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Google made agentic AI governance a product. Enterprises still have to catch up.

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Two weeks ago at Google Cloud Next ’26 in Las Vegas, Google did something the enterprise AI industry has been dancing around for the better part of two years: it made agentic AI governance a native product feature, not an afterthought. The centrepiece announcement was the Gemini Enterprise Agent Platform, pitched as the successor to Vertex AI […]

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15+ Solved Agentic AI Projects with Github Links

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Projects are the bridge between understanding AI and actually building with it. While the last couple of years were dominated by generative models, the shift now is toward systems that can think in steps, use tools, and act with a clear objective. This guide brings together over 15 solved agentic AI projects designed to help

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Why Agentic AI Requires More Than Better Models

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Agentic artificial intelligence (AI) is set to fundamentally reshape the structure of enterprise work and commerce. Rather than simply responding to instructions, these agents actively participate in workflows by planning tasks, creating and using tools, correcting their own errors, and pursuing multistep goals autonomously. The result is faster, more adaptive workflows. The emergence of the

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SAS Innovate 2026: Will people matter as AI scales?

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If you scroll through job postings right now, you’ll see a pattern. Plenty of roles asking people to train models, fine-tune outputs, build agents and automate workflows. Fewer ones are asking for the kind of judgment that used to sit at the center of how decisions get made. At the […] The post SAS Innovate

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Build a Reinforcement Learning Powered Agent that Learns to Retrieve Relevant Long-Term Memories for Accurate LLM Question Answering

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In this tutorial, we build a Reinforcement Learning–driven agent that learns how to retrieve relevant memories from a long-term memory bank. We start by constructing a synthetic memory dataset and generating queries that require the agent to recall specific information. Using OpenAI embeddings, we convert both memories and queries into vector representations, enabling similarity signals

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China kills Meta’s acquisition of Manus as US-China AI rivalry deepens

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China has blocked US tech giant Meta’s acquisition of the AI company Manus that was founded by Chinese tech entrepreneurs. That development indicates how difficult it has become for US and Chinese tech companies to strike and sustain such deals as government authorities on both sides take an increasingly hard line amid the deepening US-China

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Google Deep Research Max: Build Autonomous AI Research Agents in Minutes

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Google just changed how developers do research. On April 21, 2026, they launched Deep Research Max. It runs on Gemini 3.1 Pro and is not just another chatbot upgrade. This is an autonomous AI research agent. It plans, searches, reads, reasons, and writes, all from a single API call. By the end, you get a

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Top 7 Benchmarks That Actually Matter for Agentic Reasoning in Large Language Models

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As AI agents move from research demos to production deployments, one question has become impossible to ignore: how do you actually know if an agent is good? Perplexity scores and MMLU leaderboard numbers tell you very little about whether a model can navigate a real website, resolve a GitHub issue, or reliably handle a customer

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