Shashank Kadetotad
Sr. Global Director of Enterprise Data Science and AI
Mars
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Mars
Anqi Zou
SVP, Head of Fair & Responsible Banking Analytics
Truist
Julie Elmore
SVP of Technology
Inspire
Srini Masanam
Global Head of Data Quality & Governance
Citi
Kelly O’Brien
VP of Product Strategy, Commercial Card
JPMorgan Chase
Nasim Khoshkhou
SVP, Analytics and Data
Synchrony
Felipe Archilla
Director, Digital Workplace Analytics
Coca-Cola
Jyoti Mohapatra
General Manager · Data & AI Architecture
Delta
Gopi Mannava
State of Connecticut
State of Connecticut
Rachna Narem
Executive Vice President
Omnicom
Joshua Ainsley
Senior Director, Head of Data Science
New Balance
Sergey Fogelson
VP, Head of Data Science
TelevisaUnivision
Faizan Javed
Sr. Director · Data Science & Engineering
Kaiser Permanente
Sreeja Kaimal
Senior Director Enterprise Data and Machine Learning
Capital One
Nathan Ghadirifard
VP, Business Data & Architecture
Waystar
Claire Dulaney Willet
Global Executive Director of Data & Analytics
Condé Nast
Srijani Dey
Senior Director, Strategic Programs
BlackRock
Ravikanth Gadicherla
Director Analytics
Mondelez International
Isaac Wagner
Vice President, Analytics and Insights
Memorial Sloan Kettering Cancer Center
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Context Over Compute: The Overlooked Lever for AI ROI
A conversation with leaders from SAP and AtScale on how context engineering drives measurable impact.
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The Single Source of Truth for Agentic AI | SAP, Turgon, Skyflow & AtScale
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Keynote: Smarter Agents Start with Smarter Data: Delivering Real-Time Data for AI
COLLIDE AI Conference · 23 min
The Self-Funding AI Strategy: How AI Pays for AI
The AI Enterprise Conference · 22 min
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Context Over Compute: How a Semantic Layer Improves AI ROI
AtScale's Mark Palmer argues that enterprises get more AI value from better context than from bigger models. He points to benchmark results on semantic layers, the four most common sources of AI errors and the case for testing AI accuracy every day.
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