White Paper: How Healthcare Organizations are Improving Time to Insights with Data Fabrics

Healthcare and life sciences organizations churn through mountains of data every minute of every day. This creates great strain on their systems to assemble that data across disparate formats and use it effectively for deep learning algorithms. Using an innovative data fabric—teamed with high-performance infrastructure—can help unleash the power of deep learning to improve time to insights for demanding and essential use cases.

Astonishing advances in healthcare and life sciences have resulted in massive improvements in a wide range of applications, from analyzing sophisticated genomics to finding the key to rapid and safe vaccine development. It has also resulted in the creation of untold amounts of both structured and, especially, unstructured data.

Having all that data is both a blessing and a curse for scientists, technicians, IT professionals and business stakeholders in healthcare and life sciences. With those astounding amounts of raw data comes the opportunity to find ways to cure diseases and improve the physical quality of life for generations to come. Research indicates that healthcare and life sciences organizations are on the cutting edge of using data strategically to achieve critical goals: Nearly 41% of healthcare and life sciences organizations say they have created a data-driven organization—more than twice that of the data-rich financial services sector.

Having all that data also stretches the boundaries of what existing IT systems can do to promote those advances. Enter artificial intelligence—or, as often is the case in healthcare and life sciences, deep learning. Deep learning algorithms are the key to mining and leveraging all that data. But scientists and other technical teams often find they can’t access the data tied to those algorithms for a range of technical reasons, especially data management complexity.

That’s why healthcare and life sciences organizations are looking for new ways to transform the way their teams use digital data to glean previously unimaginable insights that result in the kinds of clinical improvements that make headlines—and improve healthcare quality around the world.

Two things are essential to unleash the power, utility and functionality of deep learning algorithms: high-performance infrastructure and a flexible, automated data management platform optimized for deep learning in healthcare and life sciences.

Read more from our latest white paper with NVIDIA & Dell Technologies: How Healthcare Organizations are Improving Time to Insights with Data Fabrics.