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AI Is Coming for Inefficiency: How Enterprise Leaders Should Redesign Work Before Automating It AI is not just another technology wave waiting for a procurement cycle, a license rollout, and a few enablement sessions. It is a pressure test on the way work actually moves through the enterprise. That is why Gartner’s framing matters. The […]
Anthropic launched a beta version of its Claude Tag feature for Enterprise and Team tiers, shifting its chat model into shared Slack channels. Moving away from traditional isolated chat boxes, users pull the artificial intelligence model into active group threads by typing @Claude. The integration allows any team member in the channel to delegate a task, review
Anthropic drops ‘workplace AI agents’ directly inside Slack Read More »
Shell will use agents from C3 AI to shift from basic anomaly detection towards fully-automated predictive maintenance. The global energy giant is building on their current use of the C3 AI Reliability Suite, which already keeps tabs on more than 30,000 crucial pieces of equipment across upstream and downstream operations. Shell now intends to lean
How C3 AI agents will automate predictive maintenance for Shell Read More »
This post demonstrates how Agentic AI and SAS Viya can modernize SME loan origination by combining OCR, LLMs, governed decisioning, and interactive dashboards to accelerate transparent, explainable, and scalable credit decisions. The post How Agentic AI Accelerates SME Credit Decisions with SAS Viya appeared first on SAS Blogs.
How Agentic AI Accelerates SME Credit Decisions with SAS Viya Read More »
Why it matters: Automation in small steps: a 5-step model for incremental workflow improvement, with real case studies from Amazon, Netflix, JPMorgan, UiPath, Siemens, and Coca-Cola.
AI agents are rapidly becoming one of the most talked-about innovations in enterprise technology. From autonomous task execution to end-to-end workflow automation, Agentic AI promises to move beyond chatbots and copilots into systems that actually do work. But here’s the uncomfortable truth: Most Agentic AI projects fail before they even launch. Not because the models
Why Most Agentic AI Projects Fail Before They Even Launch Read More »
Learn how integrating the Model Context Protocol (MCP) into SAS Retrieval Agent Manager transforms retrieval-augmented generation from a passive information system into a governed, scalable, and action-oriented enterprise AI platform capable of executing real business workflows. The post Unlocking agentic AI potential with MCP tools in SAS Retrieval Agent Manager appeared first on SAS Blogs.
Unlocking agentic AI potential with MCP tools in SAS Retrieval Agent Manager Read More »
Introduction: The Illusion of Simplicity in AI Agents Many teams today believe that AI agents are plug-and-play tools — install them, type a prompt, and watch them magically transform workflows. It sounds like the dream of automation finally realized. But here’s the truth: it doesn’t work that way. While AI agents are incredibly powerful, their
Plug-and-Play Is a Myth: Why AI Agents Need Integration, Not Just Prompts Read More »
