Listen to this article: We walked through the door of an otherwise unremarkable industrial park suite into a gymnasium-sized room packed full of shelves. The shelves were packed floor-to-ceiling with banker boxes. The banker boxes were packed full of documents. Back in the early 1990s, two large aerospace companies got Read more
Listen to this article: In September and October, Salesforce, Bosch, Nestle, Target, UPS, and Amazon announced layoffs totaling nearly 100,000 positions. The rationales most often given were workforce reduction and AI. The 14,000 cuts at Amazon got particular attention. After all, Amazon is considered a technology leader and a bellwether Read more
Listen to this article: OK. You’ve convinced management to support a Data Products initiative. Maybe you want to do AI and not be one of the 95% that fail or underperform. Maybe you have an existing analytical environment that’s like the house at the end of the street that hasn’t Read more
Listen to this article: The vocabulary generator has been working overtime. Just last week I talked about Data Contracts. Here’s another: Data Trust. I predict that through 2028, 80% of S&P 1200 organizations will become curious about the meaning of Data Trust. Why? Because among The Gartner 100 Data, Analytics and Read more
Listen to this article: Here we go again. We seem to have an irresistible reflex to prepend “data” to every noun, verb, and adjective in the dictionary. Here’s another: Data Contract. My first thought, when I heard about Data Contracts, was that we’re creating a new term to describe something that Read more
Listen to this article: Each spring in elementary school, as soon as the weather turned nice enough to be outside, we would start the Physical Fitness unit in Gym class, culminating in the Presidential Physical Fitness Award tests. I’m sure that many of you remember practicing pull-ups or flexed-arm hang, Read more
Listen to this article: Do or do not. There is no try. – Yoda I’ve seen dozens, no hundreds of Data Governance articles, books, classes, videos, presentations and conferences. You’d think that we’d have it right by now, but we seem to simply be perpetuating what isn’t working. Enough excuses. Read more
Listen to this article: When it comes to data, there are two types of companies: those that are aware of their data quality issues and those that aren’t looking. Does your CEO know how bad your data quality is? Hopefully not, because that means that you haven’t had a negative Read more
Listen to this article: Last week I started looking at Artificial Intelligence from the perspective of the Enterprise Architect. Best practices covered included: maintaining a clear line of sight from the AI deliverable to a business objective and its tangible business value; being realistic in your expectations, especially with what Read more
Listen to this article: This past week I spent some time thinking about AI from the perspective of an Enterprise Architect. Is the Enterprise Architect also the Agentic AI Architect (or just AI Architect)? Perhaps in some organizations, but I would assert that AI Architect is more analogous to an Application Read more