Bio-IT World December 15, 2023
Contributed Commentary by Eric Herzog, Infinidat
One of the major side effects of the massive increase in the use of artificial intelligence (AI) for basic research, translational research, clinical research, pharmaceutical development, and patient care is the tsunami of data that will be created. All of this data needs to be stored somewhere, whether on-premises or in the cloud—or, ideally, in a combination of the two for IT to get the best of both worlds.
This exponential proliferation of data at unprecedented levels with the industry’s embracing of AI creates challenges for medical and scientific institutions. Capacity, performance, availability, complexity, cyber resilience, and cost are core issues at the forefront of any information...
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