My interest in analytics started with the stock market. For reasons not clear to me, I was just obsessed with market data, staring at stock charts, convincing myself I could discern some patterns in the data no one else saw.

My personal interest met a professional opportunity when I joined an investment planning software startup. I got to talk about markets and data every day, trying to convince very large institutions to take a chance on a small band of techno-optimists. Up next was a foray into prediction markets, aggregating opinions to create a form of market data that would help predict future events. I launched a political prediction market that proved intellectually challenging and afforded me my Warhol 15 minutes with a feature piece on the CBS Evening News.

Much of the work I’ve done over the years, including in consulting, sales, and marketing roles, involved user adoption in some form. Most recently, working for a data science consultancy, I’ve witnessed the collision of science-fiction-like technology, traditional organization structures, and ingrained human behavior averse to change. The ultimate adoption challenge.

But user adoption oversimplifies the challenge. There will likely be profound changes required of organizations, a transformation unlike any of us have experienced. The impact on productivity of solutions like agentic AI will likely be significant. However, the adoption challenge will be non-trivial.

My focus is on helping organizations adopt, scale, and derive value from Agentic AI, preparing them for the next wave of AI-enabled automation.

More on my background here.