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Data Science
RepRisk | April 12, 2022
RepRisk, a leading ESG data science company that combines machine learning and human intelligence to recognize ESG risks, today announced that its ESG risk data will be available via Google Cloud's data exchange, Analytics Hub that is powered by the Crux data integration platform and is presently in public preview. Businesses will be able to effortlessly access and integrate RepRisk data via their systems, as well as utilize Google BigQuery technologies to develop relevant data insights. Read More
Data Architecture
Protegrity | March 15, 2022
Protegrity, a pioneer in data-centric security, recently launched version 9.0 of the Protegrity Data Protection Platform, which includes enhanced security and data-sharing capabilities to help organizations unleash the full potential of their data in increasingly complex technological contexts. Companies compete on data results, but data security and privacy concerns frequently hinder their ability to compete. New data anonymization features for delivering privacy-enhanced datasets for AI/ML and...
Big Data Management
HealthWorksAI | December 30, 2021
HealthWorksAI™, an industry-leading Healthcare analytics company, announces the launch of the 2nd generation of their state-of-the-art xAI program. It's an advanced analytical approach that collects and processes data, generating in-depth market analysis which standard models do not uncover. Allowing data scientists an efficient way to measure the impact of various plan attributes/factors, xAI provides a better understanding of the correlation between plan features and beneficiary pref...
healthitanalytics.com | March 31, 2020
Mount Sinai researchers have developed new predictive analytics tools and identified environmental risk factors that could lead to a new understanding of what triggers Crohn’s disease.In a series of four studies published in the journal Gastroenterology, Mount Sinai inflammatory bowel disease (IBD) researchers offer new ways to identify individuals who have a high likelihood of developing the disease. This could result in more effective prevention efforts, the team stated.Early identificat...
Article
Data Visualization
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