Healthcare organizations must embed proactive, systemwide data risk management into AI and digital strategies to protect ...

Adjustments in policy and infrastructure influenced by driver behavior telematic data could influence the frequency and ...

By focusing on data quality, stewardship and governance, universities in low- and middle-income countries can harness AI’s ...

Google popularized the term "knowledge graph" in this 2012 blog post. Since then, there has been a massive momentum around ...

Actions employers should take when assessing and managing the risks associated with employee use of third-party generative AI (GenAI) tools, such as ChatGPT, for performing routine tasks, like ...

There’s been a “targeted, surgical removal of data sets, or elements of data sets, that are not aligned with the ...

Decentralized Clinical Trials (DCTs) are transforming how we collect clinical data, but this evolution brings unprecedented challenges in data quality, complexity, and integration.

NISAR's data will be made freely accessible to people across the world- including scientists, emergency responders, government agencies, and other interested groups.

A recent study indicates that forest management in Northern Ontario is placing timber harvesting above safeguarding natural ...

A global survey of scientists and informaticians reveals growing AI investment across the biopharma value chain, but ...

The data breach affected ICAR data, from recruitments to research projects, on it servers in Delhi and Hyderabad.