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India’s most important workplace conversation begins tomorrow. Here’s why it can’t wait.

ai, AI (Artificial Intelligence), Artificial Intelligence

Tomorrow, India’s most senior enterprise leaders stop talking about the future of work and start examining it. This piece looks at why the questions on the table at the ET Future of Knowledge Work Summit, around AI, talent, and organisational change, are no longer abstract, and why the room in Bengaluru on 17 June may […]

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Google Cloud Introduces Open Knowledge Format (OKF): A Vendor-Neutral Markdown Spec for Giving AI Agents Curated Context

agentic ai, ai, AI (Artificial Intelligence), AI Infrastructure, AI Shorts, Applications, Artificial Intelligence, Context Engineering, Editors Pick, For Devs, Machine Learning, New Releases, Software engineering, Staff, Tech News, Technology

Foundation models keep getting stronger, yet they still stall on the same thing: context. A model can write code or analyze a dataset, but only with the right internal knowledge. That knowledge includes table schemas, metric definitions, runbooks, join paths and it lives scattered across catalogs, wikis, and a few senior engineers’ heads. Google Cloud

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AI Red Teaming Explained: What It Is and Why You Need It

ai, AI (Artificial Intelligence), Artificial Intelligence, Sponsored Content

With AI adoption accelerating, testing systems under adversarial conditions has become increasingly important. It enables organisations to identify vulnerabilities before deployment and strengthen overall system safety. Explore what AI red teaming is, why it matters and the leading companies offering AI red teaming consulting services. What Is AI Red Teaming? AI red teaming tests artificial

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How AI-Powered CMS Platforms Are Transforming Enterprise Content Operations

ai, AI (Artificial Intelligence), Artificial Intelligence, Sponsored Content

For years, enterprise content management was largely a publication tool. How do you get the right content, in the right format, to the right channel, without breaking workflows that span dozens of markets and hundreds of contributors? The answer was usually a combination of manual processes, siloed systems, and large coordination teams that grew historically

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