Experimental News Clipping Site

Tag: historical data

  • Cloud Blog: The new data scientist: From analyst to agentic architect

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/data-analytics/enabling-data-scientists-to-become-agentic-architects/ Source: Cloud Blog Title: The new data scientist: From analyst to agentic architect Feedly Summary: The role of the data scientist is rapidly transforming. For the past decade, their mission has centered on analyzing the past to run predictive models that informed business decisions. Today, that is no longer enough. The market…

  • Slashdot: Microsoft is Filling Teams With AI Agents

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    Kurt Seifried
    in

    Source URL: https://slashdot.org/story/25/09/19/0157250/microsoft-is-filling-teams-with-ai-agents?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Microsoft is Filling Teams With AI Agents Feedly Summary: AI Summary and Description: Yes Summary: Microsoft is integrating new AI agents into Teams, enhancing collaboration with capabilities such as agenda creation, note-taking, and real-time meeting management. This development has significant implications for security, compliance, and operational efficiency in hybrid…

  • Anchore: Anchore Enterprise is now SPDX 3 Ready

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    Kurt Seifried
    in

    Source URL: https://anchore.com/blog/anchore-enterprise-is-now-spdx-3-ready/ Source: Anchore Title: Anchore Enterprise is now SPDX 3 Ready Feedly Summary: We’re excited to announce that Anchore Enterprise is now SDPX 3 ready. If you’re a native to the world of SBOMs this may feel a bit confusing given that the Linux Foundation announced the release of SPDX 3 last year.…

  • Simon Willison’s Weblog: Comparing the memory implementations of Claude and ChatGPT

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Sep/12/claude-memory/#atom-everything Source: Simon Willison’s Weblog Title: Comparing the memory implementations of Claude and ChatGPT Feedly Summary: Claude Memory: A Different Philosophy Shlok Khemani has been doing excellent work reverse-engineering LLM systems and documenting his discoveries. Last week he wrote about ChatGPT memory. This week it’s Claude. Claude’s memory system has two fundamental characteristics.…

  • Cloud Blog: StreamSight: Driving transparency in music royalties with AI-powered forecasting

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/media-entertainment/streamsight-driving-transparency-in-music-royalties-with-ai-powered-forecasting/ Source: Cloud Blog Title: StreamSight: Driving transparency in music royalties with AI-powered forecasting Feedly Summary: In an industry generating vast volumes of streaming data every day, ensuring precision, speed, and transparency in royalty tracking is a constant and evolving priority. For music creators, labels, publishers, and rights holders, even small gaps in…

  • Cloud Blog: How to enable real time semantic search and RAG applications with Dataflow ML

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/developers-practitioners/create-and-retrieve-embeddings-with-a-few-lines-of-dataflow-ml-code/ Source: Cloud Blog Title: How to enable real time semantic search and RAG applications with Dataflow ML Feedly Summary: Embeddings are a cornerstone of modern semantic search and Retrieval Augmented Generation (RAG) applications. In short, they enable applications to understand and interact with information on a deeper, conceptual level. In this post,…

  • Cloud Blog: Zero-shot forecasting in BigQuery with the TimesFM foundation model

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/data-analytics/bigquery-ml-timesfm-models-now-in-preview/ Source: Cloud Blog Title: Zero-shot forecasting in BigQuery with the TimesFM foundation model Feedly Summary: Accurate time-series forecasting is essential for many business scenarios such as planning, supply chain management, and resource allocation. BigQuery now embeds TimesFM, a state-of-the-art pre-trained model from Google Research, enabling powerful forecasting via the simple AI.FORECAST function.…