DataDriven Chicago Masterclass
September 9, 2026
Leadership must evolve
Rishad Tobaccowala opened the day with a challenge to enterprise leaders: AI isn’t just another technology cycle — it’s a business and leadership transformation. Before any organization can extract value from AI, its leadership has to evolve first.
Better decisions begin with better thinking about data
Sebastian Wernicke made the case for moving beyond dashboards and toward truly data-inspired decision making. Better decisions don’t start with more data — they start with better thinking about the data you already have.
We don't just move data; we move human possibilities
Harveer Singh explored what it means to build a culture of radical data integrity — the unglamorous, foundational work that makes business-ready data possible, and makes AI possible after it.
Creating a culture of radical data integrity builds the foundations for AI
Tyler Triemstra tackled the agentic era head-on: when data moves, so do consequences. Trust, accountability, and governance can’t be afterthoughts fixed after something’s gone wrong — they have to be prerequisites for letting AI act on your behalf.
Context transforms trusted data into enterprise intelligence
Kash Mehdi showed how contextual intelligence is becoming the operating system for enterprise AI — the layer that turns trusted data into real enterprise intelligence.
Agentic Intelligence: Strategy at the speed of data
Manish Sood closed the learning journey with a look at strategy at the speed of data — how agentic intelligence lets organizations make their data work together, and work fast.
Enterprise Architecture connects it all
Harish Parmar tied it all together: data, business context, applications, and AI, connected into a coherent foundation for the autonomous enterprise.