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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.

Reexamining Cloud-Only Strategies: Weighing Cloud versus On-Prem Solutions for Health Systems’ Evolving Needs

New Webinar Coming 1/21 at 12 ETPanelists Chuck Podesta, CIO, Renown Health Scott Smiser, CTO, Emory Healthcare Brian Cornell, VP, Advisory Group, Healthlink Advisors

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As healthcare systems increasingly adopt AI and advanced analytics to drive insights, many are facing new challenges with cloud-only infrastructures. The demand for AI-powered data analytics often requires pulling data from multiple systems, which can increase operational costs. The need for high computing power also drives up cloud expenses, potentially eroding the cost savings that originally justified the move to the cloud.

However, some experts argue that these costs can be managed with the right cloud strategy. One key factor is understanding the distinction between different types of data storage. While long-term, infrequently accessed data (sometimes referred to as “cold storage”) is much cheaper to store, frequently accessed data or data that needs to be constantly moved around can quickly increase cloud costs.

In our upcoming webinar, healthcare IT leaders will discuss the future of cloud infrastructure and whether a hybrid cloud/on-premise approach could be the solution. We will explore how health systems can optimize their infrastructure to achieve the right balance between cost-efficiency, data accessibility, and performance.

Join us to learn how to tackle the complexities of AI, data integration, and cloud costs in the healthcare industry. Gain actionable insights into balancing infrastructure costs while improving data accessibility and optimizing AI performance.

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xContinuing Education Credits: Attendees who hold the following CHIME certifications earn 1 CEU: CHCIO, CHISL, CFCHE, and CDH (all levels). Other programs — such as those offered by AHIMA and NAHQ/HQCC — may also award CEUs. Check with your provider.
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