Many organizations have formal data governance programs in place, yet they struggle to translate policy into business impact. That’s often because data governance is still viewed as a back-office ...

Regardless of what's happening from a regulatory perspective, businesses want to succeed at the use of AI and data. One of the ways to achieve that is by defining a standard with the quality of the ...

Part 1 of CRN’s Big Data 100 takes a look at the vendors solution providers should know in the data analytics and business ...

As enterprises rush to deploy copilots, generative AI platforms, and automated workflows, many security teams remain focused ...

Your AI isn't just learning from your data; it’s making dozens of untracked copies of it, leaving sensitive customer info ...

The arrival of DeepSeek’s R1 large language model (LLM) shocked the global AI ecosystem, causing many in the U.S. and Europe to reevaluate how we approach AI development. While LLMs from large ...

OneTrust today announced its Data Use Governance solution, a set of capabilities designed to close the gap between traditional data governance and the real-time compliance demands of AI. Data Use ...

Data governance is a big task. Where does the CFO fit in? I know what you’re thinking: “Data governance is not a CFO’s job.” You’re right. It’s likely not in the job description. However, as both ...

As lawyers continue to give AI tools a greater role in their work for clients, law firms and legal departments must navigate ...

Generative AI is designed to amplify user potential while still requiring users to evaluate its results. If a chatbot's output is insufficient or ill-advised, an employee using it for a business task ...

AI hype fades quickly when data ownership, quality and governance aren’t in place.

Clinical data warehouses maximize veracity via schema-on-write and ACID guarantees, but ETL rework, limited modality support, ...