Aggregated enterprise architecture wisdom
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 …
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…
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. […]
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.
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…
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…
De-Siloing Enterprise HR Technology: An Enterprise Architecture Approach to Peer-Driven,…
The National Insurance Crime Bureau (NICB) has appointed Marta Magnuszewska as senior vice president and chief information and technology officer, effective July 20. In the role, Magnuszewska will oversee the organization’s technology strategy an…
By Naveena Davay Arunkumar, Lead Data Analyst, IT Asset Management, CareFirst BlueCross BlueShield The problem wasn’t technical The usual account of moving from a governance committee to an automated pipeline focuses on the technical rebuild […]
Over the past few years, progress in large language models has often been associated with a single word: bigger. Larger parameter counts. Larger training datasets. Larger computational budgets. And, with each new generation, stronger performance […]
AI is making it easier than ever to build software. That’s the exciting part that everyone is talking about, but it is not the full story of what happens in practice after the software is built, when someone has to run it, secure it, and answe…
By Arun Mishra, Enterprise Architect | Director, Capital One Why Enterprise Architecture Governance Fails Before Implementation Enterprise architecture governance programs tend to fail in a predictable place that most governance frameworks do not …