Stop Restarting Your AI Initiatives The model release calendar is not your project plan. You are not behind on AI. You are restarting on AI. I say that to leaders who tell me they feel behind, which is most of them right now. They are anxious about the next model. They are anxious about whatever […]
In this week’s Data Diaries, Enterprise AI part 3, last week’s governance-illusion frame leads straight here: the audit trail you owe the regulator starts with data you can actually account for. The cheapest piece of your 2026 AI stack is the model. The expensive piece, the one that shows up in audits, board meetings, and […]
You’re Not Stuck in AI Pilot Purgatory. You’re Hiding In It. A pilot is not a commitment, and that is the whole problem. You haven’t been stuck in pilot purgatory. You have been hiding in it. I want to say that as plainly as I can. The pilots are not the problem. Most of them […]
In this week’s Data Diaries, Enterprise AI part 2, we move from measurement discipline to the governance layer that makes that discipline defensible to a regulator. Discipline alone will not satisfy the auditor, and enforcement turned operational. The Senate killed the proposed 10-year state-AI moratorium on July 1, 2025, which retired “wait for Washington” as […]
The Job AI Can’t Do Block let almost 4,000 people go in February. That’s not a typo. They went from roughly 10,000 employees to under 6,000 in a single cut, and Jack Dorsey said the reason was AI. Atlassian cut 10% of its global workforce a few weeks later, citing the “AI era.” Baker McKenzie, the law […]
So What? Marketing Analytics and Insights Live airs every Thursday at 1 pm EST. You can watch on YouTube Live. Be sure to subscribe and follow so you never miss an episode! In this episode, Katie, Chris, and John dissect theoretical AI usage and contrast academic research with practical implementation. You will uncover hidden capabilities […]
A Realistic 90-Day AI Plan This is the last issue in the series. Thank you for sticking with me through the last three pieces. You’ve learned more about the unglamorous side of AI work than most in our field are willing to share. That matters. Quick recap of where we’ve been: Issue 1: The gap isn’t […]
In this week’s Data Diaries, we’re continuing our series at looking at AI command line tools to help us get the most out of the data we have, using agentic AI systems like Claude Code or OpenCode. In issue one, we looked at installing package management software such as Homebrew and Chocolatey. In issue two, […]
Stop Chasing Use Cases Two weeks ago, I wrote about the strategy/execution gap, especially use cases. Last week, I wrote about why most AI projects start in the wrong place — at the tool, instead of at Purpose. Today, I want to talk about the single most common form of “execution” that isn’t really execution […]
You’re Starting in the Wrong Place Last week I wrote about the gap between having an AI strategy and actually doing anything with it. The response was a lot of variations on the same email: “Yes. This is us. Now what?” So let’s get into it. Let’s begin with the most common mistake I see. […]
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