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Organizations that implement infrastructure to support AI without considering its impact on workflows will struggle to prove value. The right processors should be flexible enough to get the job done, and open standards help.

Healthcare providers know that artificial intelligence has the potential to improve personalized medicine. But safe adoption must be a priority.

Nutanix Vice President of Sales for Healthcare and SLED Scott Ragsdale shares his takeaways from the company’s recent Enterprise Cloud Index.

Advances in artificial intelligence mean today’s wearables can generate meaningful insights, not just create streams of data points. That has opened new possibilities for remote monitoring — and shows promise for preventive care.

When health systems use artificial intelligence to analyze data at the point of collection, they can act quickly to keep medicine in stock, patients on track and workers safe.

Three academic perspectives offer insights on the persistent misconceptions about artificial intelligence in healthcare.

Rising cloud complexity is forcing hospitals to adopt stronger FinOps practices and governance to align IT spending with clinical and financial priorities.

From using artificial intelligence to enhancing patient experiences, healthcare organizations are looking for ways to modernize that create efficiencies while improving care.

Many healthcare leaders have already gained experience from several AI pilots. Here’s where they stand on the technology today.