Tag: data analysis
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Cloud Blog: Next 25 developer keynote: From prompt, to agent, to work, to fun
Source URL: https://cloud.google.com/blog/topics/google-cloud-next/next25-developer-keynote-recap/ Source: Cloud Blog Title: Next 25 developer keynote: From prompt, to agent, to work, to fun Feedly Summary: Attending a tech conference like Google Cloud Next can feel like drinking from a firehose — all the news, all the sessions, and breakouts, all the learning and networking… But after a busy couple…
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Cloud Blog: Looker adds AI-fueled visual, conversational data exploration, continuous integration
Source URL: https://cloud.google.com/blog/products/data-analytics/looker-bi-platform-gets-ai-powered-data-exploration/ Source: Cloud Blog Title: Looker adds AI-fueled visual, conversational data exploration, continuous integration Feedly Summary: Today at Google Cloud Next ‘25, we’re announcing a major step in making Looker the most powerful platform for data analysis and exploration,by enhancing it with powerful AI capabilities and a new reporting experience, all built on…
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CSA: PTaaS Cybersecurity Approach for the Public Sector
Source URL: https://cloudsecurityalliance.org/articles/ptaas-the-smarter-cybersecurity-approach-for-the-public-sector Source: CSA Title: PTaaS Cybersecurity Approach for the Public Sector Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the importance of effective cybersecurity strategies for public sector organizations, particularly the Department of Defense (DoD), highlighting the differences between bug bounty programs and Penetration Testing as a Service (PTaaS). It…
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Cloud Blog: EU のデジタル政府における AI 革命: 「信奉」から「積極的な導入」へ
Source URL: https://cloud.google.com/blog/ja/topics/google-cloud-europe/the-ai-opportunity-for-egovernment-in-the-eu/ Source: Cloud Blog Title: EU のデジタル政府における AI 革命: 「信奉」から「積極的な導入」へ Feedly Summary: ※この投稿は米国時間 2025 年 3 月 26 日に、Google Cloud blog に投稿されたものの抄訳です。 Implement Consulting Group が今回発表した新しいレポート「The AI opportunity for eGovernment in the EU」によると、生成 AI を導入することで、生産性の向上を通じて EU の行政機関に 1,000 億ユーロの機会がもたらされ、EU の市民と企業が大きなメリットを得られる可能性があります。 AI は、単なる技術進歩として導入を検討するものではなく、EU 全域の電子政府の進化に「不可欠」な要素であり、生産性の向上がその鍵となります。 太字で示したこの一文は、転換期の到来を告げるものです。理論面での議論を超えて、ヨーロッパの政府が今後どのように市民との交流を図り、生活に不可欠なサービスを提供していくかを決定するうえで、AI が果たす必要のある重要な役割を示しています。Google の委託を受けて作成されたこのレポートは、EU とその加盟国にとって重要な、ある機会を浮き彫りにしています。それは、AI の可能性を「信奉する組織」から、デジタル インフラストラクチャ内にこの画期的なテクノロジーを「迅速に導入する組織」への進化です。 「信奉」から「迅速な導入」への切り替えには、大きな意味があります。長年にわたり、公共部門における効率の向上、サービスのパーソナライズ、イノベーションの推進に関して、AI が秘める可能性が認識されてきました。 生成 AI…
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AWS News Blog: Accelerate operational analytics with Amazon Q Developer in Amazon OpenSearch Service
Source URL: https://aws.amazon.com/blogs/aws/accelerate-operational-analytics-with-amazon-q-developer-in-amazon-opensearch-service/ Source: AWS News Blog Title: Accelerate operational analytics with Amazon Q Developer in Amazon OpenSearch Service Feedly Summary: Today, I’m happy to announce Amazon Q Developer support for Amazon OpenSearch Service, providing AI-assisted capabilities to help you investigate and visualize operational data. Amazon Q Developer enhances the OpenSearch Service experience by reducing…
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AWS News Blog: AWS Weekly Roundup: Amazon Bedrock, Amazon QuickSight, AWS Amplify, and more (March 31, 2025)
Source URL: https://aws.amazon.com/blogs/aws/aws-weekly-roundup-amazon-bedrock-amazon-quicksight-aws-amplify-and-more-march-31-2025/ Source: AWS News Blog Title: AWS Weekly Roundup: Amazon Bedrock, Amazon QuickSight, AWS Amplify, and more (March 31, 2025) Feedly Summary: It’s AWS Summit season! Free events are now rolling out worldwide, bringing our cloud computing community together to connect, collaborate, and learn. Whether you prefer joining us online or in-person, these…
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AlgorithmWatch: Algorithmic Policing: When Predicting Means Presuming Guilty
Source URL: https://algorithmwatch.org/en/algorithmic-policing-explained/ Source: AlgorithmWatch Title: Algorithmic Policing: When Predicting Means Presuming Guilty Feedly Summary: Algorithmic policing refers to practices with which it is allegedly possible to “predict” future crimes and detect future perpetrators by using algorithms and historic crime data. We explain why such practices are often discriminatory, do not hold up to what…