The advent of artificial intelligence (AI) is bringing a sea change to the field of healthcare, bringing advancements to areas ranging from patient diagnosis and treatment to drug and vaccine development.
Join us to learn about AI healthcare applications, how data quality and diversity affect AI algorithms, and about AI data challenges around collection, privacy, security, and interoperability. Explore how to:
Choose a cost-efficient, scale-out secondary storage option such as the cloud for non-routinely accessed data
Tier and archive data so it remains fully accessible as files, enabling researchers and clinicians to always find the historical data they need
Evaluate how file data is growing over time and make better data storage investments.