As health systems increasingly rely on AI and advanced analytics to drive insights, some are discovering new complexities in a cloud-only infrastructure. Pulling data from multiple systems to power AI initiatives can increase operational costs, as AI’s demand for high computing cycles can drive up cloud expenses. For some, this has eroded the cost savings that originally justified the cloud transition. Others, however, contend that costs can be contained by how you structure the deal, and say it’s important to realize that the storage of data which is essentially put in long-term parking is cheaper than that which must be continually accessed and moved around. In this webinar, healthcare IT leaders will discuss the future of the cloud and whether a balance of cloud/on-premise models is the way to go. We’ll explore how health systems are optimizing their infrastructure to balance costs, data accessibility, and performance. Join us for insights on how to navigate the challenges of AI, data integration, and cloud costs.
Speakers:
- Chuck Podesta, CIO, Renown Health
- Scott Smiser, CTO, Emory Healthcare
- Brian Cornell, VP, Advisory Group, Healthlink Advisors
Podcast: Play in new window | Download (Duration: 58:31 — 40.2MB)
Subscribe: Apple Podcasts | Spotify
Share Your Thoughts
You must be logged in to post a comment.