Experimental News Clipping Site

Tag: driven decision making

  • Cloud Blog: Understand why your metrics moved with contribution analysis in BigQuery ML, now GA

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/data-analytics/bigquery-ml-contribution-analysis-models-now-ga/ Source: Cloud Blog Title: Understand why your metrics moved with contribution analysis in BigQuery ML, now GA Feedly Summary: The key to effective data-driven decision making is quickly processing and extracting insights from large amounts of data. However, doing this efficiently and at scale is a challenge.  Imagine a retail scenario where…

  • Cloud Blog: Expanding BigQuery geospatial capabilities with Earth Engine raster analytics

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/data-analytics/a-closer-look-at-earth-engine-in-bigquery/ Source: Cloud Blog Title: Expanding BigQuery geospatial capabilities with Earth Engine raster analytics Feedly Summary: At Google Cloud Next 25, we announced a major step forward in geospatial analytics: Earth Engine in BigQuery. This new capability unlocks Earth Engine raster analytics directly in BigQuery, making advanced analysis of geospatial datasets derived from…

  • Hacker News: AgenticMemory: Zettelkasten inspired agentic memory system

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    by

    Kurt Seifried
    in

    Source URL: https://github.com/WujiangXu/AgenticMemory Source: Hacker News Title: AgenticMemory: Zettelkasten inspired agentic memory system Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a novel Agentic Memory system designed specifically for Large Language Model (LLM) agents, enabling dynamic management and organization of memories. This system stands out by offering enhanced capabilities compared to…

  • Hacker News: Meta built large-scale cryptographic monitoring

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    system automation
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    Source URL: https://engineering.fb.com/2024/11/12/security/how-meta-built-large-scale-cryptographic-monitoring/ Source: Hacker News Title: Meta built large-scale cryptographic monitoring Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses Meta’s implementation and benefits of a large-scale cryptographic monitoring system. This system enhances cryptographic reliability, identifies vulnerabilities, and contributes to proactive security measures in the context of cryptography. It serves as…