Healthcare organizations can scale AI by reducing data silos, improving interoperability, and building trusted data foundations for better outcomes.

New three-year agreement expands the companies’ partnership to enable secure, scalable reuse of clinical trial data for ...

Data4Life and Monash Health have partnered to optimize clinical trial design and execution, complemented by educational workshops and professional training programs, with a shared commitment ...

Monash Health, the largest public health service in Victoria, Australia, has signed a Memorandum of Understanding (MoU) with Data4Life, ...

Amid advances in AI and quantum, CISOs can build resilience with quantum-safe cryptography, AI trust and governance ...

Autonomous AI is outpacing data safeguards built for conventional technologies, prompting a change to shift-left governance ...

To optimize success, take a federated approach to your data governance that includes identifying stewards with intention and ...

Effective pest control depends on local teams but requires national oversight and funding. A federated system could ...

The Ministry of Jal Shakti has released a policy to govern data sharing, interoperability and stakeholder access under the Sujalam Bharat Digital Public Infrastructure.

AI adoption is accelerating across healthcare, but so are the security risks tied to it. AI agents may perform actions they aren’t authorized to do, and “shadow AI,” or unauthorized use of AI tools by ...

CPTL focuses on the ‘throughput’ of capital deployment, not just the ‘output’. The MCAR framework is built on three pillars of capital deployment: 1) Balance Sheet Strength, 2) Investment Efficacy, ...

Much of what AI knows about the world comes from data most people never see and from technical processes that determine what’s included or left out. As AI becomes increasingly influential in daily ...