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AWS re:Invent 2025: Frontier AI agents replace chatbots

According to AWS at this week’s re:Invent 2025, the chatbot hype cycle is effectively dead, with frontier AI agents taking their place. That is the blunt message radiating from Las Vegas this week. The industry’s obsession with chat interfaces has been replaced by a far more demanding mandate: “frontier agents” that don’t just talk, but […]

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How to Build a Meta-Cognitive AI Agent That Dynamically Adjusts Its Own Reasoning Depth for Efficient Problem Solving

In this tutorial, we build an advanced meta-cognitive control agent that learns how to regulate its own depth of thinking. We treat reasoning as a spectrum, ranging from fast heuristics to deep chain-of-thought to precise tool-like solving, and we train a neural meta-controller to decide which mode to use for each task. By optimizing the

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AI in manufacturing set to unleash new era of profit

Manufacturing executives are wagering nearly half their modernisation budgets on AI, betting these systems will boost profit within two years. This aggressive capital allocation marks a definitive pivot. AI is now seen as the primary engine for financial performance. According to the Future-Ready Manufacturing Study 2025 by Tata Consultancy Services (TCS) and AWS, 88 percent

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Google DeepMind Researchers Introduce Evo-Memory Benchmark and ReMem Framework for Experience Reuse in LLM Agents

Large language model agents are starting to store everything they see, but can they actually improve their policies at test time from those experiences rather than just replaying context windows? Researchers from University of Illinois Urbana Champaign and Google DeepMind propose Evo-Memory, a streaming benchmark and agent framework that targets this exact gap. Evo-Memory evaluates

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The strategic imperative: Governance for retrieval-augmented generation

Generative AI (GenAI) has seemingly permanently shifted the trajectory of enterprise strategy, offering a way to transform massive amounts of unstructured data into actionable, contextual intelligence. However, as organizations move past pilot projects and scale this technology, they run headfirst into a widening gap between the potential of AI and […] The post The strategic

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Agentic AI vs Generative AI: How to Choose the Right Intelligence for Your Enterprise

If 2023 was the year of generative AI, 2025 is quickly becoming the year of agentic AI. Generative models can write emails, draft code, or create images. Agentic systems go a step further: they plan, act, and adapt to complete multi-step tasks with less hand-holding. For leaders, the question is no longer “Should we use

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IBM cites agentic AI, data policies, and quantum as 2026 trends

Enterprise leaders are entering 2026 with an uncomfortable mix of volatility, optimism, and pressure to move faster on AI and quantum computing, according to a paper published by the IBM Institute for Business Value. Its findings are based on more than 1,000 C-suite executives and 8,500 employees and consumers. While only around a third of

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The Future of Work: How Agentic AI Is Powering the Human-in-the-Loop 2.0 Revolution

The conversation around artificial intelligence is shifting dramatically.We’ve evolved beyond the binary narrative of humans versus machines. The new paradigm is human–AI orchestration, led by a new generation of Agentic AI systems — autonomous, reasoning, goal-driven agents that collaborate with humans instead of replacing them. Welcome to the era of Human-in-the-Loop 2.0 — a world

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How to Build Trustworthy and Compliant Agentic AI: The Future of Responsible AI Systems

The conversation around AI has shifted. It’s no longer just about what machines can say—it’s about what they can do, safely, reliably, and ethically. Enter Agentic AI: systems that don’t just respond to prompts, but take actions on your behalf. These agents can schedule meetings, reconcile accounting ledgers, coordinate with business systems, trigger workflows, and

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