A matrix for assessing whether AI systems meet governance duties and deliver value for purpose, people, profit and planet.

Introduction Tribal people in India face a growing risk of multimorbidity, primarily from cardiovascular diseases (CVD) due to changing lifestyles and unique socio-cultural and political factors. We ...

Some leaders approach AI as an IT project. Integrate, then deploy. But the technical side is only part of the equation. AI is ...

Salesforce’s acquisition of Informatica shifts the data foundation from being strategic to more structural, as the customer ...

Radiation therapy remains a central modality in cancer treatment, but normal-tissue toxicity and long-term stochastic effects ...

Over 3.25 million have been enrolled for the ID as authorities advance implementation of the Digital Governance and ...

Objectives Elective non-emergent surgical wait times have increased across countries such as Canada, straining operating room ...

In this free webinar, see how automation can help protein crystallography teams meet ever more demanding throughput goals.

The next phase of AI in education will be decided not by the sophistication of the technology, but by the quality of the ...

With the accelerated popularization of higher education and the evolving employment market, the employment of university students is regarded as a crucial factor influen ...

Data governance is a system to define who within an organization has authority and control over data assets, and how those data assets may be used. It also encompasses the people, processes, and ...

AI governance is proving its value to organizations. The promulgation of artificial intelligence governance legislation, regulations and standards combined with increasingly complex and demanding ...