DevBatch

BIG DATA MANAGEMENT

Amazon Web Services | December 02, 2020

Today at AWS re:Invent, Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. organization (NASDAQ: AMZN), reported three new analytics abilities that drastically improve the exhibition of Amazon Redshift information stockrooms, make it altogether simpler for clients to move and join information across information stores, and make it a lot more straightforward for end-clients to get more an incentive from their business information utilizing machine learning. AQUA for Amazon Redshi...

mobileappdaily.com | January 17, 2020

In the last couple of years, the retail industry has been considerably impacted because of technologies like Artificial Intelligence and Machine Learning. Especially, the companies that rely on online sales are integrating Machine Learning resources to increase sales and reduce costs.If we go by the books, Machine Learning can be defined as the scientific study of algorithms and statistical models to perform specific tasks by making use of patterns and inference. And interestingly, Artificial In...

industrywired.com | March 06, 2020

The insurance sector has largely been driven by data to drive the dynamics of the industry for several years. However, advances in technology now have led to a broad range of solutions to assess large volumes of information for useful patterns. So, in order to succeed and remain competitive in the ever-changing field, insurers are turning to Big Data and analytics. The increasing use of these solutions delivers the capabilities to transform the industry by providing valuable insights into all fa...

DATA SCIENCE

Privacera | May 13, 2022

Privacera, the unified data access governance leader founded by the creators of Apache Ranger™, today announced the release of Privacera Platform 6.3 and PrivaceraCloud 4.3, which offer complete data governance automation and expanded support across the cloud partner ecosystem. The new releases dramatically expand the Privacera Access Governance Platform's ability to secure a diverse and increasing number of data sources and analytical workloads offered by leading ...