In a 1993 Seinfeld episode, Jerry describes the psychological leverage that doctors use on their patients. They tell you to go into the little room and take your pants off and wait. Then, “anybody that comes in with pants on seems like they know what they’re talking about. In any Read more
Disruption is imminent. Is your company prepared? Your IT department? You? What do bank tellers, assembly line workers, retail clerks, blacksmiths, and travel agents have in common? They have all been largely displaced by technology. Application developers are next. In just a few years Generative AI will produce most of Read more
For as long as I can remember, I’ve had a very simple metric to assess how serious a company is about its information management practices: The number of software releases delayed solely because the data has not been properly curated. I have yet to see a single example. Software releases Read more
Everybody likes a pithy definition. Marketers describe them as “sticky,” meaning that they’re easy to remember. Of course, that doesn’t always mean they’re useful or completely accurate. Information Management has a couple. Metadata is almost universally described as “Data About Data,” but I’d be willing to bet that you rolled Read more
For those who don’t want to click from page to page, here are all five articles in the Data Chasm series. In it, we explore the question of why we continue to see overwhelming numbers of analytics, artificial intelligence, machine learning, information management, and data warehouse project failures despite the Read more
Relating the challenge of launching a new corporate process to a flywheel is a tired, overused metaphor. Probably because it so often applies. Like here. It’s been hard getting started. Probably several false starts. Progress has been agonizingly slow. But now you’ve found a new ally. Hopefully several. They showed Read more
I mentioned in my Christmas article that it would be interesting to see what ChatGPT would come up with for the 12 days of a data focused Christmas. We’ve been snowed in here the past couple days, so I thought it would be fun to try it out. I prompted Read more
If you’re just joining, welcome. Before launching in at the middle, it might be useful to go back and read Part 1, Part 2, and Part 3. I’ll wait. Recapping very briefly: It seems that most everybody has become comfortable with the notion that the overwhelming majority of data warehouse, Read more
This tale may sound familiar to companies that have not yet crossed the Data Chasm (and maybe even to some that have). A project team was modernizing a major operational system. One that had been written decades earlier. One where nearly all the developers and subject matter experts with knowledge Read more
It all seems so easy. Companies are recognizing that the accuracy of artificial intelligence and machine learning applications is directly related to the quality of the data used to train the models. Obviously, you want to improve the quality of your company’s decisions, so it makes sense to improve the Read more