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TIBCO | October 01, 2021
TIBCO Software Inc., a global leader in enterprise data, empowers its customers to connect, unify, and confidently predict business outcomes, solving the world's most complex data-driven challenges. Today, TIBCO announced a series of innovations to its Predict portfolio that reduce time to data-driven insights, fueling the pervasive use of analytics and data science capabilities. The product updates to TIBCO Spotfire®, TIBCO WebFOCUS®, TIBCO® Data Science, and TIBCO® Streamin...
Databricks | December 03, 2020
Databricks, the data and AI organization, as of late reported the dispatch of SQL Analytics, which unexpectedly enables data examiners to perform outstanding tasks at hand recently implied distinctly for a data stockroom on a data lake. This grows the customary extent of the data lake from data science and AI to incorporate all data remaining burdens including business knowledge (BI) and SQL. Presently, associations can enable data groups across data designing, data science, and data analytics t...
Tredence | April 12, 2021
Tredence, a leading AI engineering and analytics services company, is driving artificial intelligence innovation with the launch of the cutting-edge machine learning operations platform, ML Works. The community launch will encourage data scientists, developers, and analysts to register and explore ML Works for free. In September, the enterprise version will be out.
Companies around the industry are struggling with AI projects that fail to reach production due to bias in data, algo...
Talend | May 09, 2022
Talend, a global leader in data integration and management, announced today at Gartner Data & Analytics Summit in London, the latest version of Talend Data Fabric. In its Spring '22 announcement, Talend will add advanced capabilities to Talend Trust Score™, including aggregation and historical views into the health of any dataset. These new features will help businesses analyze combined data quality metrics to evaluate data trust at macro and micro levels, including across all data...
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