Data governance is the process of managing the availability, usability, integrity and security of the data in enterprise systems, based on internal standards and policies that also control data usage.

The amount of data created annually is expected to more than double between 2022 and 2026, according to IDC. The vast majority of that data will be unstructured, and will jump to more than 221,000 ...

For that governance to be effective, it needs to be grounded in a complete understanding of your network infrastructure.​ ...

In today’s rapidly evolving digital landscape, the value of data cannot be overstated. Data has become the lifeblood of innovation, driving decisions, shaping industries, and transforming how we live ...

AI agents, software systems that can carry out tasks on behalf of humans, in some cases entirely autonomously solo or ...

Data governance without robust data quality is essentially bureaucracy disguised as governance. And for those handling data ...

As tools like generative AI become increasingly mainstream, the quality and accessibility of enterprise data has become more important than ever before. Many organizations are rethinking their data ...

Data stewardship is the management and oversight of an organization's data assets, which helps provide business users with high-quality, easily accessible and consistent data. While data governance ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

In today's competitive landscape, your brand isn't just battling others in your industry for the best product. It's also competing with every single one of your customers' previous best experiences.

When it comes to managing data, we need to know where it is – but we also need to know what it is. With the rise in regulatory controls, enterprises now pay more attention to data sovereignty, ...

The ongoing dive into modernity—and all the new technologies and hype trains that come along with it—requires a modern data architecture to support it. With this architecture comes a variety of other ...