Researchers Using AI: Don't Let Data Access Derail Clinical Breakthroughs

The power of artificial intelligence (AI) is enabling clinical breakthroughs that identify biomarkers without invasive procedures, diagnose skin cancer with a photograph, predict adverse clinical events, and recommend treatments based on current literature. Getting these innovations to market requires access to large, complex data sets to train the AI models. One of the gating factors in getting clinical insights to the bedside is the data access challenge researchers face. The large data sets required to train the AI algorithms must be read for each AI model training run.

In traditional legacy hard disk drive (HDD) arrays, this results in delays for researchers and tedious, time-consuming work for IT staff. All-flash arrays (AFAs) allow AI researchers to use their data to increase their models' accuracy without latency, saving both time and money.

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