5 Questions to Help Your Team Make Better Decisions - (1) What Would Happen if We Did Nothing? (2) What Could Make Us Regret This Decision? (3) What Alternatives Did We Overlook? (4) How Will We Know If This Was the Right Decision? (5) Is This Decision Reversible?
AI Essentials for Tech Executives – O’Reilly - Good tables translating AI-tech-speak to business outcomes.
Are AI Development Frameworks The Foundation Of The Agentic World? - This is a really good overview AI middleware, all the stuff you need to surround model access to. As you see, it is A LOT. And still, it doesn’t include the runtime and operations stuff - day two. // Side-note: when you hear the phrase “agentic AI,” just think “using AI in apps."
Software Sourcing in the Age of AI - More B2B slop. // “The average software sourcing process involves 28 stakeholders and takes six months. That’s six months of manual research, vendor meetings, demos, internal debates, and ultimately, a decision that still may not be fully informed."
Lack of AI-Ready Data Puts AI Projects at Risk - If you’ve let your data lakes turn into data swamps your AI projects are going to go poorly. // “Gartner predicts that through 2026, organizations will abandon 60% of AI projects unsupported by AI-ready data."
Why I think AI take-off is relatively slow - My summary: humans resisting change is a bottleneck; also, humans not knowing what to do with AI; current economic models don’t can’t model an AI-driven paradigm shift, so we can’t measure the change; in general, technology adoption takes decades, 20 for the internet, 40 for electricity. // AI is a technology and is prey to the usual barriers and bottlenecks to mass-adoption.
The reality of long-term software maintenance - Ashley’s blog - “In the long run maintenance is a majority of the work for any given feature, and responsibility for maintenance defaults to the project maintainers”
How’s that open source licensing coming along? - ”The takeaway is that forks from relicensing tend to have more organizational diversity than the original projects. In addition, projects that lean on a community of contributors run the risk of that community going elsewhere when relicensing occurs.”
Top EDI Processes You Should Automate With API - Tech never dies. Helpful consequence: take care of it before it takes care of you.
Key insights on analytical AI for streamlined enterprise operations - ”The big issue, whether it’s generative or analytical AI, has always been how to we get to production deployments. It’s easy to do a proof of concept, a pilot or a little experiment — but putting something into production means you have to train the people who will be using this system. You have to integrate it with your existing technology architecture; you have to change the business process into which it fits. It’s getting better, I think, with analytical AI.”