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Placer.ai | April 16, 2021
Placer.ai, the pioneer in location analytics and foot traffic info, has launched a new marketplace. The marketplace will enable data analytics vendors to layer new datasets and insights on top of Placer.ai's dashboard, giving them instant access to leaders in CRE, Retail, Hospitality, finances, and local government. Customers will be able to quickly view and use a range of new data sources from inside the Placer dashboard.
"The Placer.ai marketplace establishes a vital ch...
newscenter.lbl | January 29, 2020
Giant-scale physics experiments are increasingly reliant on big data and complex algorithms fed into powerful computers, and managing this multiplying mass of data presents its own unique challenges. To better prepare for this data deluge posed by next-generation upgrades and new experiments, physicists are turning to the fledgling field of quantum computing to find faster ways to analyze the incoming info. In a conventional computer, memory takes the form of a large collection of bits, and each...
IBM Watson | January 10, 2022
IBM Watson Advertising today announced the availability of data from The Weather Company, an IBM Business, on AWS Data Exchange, an Amazon Web Services (AWS) platform. The AWS Data Exchange allows businesses to easily find and subscribe to third-party data in the cloud.
Providing data from the world's most accurate weather forecaster1, IBM Watson Advertising's Weather Analytics harness the relationship between weather and consumer behavior using artificial intelligence to ...
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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