Aggregated enterprise architecture wisdom
Before large language models (LLMs) can process text, they split it into chunks such as words or word fragments. The LLM behind ChatGPT, for example, splits “LMU München” into the three chunks “LM”, “U” and […]
By Sushant Alevoor Introduction Operating Model Design weighs many considerations: strategic alignment, structure, processes, incentives, technology, people and culture. Friction, whether within these elements or between them, is rarely one of them. It…
By Dr. Magesh Kasthuri Enterprise AI agents are moving from simple prompt-driven assistants to complex systems that plan, reason, retrieve information, invoke tools, evaluate outcomes, and collaborate with human teams. This shift has created a new […]
By Sanjeeve Kumar Gajadi | Lead Consultant and SAP Enterprise Architect Agentic AI changes the governance problem. A conventional model may recommend an answer; an agent can interpret a goal, construct a plan, select tools, […]
By Christian Siegers, of KPMG Netherlands For much of the digital era, trust followed a relatively simple path. Users authenticated. Systems verified their identity. Access was granted. From that point onwards, organisations largely assumed that […]
By Holt Hackney Artificial intelligence may automate many of the tasks traditionally performed by enterprise architects, but that does not mean the profession is headed for extinction, according to a new analysis from Forrester. Instead, […]
Before you prompt AI to answer another question or perform another task, new research suggests there may be another consideration: whether the tools used by an AI agent could expose sensitive data. Ying Zhang, an […]
Four questions for architects designing consequential AI actions. By Ric Muro An AI procurement agent prepares a $42,000 supplier payment. The invoice matches the purchase order. The supplier is approved, the payment account is verified, […]
By Dr. Robert Furey With a few notable exceptions such as fire and the wheel, evolution has toyed with the ideas behind just about every invention we have ever dreamed of. Flight as seen in […]
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…
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…
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 […]