In the increasingly complex world of asset management, data integrity is paramount and underpins all facets of operations – from decision-making to regulatory compliance and investor satisfaction. As ...

The pharmaceutical industry’s approach to data integrity has been historically manual, leveraging physical documentation and potentially unreliable paper-based ...

Problems with data integrity are costing large organisations about $390,000 a year on average. What are firms doing to stop bad data from derailing AI? Data flaws can have broad implications and ...

As the adoption of artificial intelligence (AI) and machine learning (ML) grows exponentially across industries, the data these technologies feed on is also under scrutiny. AI provides sharp insights ...

The draft guidance provides recommendations for data integrity for clinical and bioanalytical portions of bioavailability and bioequivalence studies submitted with drug applications. On April 1, 2024, ...

An edge-based blockchain tool makes IoT data tamper-proof, giving AI the trusted inputs for accurate and reliable decision-making in real time. Artificial intelligence is no longer confined to labs or ...

Winners include organizations using trusted data for AI-powered climate risk assessment, advancing sustainability reporting, and giving underserved communities access to vital services "Trusted data ...