Experimental News Clipping Site

Tag: data quality

  • CSA: AI Pilot Programs & Adoption

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloudsecurityalliance.org/blog/2025/03/28/a-guide-on-how-ai-pilot-programs-are-shaping-enterprise-adoption Source: CSA Title: AI Pilot Programs & Adoption Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the significance of AI pilot programs in enabling organizations to effectively explore and adopt artificial intelligence technologies. It highlights the structured approach these initiatives provide in managing risks and addressing common concerns such…

  • Wired: Databricks Has a Trick That Lets AI Models Improve Themselves

    —

    by

    Kurt Seifried
    in

    Source URL: https://www.wired.com/story/databricks-has-a-trick-that-lets-ai-models-improve-themselves/ Source: Wired Title: Databricks Has a Trick That Lets AI Models Improve Themselves Feedly Summary: Using several recent innovations, the company Databricks will let customers boost the IQ of their AI models even if they don’t have squeaky clean data. AI Summary and Description: Yes Summary: The text discusses Databricks’ recent innovations…

  • Hacker News: The Humans Building AI Scientists

    —

    by

    Kurt Seifried
    in

    Source URL: https://www.asimov.press/p/futurehouse Source: Hacker News Title: The Humans Building AI Scientists Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses FutureHouse, a nonprofit focused on utilizing AI to automate scientific discovery. Their innovative tools streamline research processes, allowing AI to generate hypotheses, analyze literature, and perform tasks that enhance the efficiency…

  • Cloud Blog: The three pillars of data-driven government

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/public-sector/the-three-pillars-of-data-driven-government/ Source: Cloud Blog Title: The three pillars of data-driven government Feedly Summary: Over just the past few years, Artificial Intelligence and Machine Learning (AI/ML) have remarkably transformed IT and data science at the enterprise level. Yet, the public sector is still working through some significant “growing pains” adapting Data & AI strategies…

  • Anchore: Contributing to Vulnerability Data: Making Security Better for Everyone

    —

    by

    Kurt Seifried
    in

    Source URL: https://anchore.com/blog/contributing-to-vulnerability-data-making-security-better-for-everyone/ Source: Anchore Title: Contributing to Vulnerability Data: Making Security Better for Everyone Feedly Summary: Software security depends on accurate vulnerability data. While organizations like NIST maintain the National Vulnerability Database (NVD), the sheer volume of vulnerabilities discovered daily means that sometimes data needs improvement. At Anchore, we’re working to enhance this ecosystem…

  • Cloud Blog: Use Gemini 2.0 to speed up document extraction and lower costs

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/use-gemini-2-0-to-speed-up-data-processing/ Source: Cloud Blog Title: Use Gemini 2.0 to speed up document extraction and lower costs Feedly Summary: A few weeks ago, Google DeepMind released Gemini 2.0 for everyone, including Gemini 2.0 Flash, Gemini 2.0 Flash-Lite, and Gemini 2.0 Pro (Experimental). All models support up to at least 1 million input tokens, which…

  • Hacker News: Doing data labelling in-house

    —

    by

    Kurt Seifried
    in

    Source URL: https://www.ericbutton.co/p/data-labelling Source: Hacker News Title: Doing data labelling in-house Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the development of Yeager, a state-of-the-art AI model for air traffic control audio, and the significant effort put into in-house data labeling. It emphasizes the unique challenges of working with highly specialized…