Aggregated enterprise architecture wisdom
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 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 […]
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 Anthony Borrelli Last year, when The New York Times reported that Amazon’s robotics team’s ultimate goal was to automate 75% of the company’s operations, replacing more than half a million human jobs in an attempt to pass […]
By Bhumika Udani When benchmark data revealed that Token-Oriented Object Notation (TOON) achieved 73.9% accuracy on LLM data retrieval tasks while using 39.6% fewer tokens than JSON, it became clear that the serialisation format represents […]
By Dr. Magesh Kasthuri In recent years, Artificial Intelligence has witnessed a transformative leap with the advent of Large Language Models (LLMs) and Small Language Models (SLMs). As enterprises navigate digital transformation, the role of these […]
By Daniel Lambert, M.Sc. Business capabilities are the core of enterprise architecture because they express what the business must do to create value, independent of org charts or systems. A grounded capability model makes these […]
By Juan Mestas, Group Technology Head – Digital Strategy, Architecture, Platform Engineering, Transformation and Innovation While recently looking into an API glitch caused by a lack of idempotency, and considering what the same flaw would […]
By Prabhakar V Enterprises loudly claim they are “data-driven.” They invest in AI dashboards, cloud warehouses, data lakes, and automation. Yet the most critical truth remains ignored: Most Data Architects operate far downstream—long after data is [……
By Bala Kalavala, Chief Architect & Technology Evangelist The evolution of enterprise AI: Understanding the maturity curve When ChatGPT emerged in late 2022, it democratized access to sophisticated AI capabilities overnight. Suddenly, any organizat…
By Dr. Magesh Kasthuri Large Language Models (LLMs) have become central to today’s AI revolution, enabling machines to generate human-like text, answer queries, and even perform complex reasoning. Yet, the magic behind these intelligent systems […]
By Rajeev Prashar (Editor’s Note: This article represents part five of an ongoing series. Part one, appeared on August 18, entitled “The Unavoidable ‘SCREAM’: Why Enterprise Architecture Must Transform for the Organization of Tomorrow“, introduced the…