
Topics To Be Covered
Importance of high-quality, diverse data
Overcoming silos for seamless data integration
Aligning product managers and data scientists
Bridging technical feasibility with business impact
Ensuring adaptability as data evolves
Who Is This For?
Enterprise Product Managers
Data Scientists
Data Specialists
AI Specialists
ADDITIONAL INFORMATION
Time & Place
Wed, March 25
08:30 - 10:00
Grand Ballroom II
Roundtables & Theatre Seating
Max. Capacity: 256 Seats
Secure your seat – registration required.
Notes
✓ Chatham House Rule to Encourage Open Exchange
✓ No Recordings Allowed
✓ You Must Book This Session to Participate

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