PALO ALTO, Calif.--(BUSINESS WIRE)--TIBCO Software Inc., a global leader in enterprise data, empowers its customers to connect, unify, and confidently predict business outcomes, solving the world’s ...

SANTA CLARA, Calif., June 23, 2020 /PRNewswire/ -- Hitachi Vantara, the digital infrastructure and solutions subsidiary of Hitachi, Ltd. (TSE: 6501), today announced significant momentum in its line ...

Top-notch data operations are essential for enhanced decision-making, operational efficiency, and fueling AI. Here’s how IT leaders are evolving their data management strategies to make the most of ...

In June last year, Apple decommissioned iTunes — its 18-year-old media software that enabled individuals to manage data on their iOS devices using a computer (Mac or Windows). And even though the ...

Many enterprises are making long-overdue investments in data management software to prepare for the requirements of AI, according to new research from global AI-centered technology research and ...

TORONTO--(BUSINESS WIRE)--Data Sentinel, the leader in sensitive data management innovation and provider of the Data Trust and Compliance platform for businesses, today announced the close of a $3.6 ...

From industry titans Cisco Systems and VMware to startups IP Infusion and TidalScale, CRN breaks down the most important software-defined data center vendors in 2020 who are transforming the industry.

ClinPlus's latest 3.3 release of their SAS-based data management and coding software promises greater data throughput and greater productivity for the management, analysis and coding of clinical trial ...

Network storage vendor EMC on Monday introduced a new data storage management product that is the fruit of three software acquisitions the company has made in recent years. EMC will launch its ...

Quick Summary Looking to strengthen your organisation’s approach to data protection and regulatory compliance? Discover the 10 best data privacy management software solutions for enterprises in 2025 ...

Test data management (TDM) is a crucial practice for ensuring compliant data and providing uniformity to test data. In the same way testing environments and data models are continuously evolving, test ...