Many enterprises are struggling with data silos, regulatory complexities and the rapid evolution of AI and analytics.

Implementing agentic AI in enterprise requires a strategic framework and careful orchestration to maximize its value and avoid common pitfalls.

If you’ve been part of the data management and governance world for any amount of time, you’ve likely come across the sharp insights and structured thinking of Melanie Mecca. Her work has been a ...

Enterprise blockchain gains traction as new hybrid blockchain solutions come to market and interest in tokenization increases.

As AI reshapes industries, DatAInfa empowers organizations with AI-driven data governance and compliance, ensuring data is ...

I’ve been deeply involved in implementing data lineage using several technologies throughout my career, but things are ...

In an era where data is increasingly residing in the cloud, the importance of robust security measures cannot be overstated. As businesses continue to leverage the flexibility and scalability of cloud ...

Whether reshaping how Fortune 100 financial institutions handle data or driving enterprise data modernization to make it ...