In a diverse and dynamic technology landscape, how can companies create a more intelligent approach to data management? Composable data systems based on open standards may be the next big thing for ...

The concept of edge-first intelligence entails embedding critical data and inference models directly into the application or ...

Saisuman Singamsetty specializes in privacy-preserving artificial intelligence, federated learning, and scalable digital infrastructure, establishing himself as a leading figure in intelligent data ...

In 1962, sci-fi writer Arthur C. Clarke famously said, "Any sufficiently advanced technology is indistinguishable from magic." That year, the Atlas computer—the fastest in the world at the ...

: a powerful new framework designed for proactive insight delivery and operational responsiveness. Intelligent Data Automation delivers seamless, scalable, and governed automation that drives reports, ...

Federal agencies are navigating an unprecedented era of data growth. From national security to public health and beyond, data fuels critical decisions and operational effectiveness. Yet, many agencies ...

The programs that were developed with the help of data systems had been created to transmit data elsewhere in a consistent ...

Artificial Intelligence (AI) has revolutionized many industries, enabling applications that seemed unlikely just a few years ago. At the same time, the exponential growth of data and the need for real ...

AI models rely on vast amounts of data, often sourced without explicit consent or compensation for the data's creators or owners. There is evidently a need to ensure transparent practices, enforce ...

A data science course is meant to equip learners with a higher level of positions that are founded on the analysis of data, statistics, and machine learning aimed at addressing intricate problems. The ...