What Is Enterprise Architecture—and Where Should It Stop?
EA becomes more useful when its meanings and boundaries are clear: what it describes, how architects support change, and what belongs to other disciplines.
Precision Auditing: Methodologies for Expert-in-the-Loop Verification of Retrieval-Augmented Generation (RAG) Systems
By Joydeep Sarkar, of Wipro Ltd Abstract Retrieval-Augmented Generation (RAG) has emerged as the industry standard for grounding Large Language Model (LLM) outputs in proprietary data; yet, the persistence of “grounded hallucinations”, wher…
What the OpenAI-Hugging Face Breach Reveals About AI Governance Failures
By Holt Hackney A series of recent AI security lapses, including the OpenAI-Hugging Face incident, is raising a broader governance question: Can technology companies adequately oversee the increasingly powerful AI systems they develop, or will […]
Beyond the Box: How EA Tool Vendors Kickstart Your New Enterprise Architecture Practice
Starting a new Enterprise Architecture (EA) practice is a major organizational shift, not just a software installation. Investing in a new platform for enterprise architecture gets the technology right, but that’s only half the battle.
The Anthropomorphism Trap in AI Governance
Why architecture and governance functions need an accurate model of what AI systems actually are before they can be trusted, controlled, or blamed. By Stuart Dee There is a seductive habit, in boardrooms and server […]
Colorado OIT Names Casey Cook as Principal Director of Enterprise Architecture
The Colorado Governor’s Office of Information Technology has appointed Casey Cook as principal director of enterprise architecture, a newly created leadership position focused on enterprise technology standards, governance and modernization. Cook…
The Resolution Boundary Problem: The Missing Link Between AI Governance and Real World Execution
By Ashokkumar Ganesan, AI Governance & Decision Architecture Executive Summary Enterprises today are investing heavily in AI governance: policies, principles, committees, risk frameworks, and compliance programs. Yet AI systems continue to fail in …
AMD’s AI Strategy Is Shifting From Chips To Systems
At AMD’s Advancing AI event in San Francisco, I expected to hear about faster GPUs, next-generation CPUs, AI PCs, and the company’s latest AI infrastructure roadmap. Those announcements certainly happened. AMD introduced new AI infrastructure, processo…
It’s Time to Stop Chasing Technology Fads and Start Building a Profession
By Paul Preiss, of Iasa Global I’ve been sitting here for a while struggling with a feeling I couldnt explain, a sense of shared fantasy and shared lies, repeating over and over in my head. […]
5 EA Trends in AI: Uncomfortable Truths from 30 Practitioners
We brought enterprise architects and IT leaders together for our Customer Advisory Board this spring, and the conversations didn’t go the way most AI panels do. Nobody argued about whether AI matters, but instead what it’s exposing.
Designing and Developing a Scalable Small Language Model (SLM) on Microsoft Azure
By Dr. Magesh Kasthuri Small Language Models, commonly called SLMs, are becoming a practical alternative to very large general-purpose models for enterprises that need sharper domain behavior, lower latency, better cost control, and stronger governance…
Modernizing Legacy Systems with Agentic AI
A practical pattern for preserving trusted business logic, while transforming the digital experience. This article uses a real-world enterprise modernization initiative as the reference implementation. By Alok Mehta Every enterprise architect eventuall…