AI-generated podcast AI-slopcast
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.
Software Engineering in a Post-AI World
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 Business Technology Strategist: The New Face of Architecture (This…
Risk Management (1/2)
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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The Future of Technology: Women in the Age of AI and Data
by Nadzeya Stalbouskaya Introduction: The Revolution We Cannot Miss Artificial…
From IT Operators to Product Teams
From IT Operators to Product Teams: The New Face of…
The Platform Architect
The Platform Architect: From System Administrator to Product Manager The…
From Blueprint to Nervous System
From Blueprint to Nervous System: The New Mandate for Data…
The future role of the Data Architect
The Diplomat of Data: The Data Architect’s New Role on…
Modifying TOGAF To Optimize AI
Modifying TOGAF® To Optimize Artificial Intelligence and Strategic Value for…
Navigating AI Frontier — Role of Quality Engineering in GenAI (Part Two)
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 […]
Hands-on with AI Governance: Designing Adaptive Guardrails—Session Presentation
Abstract:
As organizations become more AI-fueled and pursue complex digital business opportunities, they must have a new system of guardrails that enable them to innovate quickly yet safely. Leaders must also prove that every data byte and model run i…