Aggregated enterprise architecture wisdom
AI agents can pursue goals, adapt from experience, and carry out multi-step tasks across a variety of use cases. Five characteristics of agentic AI are especially relevant to enterprise architecture and should shape governance priorities to ma…
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…
The Architecture Development Method (ADM) of the TOGAF Standard describes a number of techniques a practitioner has at his disposal. Risk Management is the second-to-last technique that is described. Since it is addressed in several phases (Phase A and Phases E through H), it can be seen as an integral part of architecture development. Applying Risk Management techniques ensures that risks are identified, assessed, and mitigated as part of the architecture development process.
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by Nadzeya Stalbouskaya Introduction: The Revolution We Cannot Miss Artificial…
From IT Operators to Product Teams: The New Face of…
The Platform Architect: From System Administrator to Product Manager The…
From Blueprint to Nervous System: The New Mandate for Data…
The Diplomat of Data: The Data Architect’s New Role on…
Modifying TOGAF® To Optimize Artificial Intelligence and Strategic Value for…