Express — 
Context Is the Differentiator, Not the Model
Francois Lopitaux, SVP of Product Management at ThoughtSpot, explains why context, not models, is the key to trusted, scalable AI and analytics.
15 AI Agents and Nothing to Show for It
Yorck F. Einhaus, former Global CDO at Liberty Mutual and Farmers Insurance, explains why enterprise AI fails without strong data foundations.
The ‘No More Individual Contributors’ Framework: AI Team Management
Michael Domanic, VP at UserTesting, explains how enterprises run AI teams of three to drive transformation and measurable ROI.
95% Prompt Cache Hit Rate: How LLM Cost Reduction Actually Works in Production
Rowan Trollope, CEO of Redis, explains how teams hit 95% cache and cut LLM costs 70% using agent memory, semantic layers, and production-grade AI infrastructure.
How Swarm Intelligence Solves Routing Problems in 20 Seconds Without Training Data
Fred Gertz of Collide Technologies explains how swarm intelligence solves NP-hard routing and scheduling problems in seconds, without training data or LLMs.
The Delegation Test For AI: If An Intern Can’t Succeed With Your Context, Neither Will Your Model
GrowthX founder Marcel Santilli explains the delegation test for AI and why poor context, not weak models, is the real reason AI initiatives fail to scale.
The Data Governance Gap That’s Blocking Your AI Production Deployment
Ortecha’s Stephen Gatchell explains the data governance gap blocking AI production, why unstructured data breaks legacy models, and how data product frameworks enable scale.
Building AI Agents That Internalize Corrections
BigPanda’s Alexander Page shares how his team designs AI agents that internalize corrections, evaluate tool use, and scale reliably in production.
“AI Build, Human Verify, AI Refine”: Rethinking IT Engineering at CurieTech
Ashish Thusoo breaks down how CurieTech AI uses benchmarks-first discipline and AI-driven build loops to achieve 70–80% productivity gains.
Why AI Training Fails and The Persona-Based Enablement That Works
Databricks’ Robin Sutara reveals why generic AI training doesn’t stick and how persona-based enablement drives real adoption.
Ready to Conquer Data Variety?
Turn data chaos into structured intelligence today!
