13 Jun, 2025
    Breaking Free from Hardcoded Security: Microsoft Introduces Human-in-the-Loop AI Agents

    🔐 The Future of Security Operations is Here: AI That Actually Thinks Traditional security automation is breaking down. While SOAR platforms excel at routine tasks, they crumble when faced with new threats or unexpected scenarios. Microsoft’s Security Copilot Agents are

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    12 Jun, 2025
    Breaking the AI Storage Bottleneck: Solidigm’s Strategic Approach to Each Pipeline Stage

    Efficient management, accessibility, and sheer volume of data in AI workloads necessitate robust and intelligent storage solutions. As AI models grow in size and complexity, every watt of power and every square inch of data center space become paramount, making

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    12 May, 2025
    Bringing Intent-Based Management to Open Networking for the AI Era

    Managing AI infrastructure at scale is no small feat. With networks spanning thousands of devices across multiple distinct fabrics, manual configuration simply isn’t sustainable. In my latest article, I explore how intent-based management is transforming open networking for AI deployments.

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    7 May, 2025
    The AI Data Center Evolution: Juniper Apstra’s Lifecycle Solution for Performance at Scale

    Excited to share my latest article on how Juniper Networks’ Apstra is revolutionizing AI data center management! As AI workloads push traditional infrastructure to its limits, organizations need a comprehensive approach to handle the unprecedented scale, performance demands, and operational

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    26 Feb, 2025
    Six Critical Roadblocks Derailing Enterprise AI Initiatives

    I’ve just published an in-analysis on the critical challenges facing enterprises in the AI inferencing space – the true battleground where AI delivers real business value. While a handful of tech giants handle the billions invested in model training, thousands

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    18 Feb, 2025
    Measuring Success in the AI Revolution: The Critical Role of MLCommons

    🔍 Just published: “Measuring Success in the AI Revolution: The Critical Role of MLCommons“ As organizations race to adopt AI, we’re discovering that raw computing power isn’t enough. The real challenge? Building AI systems that are truly effective, efficient, and

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