Aggregated enterprise architecture wisdom
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…
By Shammy Narayanan An over-enthusiastic husband who suddenly decided to “surprise” his spouse with a homemade pizza? Yes, the same species that believes YouTube + confidence = MasterChef. So, our hero rolls up his sleeves, […]
By Rekha Kodali As organizations accelerate the adoption of Large Language Models (LLMs) for enterprise applications, the emphasis is rapidly shifting from experimentation to operationalization — a phase now widely referred to as LLMOps. This phase […..
By Dr. Magesh Kasthuri Brain Computer Interfaces (BCIs) have ushered in a new era of human-machine interaction, enabling direct communication between the brain and external devices. As Artificial Intelligence advances, Large Language Models (LLMs)—such…
By Bala Kalavala, Chief Architect & Technology Evangelist Introduction Agentic AI architecture represents a shift from static model responses to structured, goal-driven systems that reason, collaborate, and act independently within defined boundari…
By Shammy Narayanan In part one, we explored how the rise of GenAI has thrust Quality Engineering (QE) into an existential spotlight. Far from fading away, QE is evolving moving from executing test scripts to ensuring […]
With the continuous maturity of deep learning technologies, the accumulation of big data resources, and the explosive growth of computational performance, the field of Artificial Intelligence (AI) has gradually stepped into the “new frontier̶…
By Shammy Narayanan In the GenAI era, the role of Quality Engineering (QE) is under the spotlight like never before. Some whisper that QE may soon be obsolete after all, if developer agents can code autonomously, […]