Why The Semantic Layer Is The Most Underrated Investment In Enterprise Analytics

The semantic layer converts raw data into shared business language. When it’s missing or unowned, every downstream tool amplifies the disagreement.​

Why Generic AI Alone Falls Short On Property Data

Generic AI, however large and powerful it might be, is not a substitute for a carefully crafted automation pipeline.

CEO Gap Stalls AI Adoption As IBM Finds Only 25% Of Workers Use It

The CEO gap is stalling AI adoption. Executives average 1.5 hours a week with AI, and only 25% of workers use it regularly per IBM. Here are five moves to close it.

Preparing Now For The Technology Shifts Ahead In 2027

With 2027 planning getting underway, leaders have an opportunity to identify where their systems, skills and budgets may need to evolve before next year’s demands arrive.

​AI Can Recommend The Decision, But Leaders Still Own The Outcome

AI can recommend the decision, and while it may increasingly execute the decision, leaders still own the outcome.​

Why A Crypto Card Might Be A Leaking Bucket

“Probably” is not a standard this technology was supposed to leave us with.​ ​

Marshall Bromley 150 Brings 360-Degree Sound In A Party Speaker

The new Bromley 150 is a portable Bluetooth party speaker with high-volume sound and dynamic lighting and a smaller footprint than Marshall’s other party speakers.

Why AI Economics Needs To Be Included In The Equation

Tokens, API calls and GPU hours matter to engineers. They don’t tell a business leader what was accomplished.

AI Won’t Replace People—It Will Replace Broken Handoffs

Rather than replacing workers, one opportunity AI offers is to strengthen the handoffs between them.

The Next Challenge In Autonomous Enterprise Systems Isn’t Intelligence—It’s Coordination

The next challenge in enterprise automation is coordinating decisions across systems with different objectives, constraints and priorities.