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Last October, I published a blog proposing a different mental model for AI agents: Treat them as cognitive skills and products, not as digital employees. That framing has since res...
Agentic AI is a class of artificial intelligence in which software systems autonomously plan, execute...
In this article, you will learn how to distinguish agentic workflows from autonomous agents by focusing on who owns control flow — a human writing...
A framework for aligning agentic AI with enterprise intent to ensure consistent scenario‑wide autonomous behavior. The post The Three Dimensions of Custom Agentic Alignment: Purpos...
The firms that win will use agent deployment as an X-ray and redesign their organizations around what they find.
Earlier this year, I was in a room with a group of CEOs in Istanbul. A few weeks later, on a call with board members from a European grocery chain. A month later with investors in...
"Human in the loop" is a phrase we hear constantly in the AI space. It's meant to be reassuring—reminding us that humans are still in control, still the ultimate decision-makers.Bu...
Key Takeaways An agentic loop is a trigger + a verifiable goal. The agent runs until the goal is met – no prompting required. Loop engineering is said to be the practice of designi...
How agents discover tools, call services, and coordinate across systems is now standardizing. If you're building infrastructure that agents will use, it helps to know how the Model...
Snowflake's Data-Model-Agent framework secures the agentic enterprise with prompt injection defense, zero-copy governance and auditable agent identity.
Publishers, developers, and businesses face three different economic realities under the agentic web. This article maps all three. The post What Is The Agentic Web? appeared first...
If AI agents are becoming organizational actors, then governance needs to move beyond principles and into operational structure. In Camille Stewart Gloster’s upcoming book The Ins...
As AI agents increasingly act on behalf of users, every request raises critical questions of identity, intent, and trust.
Agentic artificial intelligence — or agentic AI — represents a significant evolution compared to traditional AI systems. We are no longer speaking only about tools that generate te...
Microsoft's Agentic Transformation Patterns Playbook is a useful signal because it does not treat AI agents as another productivity tool. It frames agentic AI as an enterprise oper...
There’s an old joke I used to hear in Poland. A manager wants to hire a new employee and asks his assistant to collect résumés. A week later, she proudly carries a stack of résumés...
Why Agentic Integrations Are a Home Run for Lawyersby Max Christoff Reading Time — 2 minutes May 12, 2026...
Agentic workflows let AI agents plan, call tools, and act across many steps. Learn how they work, their patterns and use cases, and how to make them reliable.
Agentic BI is reshaping how organizations move from raw data to business decisions...
“They internalize a template that equates difference with superior and inferior.” The post Partnership Systems, Feminism, and the Persistence of Domination appeared first on The Go...
Snowflake CEO Sridhar Ramaswamy and Accenture's Rajendra Prasad lay out how governed data and Context Graph power enterprise-scale agentic decisions.
Agentic SRE is the evolution of site reliability engineering where AI agents help observe systems, reason over telemetry and take bounded operational actions under human-defined gu...
A minimal OpenAI Agents SDK implementation where retrieval becomes a search-read-decide loop The post Agentic RAG: Let the Agent Search appeared first on Towards Data Science.
Computer scientist Phillip Isola cuts through the hype to explain how AI agents work and what the future might hold for this rapidly advancing technology. The post Q&A: What Is...
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