Kevin has spoken in more than 50 cities across North America, Europe, and Asia, from enterprise leadership teams to global conferences, executive education programs, and policy organizations, on what it actually takes for organizations to think and decide well when their tools keep getting smarter.
Across your organization, decisions that used to belong to people are quietly being handed to machines that show up as defaults, scores, and confident recommendations. None of them announce themselves as decisions, so the handoff happens without anyone choosing it, and by the time the cost appears, no one can say who actually decided. This keynote shows leaders how to see that handoff clearly, tell which calls belong to the machine and which belong to a human, and leave with a simple five-part check for keeping judgment where it counts.
Most organizations don't have a data problem. They have a judgment problem. After decades of investment in data infrastructure, dashboards, and analytics platforms, decision quality has barely moved. This keynote unpacks why and what it takes to close the gap between having information and actually deciding well with it.
Generative AI shifts what gets automated from execution to judgment itself. The organizations that thrive will not be the ones with the most powerful AI; they will be the ones whose people retain the cognitive capabilities to use AI well. This talk explores the human skills that matter most as AI becomes embedded in everyday decisions.
An organization's decisions are not just made by people. They are shaped by the structures, signals, and habits that determine what gets seen, what gets discussed, and what gets acted on. This keynote treats decision-making as something organizations can design and walks through what good design looks like.
For decades, assessment defaulted to what was cheap to score: multiple choice. The problem is that recognizing the right answer on a page is not the same as reasoning your way to it, and organizations that need evidence of judgment, not recall, have had no scalable way to measure it. Learn how LLMs remove that constraint, not by grading correctness, but by making rubric-based evaluation of open-ended reasoning economically viable for the first time. Kevin walks through what a reliable rubric actually requires, what separates a defensible system from a risky one, and where the line falls between formative feedback and high-stakes scoring.
Technology transformations stall, not because the technology fails, but because the organizational systems around it weren't designed to change. This keynote explores the cultural, cognitive, and structural foundations that determine whether AI and digital investments actually produce the outcomes leaders expected.
Data literacy is not the ability to read a chart. It is the cognitive habit of distinguishing signal from noise, evidence from anecdote, and confidence from certainty. This talk reframes data literacy as a strategic organizational capability and shows leaders how to build it deliberately.
Some organizations sense change earlier, decide faster, and adapt better than others. The difference is rarely about IQ or resources, it is about how the organization itself thinks. This keynote treats intelligence as a systems property and shows leaders how to build organizations that learn at speed.
"LOVED your session! I shared in my survey that it should be required viewing. I heard way too many comments in other presentations filled with bias and unfounded causal assumptions. You were spot on."
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