Commvault

Business Intelligence, Big Data Management, Business Strategy

Commvault | November 04, 2022

Commvault, a global enterprise leader in data management across on-premises, cloud, and SaaS environments, today announced a new approach to data protection with the launch of Metallic® File & Object Archive, a Data Management as a Service (DMaaS) solution designed to lower storage costs, while cost-effectively transforming how organizations navigate the world of Governance, Risk, and Compliance (GRC). Global and industry GRC-related regulations are constantly changing, cr...

Greenplum Database | March 09, 2016

Commvault (NASDAQ: CVLT), a global leader in enterprise data protection and information management, today announced technology enhancements to its market-leading Commvault integrated solutions portfolio designed to help enterprises better support and manage "big data" initiatives. Rolled out as part of the newest wave of innovation in the company's eleventh software release, Commvault's new technology will help bring best-practice policy and data management into projects levera...

Computerweekly | January 15, 2018

Construction company Laing O’Rourke has standardised a previously highly fragmented backup infrastructure onto a hybrid on-site/cloud setup based on Commvault. The project, which cost more than £500,000, has enabled it to unify backup for on-site, cloud and endpoint sources, do away with tape, and put in place a solid platform for compliance. The company is currently engaged in 50 construction projects across the UK and is headquartered in Dartford, Kent, with a number of regional si...

https://analyticsindiamag.com | January 14, 2020

AutoML or automated machine learning has witnessed an exponential rise when it comes to being adopted by the organisations. AutoML can be said as the next wave of machine learning which helps to bridge the gap between talent landscape and complex workflows. Previously in one of our articles, we had discussed the functionality of AutoML and how it solves data science problems. Building complex deep learning models from scratch can be said as one of the most time-consuming and challenging tasks in...