Who Owns Your AI Transformation?
IT, Marketing, and Operations can all claim ownership of your AI strategy. Committees claim nothing. The right owner is defined by what they can see, connect, and serve.
IoT Field Notes: How to Identify Customer Value
A practical method for zeroing in on where value is created by digital products and services; it depends a lot on the Value Chain (how products eventually get to the End Customer). (Updated)
San Francisco – Speaking and Working
A working trip to San Francisco - I was asked to speak at the Argyle 2018 Leadership in Digital Marketing Forum, doing my deck on the Five Components of a…
IoT Field Notes: How to Identify Customer Value (Original)
A practical method for zeroing in on where value is created by digital products and services; it depends a lot on the Value Chain (how products eventually get to the End Customer).
New Way of Working Part 1 – and an Interesting New Direction
Sure, I've been mobile for some time, but it's late spring in Chicago, and after such a hard winter, I am trying to take better advantage of the balmy weather…
How to be Taken Seriously as a Business Partner
Part of my job consists of working with General Managers & Managing Directors, talking about process and technology projects, and how we might leverage internal and external resources. I am…
Marketing and IT Get Together: The Elephants in the Room
Marketing and IT may have strong opinions about each other - but there is value in understanding each other's point of view. Here are a number of hard truths that Marketing and IT have to realize and come together on.
AI Readiness Assessment: What Does Good Look Like?
Most AI readiness assessments measure technology. The AI Readiness Assessment measures your organization - across Five Building Blocks, with honest self-evaluation and real benchmarks.
Operations and AI Readiness: The Discipline You Can’t Skip
Operations brings the lean discipline that AI implementations desperately need. Waste elimination, metrics culture, and daily standups matter more than algorithms.
Finance and AI Readiness: Speaking in Facts
Finance has been speaking in facts - insisting on data rigor, measuring value, building structures that survive turnover - since before AI was a boardroom topic. Those aren't peripheral skills for AI readiness. They're foundational.