Aggregated enterprise architecture wisdom
Structured viewpoints can help architects identify requirements, answer design questions and guide AI-assisted development, according to Iasa Global founder Paul Preiss. Enterprise architects often begin projects by drawing diagrams or choosing familia…
Enterprise AI is gaining the context and authority to do real work, not just generate answers. As autonomy grows, CIOs must balance business value with governance, portability, and control.
An AI-generated discussion based on Eetu Niemi’s article The Quiet Death of Enterprise Architecture, exploring why EA functions lose relevance and how to prevent it.
New research finds that companies are generating code faster while struggling to keep pace with testing, oversight and software delivery. By Holt Hackney Artificial intelligence is helping software developers write code faster, but the technology […]
By Chris Gaffney, Georgia Tech Supply Chain and Logistics Institute and Zaid Duwayri, supply chain advisor During Chris’s years at Coca-Cola, one recurring question was how long it took for new information to make its […]
Enterprise architecture data can empower AI agents. At the SAP Transformation Excellence Summit, customers explained how they unlocked AI value to scale EA.
Enterprise architects are increasingly building their own tools with AI. Is this a welcome development for the profession, or are we creating a new generation of software nobody really needs?
The 8th ‘lab note’ on serious coding with LLMs. Observations on mental load and code quality risks.
By Paul Preiss, of Iasa Global I have been thinking a lot about tools lately. Mostly because every architect I talk to is trapped in one. You know the feeling. Your team bought a modeling […]
Gartner’s IT Symposium/Xpo 2026 made one thing unmistakably clear: artificial…
The seventh ‘lab note’. Watch a teaser video of what my serious LLM-coded application is capable of.
PMOs are responsible for the hard calls on investment and strategy, but much of their week goes to timesheets, status reports, and data cleanup. These 14 use cases, drawn from customers using Planview Anvi®, show how teams are handing that work to AI, from single questions to agents that run on a schedule.