Experimental News Clipping Site

Tag: oE

  • Cloud Blog: Supercharging Employee Productivity with AI, Securely, with Gemini in Chrome Enterprise

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/chrome-enterprise/supercharging-employee-productivity-with-ai-securely-with-gemini-in-chrome-enterprise/ Source: Cloud Blog Title: Supercharging Employee Productivity with AI, Securely, with Gemini in Chrome Enterprise Feedly Summary: AI is transforming how people work and how businesses operate. But with these powerful tools comes a critical question: how do we empower our teams with AI, while ensuring corporate data remains protected?A key answer…

  • Cloud Blog: How Mr. Cooper assembled a team of AI agents to handle complex mortgage questions

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/financial-services/assembling-a-team-of-ai-agents-to-handle-complex-mortgage-questions-at-mr-cooper/ Source: Cloud Blog Title: How Mr. Cooper assembled a team of AI agents to handle complex mortgage questions Feedly Summary: In today’s world where instant responses and seamless experiences are the norm, industries like mortgage servicing face tough challenges. When navigating a maze of regulations, piles of financial documents, and the high…

  • Cloud Blog: How Google Cloud’s AI tech stack powers today’s startups

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/startups/differentiated-ai-tech-stack-drives-startup-innovation-google-builders-forum/ Source: Cloud Blog Title: How Google Cloud’s AI tech stack powers today’s startups Feedly Summary: AI has accelerated startup innovation more than any technology since perhaps the internet itself, and we’ve been fortunate to have a front row seat to much of this innovation here at Google Cloud. Nine of the top…

  • Simon Willison’s Weblog: ICPC medals for OpenAI and Gemini

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Sep/17/icpc/#atom-everything Source: Simon Willison’s Weblog Title: ICPC medals for OpenAI and Gemini Feedly Summary: In July it was the International Math Olympiad (OpenAI, Gemini), today it’s the International Collegiate Programming Contest (ICPC). Once again, both OpenAI and Gemini competed with models that achieved Gold medal performance. OpenAI’s Mostafa Rohaninejad: We received the problems…

  • Cloud Blog: GKE network interface at 10: From core connectivity to the AI backbone

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/networking/gke-network-interface-from-kubenet-to-ebpfcilium-to-dranet/ Source: Cloud Blog Title: GKE network interface at 10: From core connectivity to the AI backbone Feedly Summary: It’s hard to believe it’s been over 10 years since Kubernetes first set sail, fundamentally changing how we build, deploy, and manage applications. Google Cloud was at the forefront of the Kubernetes revolution with…

  • Microsoft Security Blog: Microsoft Purview innovations for your Fabric data: Unify data security and governance for the AI era

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    Kurt Seifried
    in

    Source URL: https://www.microsoft.com/en-us/security/blog/2025/09/16/microsoft-purview-innovations-for-your-fabric-data-unify-data-security-and-governance-for-the-ai-era/ Source: Microsoft Security Blog Title: Microsoft Purview innovations for your Fabric data: Unify data security and governance for the AI era Feedly Summary: The Microsoft Fabric and Purview teams are thrilled to participate in the European Microsoft Fabric Community Conference Sept. 15-18, 2025 in Vienna, Austria. The event is Microsoft’s largest tech…

  • Cloud Blog: Gemini and OSS text embeddings are now in BigQuery ML

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    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/data-analytics/use-gemini-and-open-source-text-embedding-models-in-bigquery/ Source: Cloud Blog Title: Gemini and OSS text embeddings are now in BigQuery ML Feedly Summary: High-quality text embeddings are the engine for modern AI applications like semantic search, classification, and retrieval-augmented generation (RAG). But when it comes to picking a model to generate these embeddings, we know one size doesn’t fit…