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Here is what the agentic era of influence actually looks like and why it changes everything, let’s dive into Xeleb Protocol insights. 👇Continue reading on Medium »
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...
As AI matures, enterprises and customers are rapidly deploying agents seeking to unlock the next level of automation and productivity. Agentic AI shows potential to handle a multit...
But because agents often require guidance or additional context as they move through their tasks, Sharma, 27, finds himself wanting to be available to them around the clock and for...
Every era of enterprise technology has added a defining layer to the stack. Mainframes gave us the system of record. Client/server gave us applications. The web gave us services an...
Agentic SDLC, or agentic software development life cycle, is the next major shift in how I think about building and shipping software. It is not simply AI writing a few lines of co...
In this article, you will learn how agentic AI architecture has evolved by mid-2026, including the shift away from orchestrated reasoning loops, the rise of...
At HITEC 2026 in San Antonio, the dominant theme shifted from AI deployment to AI governance, with Agent Management Platforms emerging as a critical new software category for hotel...
Firms need to stop asking what AI can tell us and ask instead what it can do for us, writes Rob Aberdein
More AI, fewer excuses for bad leadership.
From a new paper by Shruti Rajagopalan: AI agents now transact, publish, and act on external systems without contemporaneous human approval, creating new regulatory challenges. A g...
Dome Systems’ Dave McJannet unpacks why governance is emerging as the defining challenge of enterprise agentic A.I. Identity, access controls and auditability, McJannet argues, are...
Artificial intelligence is evolving quickly. While earlier AI was mainly used for tasks like predicting trends or generating content, now there’s a new, more advanced version. This...
This is the first of a three-part series on the evolution of platform engineering. AI isn’t changing the goals of platform engineering. It’s changing who consumes the platform. Onc...
Agentic AI for enterprise is no longer a future concept; it’s here and transforming how organizations operate. Unlike traditional AI tools that respond to prompts, agentic systems...
Enterprise teams are moving agentic AI projects toward production faster than they are developing the architectural disciplines needed to build, govern, secure, and operate them. A...
Scaling AI in business is less about technology and more about accountability, governance, and healthy relationships between humans and agents.
The strategic priorities shaping the future of intelligent utility operations.
Most enterprises govern the systems around AI agents, not the agents themselves. They control credentials, log tool calls, and route high-risk actions to a human approver. These ar...
Enterprise resource planning (ERP) vendors are rapidly packaging autonomous operations as the next “platform” mandate, but the real constraint on the rollout of autonomous operatio...
Some filmmakers have this uncanny ability to see what's coming before the rest of us do. Eagle Eye (2008) was one of those films. In it, a government hijacked by an AI platform exp...
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In modern corporate settings, information security teams face an escalating threat: the unchecked proliferation of "Shadow AI." Driven by tight deadlines and complex research deman...
For a long time, following the rules at work has been like a game of “catch-up.” There is a written... The post The Rise of “Agentic Compliance”: Shifting from Policies To Real-Tim...
The secret to unlocking agentic HR service comes down to trusting your data, and the tools that access it.
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