Agentic AI systems promise to enhance human productivity by automating complex tasks through intelligent reasoning.

The rise of cloud computing, data mesh, and especially data lakehouses all reflect the massive efforts to adopt architectures that will keep pace with the exponential of data constantly growing. But ...

Raghvendra Tripathi is a principal enterprise architect at one of the largest U.S. health insurance providers, where he specializes in designing intelligent, data-driven systems to optimize patient ...

Ensuring data quality is an important aspect of data management and these days. DBAs are increasingly being called upon to deal with the quality of the data in their database systems more than ever ...

AI adoption has moved from the margins to the mainstream. Many organizations are piloting generative AI, exploring agentic systems and physical AI in robotics and automation, and extending investments ...

Siddharth Rajagopal, EMEA& LATAM chief architect at enterprise data management company Informatica says a strong data ...

To establish a consistent approach to assess, manage and improve data quality across the data lifecycle, covering a wide spectrum of data types, and taking into account the blurred line between data ...

Keeping track of all your data -- where it's been, where it's going, who accesses it, and what they do with it -- is neither fun nor exciting. But it is a necessary substrate for holistic data ...

Telmai's new Data Reliability Agents deliver AI-ready data at the lake, validated in real-time, with autonomous detection, resolution, and natural language interfaces for agentic workflows. Agentic AI ...