Seamless Data Architecture Supports Artificial Intelligence Success

While large, rich, multifaceted data sets are vital for creating accurate machine learning models and validating the accuracy of AI results, storing all of this data in a secure, accessible, interoperable manner can be a major undertaking for healthcare organizations.

As algorithms develop the capacity to more and more actionable insights from previously untapped data assets, healthcare providers will need to keep pace by developing seamless storage and transport pipelines for larger volumes of this highly valuable commodity.

“Artificial intelligence in healthcare has absolutely exploded over the past year,” said Josh Gluck, vice president of global healthcare technology strategy at Pure Storage.  “There are people doing amazing things in proteomics, radiomics, genomics, and so many other areas that have the potential to drastically improve the way we deliver care.” READ MORE ON: HEALTH IT ANALYTICS

Code_data.jpg
DataYusra Hamid