Semantics

Dremio Reinforces Ongoing Commitment to Open Lakehouses with New Support for Apache Iceberg REST Catalog Specification

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木曜日, 5月 30, 2024

The Iceberg REST Catalog Specification is the agreed upon foundation for metadata accessibility across Iceberg catalogs.

Key Points: 
  • The Iceberg REST Catalog Specification is the agreed upon foundation for metadata accessibility across Iceberg catalogs.
  • With this new capability, Dremio is able to seamlessly read from, and write to, any REST-compatible Iceberg catalog, and provide customers with the open, flexible ecosystem needed for enterprise interoperability at scale.
  • Lakehouses create a new open architecture for analytics by completely separating metadata from compute and storage, and externalizing transactional semantics.
  • This news emphasizes Dremio's focus on fostering an open community around Apache Iceberg, the open standard for data lakehouse tables.

Household inflation expectations: an overview of recent insights for monetary policy

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火曜日, 5月 28, 2024
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Key Points: 

    Elsevier Introduces SciBite Chat, a Transformative AI-Powered Semantic Search Tool for Life Sciences R&D

    Retrieved on: 
    火曜日, 5月 7, 2024

    SciBite Chat uniquely combines the strength of semantic search for accurate and traceable information retrieval and Large Language Models (LLMs) to interpret natural language questions and generate answers.

    Key Points: 
    • SciBite Chat uniquely combines the strength of semantic search for accurate and traceable information retrieval and Large Language Models (LLMs) to interpret natural language questions and generate answers.
    • By combining these powerful technologies, SciBite Chat has the potential to transform the search experience, providing explainable results while understanding and summarizing human language effortlessly.
    • These features ensure that search results are both explainable and reproducible, which are essential factors for life sciences research.
    • SciBite Chat is poised to become an essential tool for both researchers and organizations, transforming the way they interact with and utilize data.

    Neo4j Awards Technology Grant to Syracuse University for Mapping Misinformation Trends in 2024 U.S. Elections with Knowledge Graphs

    Retrieved on: 
    火曜日, 5月 7, 2024

    SAN MATEO, Calif., May 7, 2024 /PRNewswire/ -- Neo4j®, the world's leading graph database and analytics company, today announced a $250,000 research grant and licensed use of its software to Syracuse University's Institute for Democracy, Journalism and Citizenship (IDJC). The grant supports the university's yearlong research initiative to identify and map misinformation campaigns and their sources with the potential to mislead voters' decisions in the U.S. 2024 elections.

    Key Points: 
    • The grant supports the university's yearlong research initiative to identify and map misinformation campaigns and their sources with the potential to mislead voters' decisions in the U.S. 2024 elections.
    • The research project is led by Professor Jennifer Stromer-Galley , senior associate dean at Syracuse University's School of Information Studies and a nationally recognized expert in political campaigns and misinformation.
    • NBC used Neo4j to uncover Russian interference in the 2016 election ; and computational journalists used Neo4j knowledge graphs to support fact-based reporting in the 2020 election.
    • Syracuse University's IDJC ElectionGraph and its findings are independent and proprietary to Syracuse University and the IDJC.

    Neo4j Awards Technology Grant to Syracuse University for Mapping Misinformation Trends in 2024 U.S. Elections with Knowledge Graphs

    Retrieved on: 
    火曜日, 5月 7, 2024

    SAN MATEO, Calif., May 7, 2024 /PRNewswire/ -- Neo4j®, the world's leading graph database and analytics company, today announced a $250,000 research grant and licensed use of its software to Syracuse University's Institute for Democracy, Journalism and Citizenship (IDJC). The grant supports the university's yearlong research initiative to identify and map misinformation campaigns and their sources with the potential to mislead voters' decisions in the U.S. 2024 elections.

    Key Points: 
    • The grant supports the university's yearlong research initiative to identify and map misinformation campaigns and their sources with the potential to mislead voters' decisions in the U.S. 2024 elections.
    • The research project is led by Professor Jennifer Stromer-Galley , senior associate dean at Syracuse University's School of Information Studies and a nationally recognized expert in political campaigns and misinformation.
    • NBC used Neo4j to uncover Russian interference in the 2016 election ; and computational journalists used Neo4j knowledge graphs to support fact-based reporting in the 2020 election.
    • Syracuse University's IDJC ElectionGraph and its findings are independent and proprietary to Syracuse University and the IDJC.

    Quark Embeds AI to Convert Unstructured into Structured Content in Newest Release of Quark Publishing Platform NextGen

    Retrieved on: 
    水曜日, 4月 17, 2024

    QPP NextGen v4.0 now includes Semantic AI to accelerate the discovery and reuse of existing content within unstructured PDF content.

    Key Points: 
    • QPP NextGen v4.0 now includes Semantic AI to accelerate the discovery and reuse of existing content within unstructured PDF content.
    • Users can cut down hours associated with searching through unstructured content manually and quickly find and reuse the most accurate, business-approved content components for new content authoring and publishing opportunities.
    • “Content automation has emerged as a key enabler in helping organizations optimize enterprise content processes and deliver personalized content that achieves desired business results,” said Martin Owen, CEO at Quark.
    • “We know content and continually innovate across QPP NextGen to give highly regulated organizations the necessary tools to address any content complexity.

    TrackerRMS Expands Partnership with Daxtra to Enhance Candidate Search Functionality for Recruiters

    Retrieved on: 
    木曜日, 4月 18, 2024

    Through this partnership, Tracker will empower users by integrating Daxtra's semantic term expansion into its platform, a cutting-edge search functionality that analyzes search terms and automatically builds a list of synonyms.

    Key Points: 
    • Through this partnership, Tracker will empower users by integrating Daxtra's semantic term expansion into its platform, a cutting-edge search functionality that analyzes search terms and automatically builds a list of synonyms.
    • "Expanding our partnership with Daxtra enhances our platform's capabilities and provides our users with even greater value," said Andy Jones, CEO of Tracker.
    • The integration of our semantics term expansion into Tracker's platform helps recruiters streamline their processes and ultimately place more candidates."
    • Together, Tracker and Daxtra are committed to empowering recruiters with the tools and technology they need to succeed in a rapidly evolving industry.

    Altair Acquires Cambridge Semantics, Powering Next-Generation Enterprise Data Fabrics and Generative AI

    Retrieved on: 
    木曜日, 4月 18, 2024

    TROY, Mich., April 18, 2024 /PRNewswire/ -- Altair (Nasdaq: ALTR) a global leader in computational intelligence, acquired Cambridge Semantics, a modern data fabric provider and creator of one of the industry's leading analytical graph databases. Cambridge Semantics' graph-powered data fabric technology accelerates the creation of comprehensive enterprise knowledge graphs, integrating the complex web of structured and unstructured enterprise data together into a single, simplified view.

    Key Points: 
    • Cambridge Semantics' graph-powered data fabric technology accelerates the creation of comprehensive enterprise knowledge graphs, integrating the complex web of structured and unstructured enterprise data together into a single, simplified view.
    • Bringing together Cambridge Semantics' transformational knowledge graph technology with Altair's leading tools for data analytics and data science offers organizations a solid foundation for building advanced analytics ecosystems that inject artificial intelligence (AI) into day-to-day business operations.
    • "Additionally, knowledge graphs are critical for successful generative AI applications as they provide the business context necessary to ground generative AI models, eliminate hallucinations, and dramatically improve response quality."
    • Cambridge Semantics' technologies will be integrated into the Altair® RapidMiner® platform, adding knowledge graph, data governance, data virtualization, and data discovery technology to the platform's existing data preparation, ETL, data science, business intelligence, MLOps, workload management, and orchestration tools.

    Altair Acquires Cambridge Semantics, Powering Next-Generation Enterprise Data Fabrics and Generative AI

    Retrieved on: 
    木曜日, 4月 18, 2024

    TROY, Mich., April 18, 2024 /PRNewswire/ -- Altair (Nasdaq: ALTR) a global leader in computational intelligence, acquired Cambridge Semantics, a modern data fabric provider and creator of one of the industry's leading analytical graph databases. Cambridge Semantics' graph-powered data fabric technology accelerates the creation of comprehensive enterprise knowledge graphs, integrating the complex web of structured and unstructured enterprise data together into a single, simplified view.

    Key Points: 
    • Cambridge Semantics' graph-powered data fabric technology accelerates the creation of comprehensive enterprise knowledge graphs, integrating the complex web of structured and unstructured enterprise data together into a single, simplified view.
    • Bringing together Cambridge Semantics' transformational knowledge graph technology with Altair's leading tools for data analytics and data science offers organizations a solid foundation for building advanced analytics ecosystems that inject artificial intelligence (AI) into day-to-day business operations.
    • "Additionally, knowledge graphs are critical for successful generative AI applications as they provide the business context necessary to ground generative AI models, eliminate hallucinations, and dramatically improve response quality."
    • Cambridge Semantics' technologies will be integrated into the Altair® RapidMiner® platform, adding knowledge graph, data governance, data virtualization, and data discovery technology to the platform's existing data preparation, ETL, data science, business intelligence, MLOps, workload management, and orchestration tools.

    Top 10 Best Practices for Website Accessibility Design and Development from a Leading Design Agency in the SF Bay Area

    Retrieved on: 
    水曜日, 4月 10, 2024

    BERKELEY, Calif., April 10, 2024 /PRNewswire-PRWeb/ -- Have you ever turned on the speech reader on your Mac and closed your eyes while navigating a website? It's a powerful test to learn how visually impaired people might experience your content.

    Key Points: 
    • With the evolving landscape of digital content, it's essential for us as designers to stay up-to-date with the latest accessibility standards and best practices.
    • Many of these guidelines are considered best practices in website design and development; a few, however, are easy to overlook.
    • Alt text is an essential part of website accessibility, as it describes the content of images to visually impaired users.
    • Some of us from P6 enjoyed the Smashing SF Conference which had several sessions on accessibility, front-end design, boosting web performance, and more.