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 ...

AI governance is moving into the decision itself, defining where AI can act, where people step in and who is accountable for ...

Data fabric is a powerful architectural approach for integrating and managing data across diverse sources and platforms. As enterprises navigate increasingly complex data environments, the need for ...

The global pandemic unexpectedly forced many organizations to quickly adapt to remote working, accelerating the transition to a distributed workforce. This trend, coupled with the recent surge of ...

AI governance tells you whether your AI is fair, accountable and compliant. Agent security tells you whether your AI agent ...

AI gateways extend API gateway principles to govern model access, prompt inspection, and agent tool use at runtime.

Data governance isn't about making the right decisions. It's about making decisions the right way. As a practice, data governance has grown over the years from relatively simple policies for data ...

According to recent DBTA research, 59% of organizations are actively piloting or scaling AI initiatives across the enterprise. Yet, fewer than half of these initiatives are succeeding for most ...

The three slices of the data pie -- data governance, data privacy and data security -- are often lumped together -- but although they naturally overlap, there are crucial differences that are ...

When was the last time your law firm took a hard look at its data management practices? Chances are, not recently enough. Today, law firms face unprecedented challenges in privacy, security, and ...

Within the first two decades of the 21st century, the world has seen what could be likened to the Big Bang of data. The confluence of digital and mobile technologies for collecting data, as well as ...