Aggregated enterprise architecture wisdom
The rapid expansion of AI-driven data centers transforms what once seemed like invisible, back-end digital infrastructure into a highly visible, very localized challenge. According to Forrester’s US Tech Market Forecast, 2025 To 2030, AI could add 1.3 …
By Rekha Kodali The adoption of agentic AI does not fail primarily because of model limitations. It fails because enterprises attempt to operationalize autonomous behaviour without defining how agents communicate, access knowledge, and remain bounded b…
By Holt Hackney The Uganda Development Bank (UDB) has appointed Peter Mukuru as Director of Business Technology and a member of its Executive Committee, signaling a renewed push to align technology strategy with the institution’s […]
By Holt Hackney James Wilt is a voraciously curious CTO, Distinguished Chief Architect & Engineering Advocate dedicated to advancing the profession of Architecture. With over 40 years of experience spanning aerospace, operating systems, cloud platf…
By Chris Kemp, of Kemp IT Law LLP We’ll all be familiar with sayings like: “it’s garbage in, garbage out with AI”. “It’s only as good as the data it’s trained on”. “When bad data […]
On discipline, clarity, and long-term architectural stability
By Dr. Magesh Kasthuri The proliferation of Generative AI tools like GPT and Copilot has transformed the way professionals approach problem-solving, coding, business analysis, and daily productivity. However, the quality of AI-generated outputs hinges …
by Aleksander Wyka Introduction: An Architectural Inflection Point Artificial intelligence…
by Pranav Lal 1. The IPO as an Architectural Event:…
by Nadzeya Stalbouskaya Artificial intelligence did not change the tools…
By Saravanan K Nagarajan Most enterprises have an average of more than 500 applications and larger enterprises may even have more than 1000 applications in their tech stack servicing business needs. This leads to situations […]