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Panalgo | January 07, 2021
Panalgo, a leading healthcare analytics organization, today declared that its Instant Health Data (IHD) platform will be utilized by the European Medicines Agency (EMA) to encourage the investigation of certifiable data. EMA will utilize IHD to embrace fast investigations of Electronic Healthcare Data (EHDs) open in-house (presently data from the UK, France, and Germany) to all the more rapidly inspect drug usage, survey security/viability, see how medicines act in certifiable set...
Business Intelligence, Big Data Management, Data Science
Prnewswire | April 19, 2023
Treasure Data™, a leading enterprise customer data platform (CDP) provider, today announced it has been named "Enterprise Customer Data Platform of the Year'' in the Data Breakthrough Awards. The Data Breakthrough program honors the top companies, technologies, and products in the global data technology market today. The Treasure Data Customer Data Cloud, an integrated suite of cloud-based customer data platform solutions, was recognized for its ability to power global e...
Snowplow | July 04, 2022
Snowplow Analytics, based in London, offers organizations a platform for creating structured behavioral data assets that are suited to specific AI and BI applications while being entirely compliant. These assets reflect consumer behavior, behaviors, and decisions, as well as the context in which they are made. The company announced today that a series B round of funding reached USD 40 million. The platform delivers AI/BI-ready data straight to the data warehouse or lakehouse, whet...
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...
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