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.

The recent spate of large revisions of national income data, like a 100 basis point upgrade for real GDP growth in FY24, has ...

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

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

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 ...

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

The increasing reliance on large-scale data processing and cloud migration has made high-throughput data transfer solutions a ...

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

AI can improve data integration by automating and quickly accomplishing what used to be manual or time-consuming tasks.

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