Aggregated enterprise architecture wisdom
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 Rafael Núñez Infante The conversation around Artificial Intelligence has drifted in the wrong direction. While some argue about whether it will replace humans, others are already using it to learn faster than ever before. […]
By Rajeev Prashar (Editor’s Note: This article represents part four 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 […..
AI in the enterprise isn’t a switch from assistant to autonomous; it’s a spectrum of capabilities. Understanding that spectrum is how organizations move from curiosity to confidence. Planview Chief Data Scientist Dr Dich Sonnenblick and Planview CEO Razat Guarav take the time in this enlightening video to break down how AI Agents are transforming strategic…
Dr. Magesh Kasthuri In today’s digital era, data is at the heart of every successful organisation. As data volumes grow and regulations become more stringent, businesses face increasing challenges in managing, securing, and leveraging their […]
By Holt Hackney Nadzeya Stalbouskaya is a Technology Architect at International Airlines Group (IAG Transform), where she designs clarity out of complexity across enterprise systems, governance, and digital transformation. Known for her advocacy on arc…
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, […]
By Bala Kalavala Summary In the race for AI-driven transformation, enterprise leaders face a critical decision: rely solely on proprietary large language models (LLMs) or harness the power and flexibility of the open-source ecosystem. This […]
“Garbage in, garbage out” has long been a reality in enterprise data management. But with the rise of autonomous AI agents in the enterprise, the consequences of poor data have never been greater.
When we first announced support for the Model Context Protocol (MCP) earlier this year, it was more than just another product update; it was a milestone for Enterprise Architecture.
(Editor’s Note: This article represents part three 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 conceptual overv…
In Q2, Ardoq embedded AI directly into core modeling tasks to accelerate productivity. But speed in outputs alone wasn’t enough. By Q3, the challenges we were hearing from Enterprise Architects had shifted: