Beyond the Application
Beyond the Application: Architecting Experiences, Not Just Systems This year’s…
Aggregated enterprise architecture wisdom
Beyond the Application: Architecting Experiences, Not Just Systems This year’s…
The uncomfortable truth about enterprise AI: Most GenAI pilots fail not because the models aren’t smart enough—but because they don’t know enough about your business.
AI has moved from experimental to essential.From copilots in office tools to predictive models in production, it now powers decisions across the enterprise.
By Sanjoy Ghosh, AI & Digital Engineering Leader The last wave of “AI for the contact center” concentrated on assist: call summaries, auto-notes, knowledge snippets. Those are real wins when deployed with guardrails; one insurer’s direct […]
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…
We introduce a new term: “AI-slopcast”. This is a podcast that is created by Generative AI and — surprise! — is AI-slop. The victim: one of my own posts.
By Paul Preiss When I first began shaping the idea that would become Iasa, the very first person I spoke to was Grady Booch. At that time, the vision for a global architecture community was […]
The Business Technology Strategist: The New Face of Architecture (This…
by Nadzeya Stalbouskaya Introduction: The Revolution We Cannot Miss Artificial…
Modifying TOGAF® To Optimize Artificial Intelligence and Strategic Value for…
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 […]
Note from Editor: This post is adapted from Dr. Rich Sonnenblick’s presentation at the 30th European Biopharma Project, Program, & Portfolio Management Conference in Basel. In his presentation, Dr. Sonnenblick dispelled the hype surrounding AI and agents, while sharing concrete examples of how drug development teams are saving hundreds of hours, de-risking their clinical pipelines,…