Aggregated enterprise architecture wisdom
Most organizations that do scenario planning have the same problem: the scenarios are good, but the decisions that follow don’t use them. Scenario planning is the work of building scenarios — modeling futures, assessing risks, and identifying what could change. Scenario acting is what’s supposed to come next: consulting those scenarios when a real decision…
By Robert J Romano, JD, LLM, St. Johns’ University Days after New York City celebrated their beloved Knicks capturing its first NBA Championship since 1973, the team’s ownership discovered that they may soon be playing […]
Q2 2026 was the quarter the market stopped asking whether AI belongs in enterprise decision-making and started asking a harder question: can you actually trust it? That single question shaped nearly everything we built, announced, and heard fr…
By Crystal Morin, Senior Cybersecurity Strategist, Sysdig AI investment isn’t slowing down. According to Accenture’s Pulse of Change report, 86% of C-suite leaders plan to increase AI spending in 2026, with most considering it a […]
Why the most dangerous knowledge in your enterprise is the…
By Paul Preiss, of Iasa Global I remember the first time I watched two senior architects argue for two hours about a system design and realize at the end they had been describing the same […]
Dr. Magesh Kasthuri Introduction For many years, enterprise transformation was largely framed around digitization, cloud migration, automation, and data-driven decision-making. Those priorities remain important, but they no longer define the frontier. …
Author Interview: Kannan Subramanian RBook Title: Risk Adjusted Operational Performance From the…
Most organizations have no shortage of observability data. What they often lack is a reliable way to connect technical signals with business outcomes. By Tatsiana Kakareka, Senior Solution Architect, IBA Group I have watched a […]
By Jim Hietala, Vice President, Sustainability and Market Development, The Open Group
Machine-Verifiable Schemas That Make the Open Footprint® Data Model Implementation-Ready
Standards are only as valuable as their ability to be put into practice. The Open Footprint® JSON Schema files bridge the gap between the Open Footprint® Standard’s logical data model and real-world technical implementation — providing machine-readable, validation-ready schema definitions that organizations can use immediately to build conformant emissions data systems.
By Dr. Masayuki Otani AI governance is often discussed through policies, review boards, model evaluation, audit logs, and oversight processes. These are useful, but they are also incomplete once AI systems move from advice into […]
Why the hardest problem in enterprise architecture isn’t technical at all By Nadzeya Stalbouskaya There’s a quiet truth most enterprise architects learn the hard way, usually a few years into a transformation programme that should […]