$ grep --tag strategy questions.txt

Questions I help answer

Questions companies are asking themselves right now, each with a short note on how I would approach it. If yours is not here, ask anyway. ~/contact

• How can we use AI for our specific business case?

  I start with your processes and your data, not with the tools. Then we pick the one or two places where AI would make a measurable difference.

• What is the difference between AI and machine learning, and which one do we need?

  Machine learning is the part of AI that learns from data, and today's chatbots are one kind of it. Often a small, boring classifier beats a large language model. I will tell you when that is the case.

• Where are we paying for hype, and where do we get measurable value?

  An honest review of your current AI spending and projects: what is used, what is measured, and what could be stopped tomorrow.

• What is a sensible first AI pilot that can fail cheaply?

  One with real users, a narrow task, data you already have and a result you can check. Drafting replies to recurring requests is a classic.

4 questions