The data wilderness hits major technology initiatives like AI projects when obstacles are created by data accuracy, quality, ...

Opinion: Akerman's Melissa Koch explains why the quality of data in legal artificial intelligence matters more than the ...

From misclassified data to AI use without adequate quality assurance, IT leaders looking to make the most of data-driven ...

The biggest challenge to AI initiatives is the data they rely on. More powerful computing and higher-capacity storage at ...

While cloud computing is one of India's fastest-growing markets, demand for secure, scalable and cloud-agnostic data ...

The Nigeria Data Protection Commission (NDPC) has fined MultiChoice Nigeria N766,242,500 for breaching the Nigeria Data ...

By using a multi-ID approach, curation enables advertisers to work directly with supply-side platforms (SSPs) to ...

In this increasingly digitally integrated world, the banking industry is experiencing an unparalleled transformation, and leading this transformation is Big Dat ...

How the application of artificial intelligence, broader use of real-world evidence, decentralized clinical trials, master protocols, and risk-based quality monitoring, together with strong ethical ...

Artificial intelligence is “poisoning data’’, the university regulator has told Australian researchers, as the federal ...

Managing data quality is challenging, especially for pharmaceutical companies that work with billions of records. To manage data quality effectively, transparency is crucial.