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61% Reliability In Agent Mode Anthropic is out with an upgrade to its flagship AIthat offers 61% reliability when used as an agent for everyday computing tasks. Essentially, that means when you use the Sonnet 4.5 as an agent to complete an assignment featuring multi-step tasks like opening apps, editing files, navigating Web pages and […]
As we close in on the third anniversary of ChatGPT’s release to the world – November 30, 2022 – the chatbot, along with others like it, is well on the way to transforming the world as we know it. My only hope is they don’t screw it up. On the plus side, after nearly three
Governments and enterprises alike are feeling mounting pressure to deliver value with agentic AI while maintaining data sovereignty, security, and regulatory compliance. The move to self-managed environments offers all of the above but also introduces new complexities that require a fundamentally new approach to AI stack design, especially in high security environments. Managing an AI
Delivering the agent workforce in high-security environments Read More »
Across industries, a new type of employee is emerging: the digital coworker. AI agents that collaborate, learn, and make decisions are changing how enterprise teams operate and grow. These aren’t like the static chatbots or RPA scripts running in the background. They’re autonomous agents that act as colleagues — not code — helping teams move
Digital coworkers: How AI agents are reshaping enterprise teams Read More »
Your organization is already hiring digital workers. Now, the question is whether IT is actually managing these “people-like” systems as part of the workforce, or as just another application in the tech stack. Far from just another AI tool, AI agents are becoming digital coworkers that need the same lifecycle management as human employees: onboarding,
Why IT needs to manage AI agents like a workforce Read More »
It’s never been faster to build an AI agent — some teams can now do it in weeks. But that speed creates a new problem: performance measurement. Once agents start handling production workloads, how do you prove they’re delivering real business value? Maybe your agents are fielding customer requests, processing invoices, and routing support tickets
How to measure agent performance: metrics, methods, and ROI Read More »
This blog will explore how the joint solution from DataRobot and Deepwave — powered by NVIDIA — delivers a secure, high-performance AI stack, purpose-built for air-gapped, on-premises and high-security deployments. This solution ensures agencies can achieve genuine data sovereignty and operational excellence. The need for autonomous intelligence AI is evolving rapidly, transforming from simple tools
Mission-ready AI: Radio intelligence at the edge Read More »
The real future of work isn’t remote or hybrid — it’s human + agent. Across enterprise functions, AI agents are taking on more of the execution of daily work while humans focus on directing how that work gets done. Less time spent on tedious admin means more time spent on strategy and innovation — which
The agent workforce: Redefining how work gets done Read More »
Agentic AI is moving fast. In post one of this series, we looked at why agentic AI will fail without an AI gateway — the risks of cost sprawl, brittle workflows, and runaway complexity when there’s no unifying layer in place. In post two, we showed you how to tell whether a platform qualifies as
How do you know if you’re ready to stand up an AI gateway? Read More »
Agents are here. And they are challenging many of the assumptions software teams have relied on for decades, including the very idea of what a “product” is. There is a scene in Interstellar where the characters are on a remote, water-covered planet. In the distance, what looks like a mountain range turns out to be
The agentic AI shift: From static products to dynamic systems Read More »
