Gartner sees the core technologies needed to validate and quantify cyber-risk maturing quickly as more organizations focus on measuring their cybersecurity investments' impact. CISOs tell VentureBeat ...

Gabriel Gonzalez, CTO and technology strategist, advises global firms on AI, cloud, and data to drive innovation and digital transformation. In an era where artificial intelligence and machine ...

Moving from first to second generation outsourcing capabilities is a long-term process for many firms, requiring a much stronger governance role from sourcing and vendor management professionals. In ...

In today's world, data is an essential resource for businesses of all sizes. Collecting, analyzing and using data to make informed decisions is critical to success in many industries. However, with ...

How do data stewardship and data governance compare? Your email has been sent Data stewardship and data governance are important for any organization that wants to derive the maximum value from its ...

Boost your organization's potential with comprehensive data governance, from C-suite support to data quality assurance, retention rules and more. As critical as data is for organizations to flourish ...

What Is Data Integrity & Why Is It Important? (Definition & Types) Your email has been sent Data integrity ensures the accuracy and reliability of data across its entire life cycle. Learn more about ...

Data privacy is a necessity for K–12 schools, especially when managing student records around academic performance, attendance and health information. But data governance is also an essential ...

Enterprise enthusiasm for generative AI tools is no longer speculative - it is systemic. A Microsoft-IDC study shows adoption climbing from 55 percent in 2023 to 75 percent in 2024, while Gartner ...

ORLANDO, Fla., May 7, 2025 /PRNewswire/ -- SAS INNOVATE -- As AI accelerates the pace and proliferation of innovation, the need for AI governance has never been more urgent. Lack of visibility into AI ...

Back in 2006, British mathematician Clive Humby stated that data was the new oil. Like oil, data isn’t useful in its raw state and must be refined, processed, and distributed to deliver value. Nearly ...