In a world populated by artificial intelligence (AI) systems and artificial intelligent agents, integrity will be paramount.

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

Universities must tighten the quality of the data entered into AI models to improve the output generated by tools such as ...

Leveraging artificial intelligence-powered stochastic methods for clinical data review represents a significant leap beyond ...

In today's digital era, real-time data synchronization has become a fundamental requirement for modern distributed systems. Dileep Kumar Siripurapu makes signif ...

With this we are able to achieve faster data integrity checks without any software overhead. This is indeed very useful from digital verification perspective as just waiting for the software (usually ...

Minima, a pioneering decentralized layer 1 blockchain for embedded systems, announces its partnership with Siemens ...

This article lists the essential practices for data backup and recovery along with future trends and advice on limiting the ...

Yesterday, the U.S. Food and Drug Administration (FDA) updated its website to provide new information on data integrity concerns relating to ...

The disbanding of the Federal Economic Statistics Advisory Committee raising concerns about the objectivity of economic data ...