We all know that imaging data is growing at an unprecedented pace with AI accelerating the curve. For healthcare organizations, this means more pressures on storage, infrastructure, performance and long-term planning. Our panel of imaging leaders will introduce a new model that rethinks how imaging data is stored and accessed, with the goal of supporting both innovation and cost predictability. They will explore the clinical, operational, and financial implications of managing imaging data at scale—especially as AI becomes integrated in daily workflows and ever-present AI learning.
What You’ll Learn:
- Why new thinking around per-study pricing and private cloud proximity will help enterprise imaging
- How to align storage strategy with long-term clinical and business goals
- How imaging growth and AI are reshaping storage requirements
- Why performance variability matters—and how to eliminate it
- How to avoid common budget and planning pitfalls
Why this matters:
TierPoint has more than 40 data centers nationwide. As a strategic business to Pure Storage, TierPoint is the first to commercialize this pay per study model. This allows healthcare providers to reap all the benefits of security, reliability and simplicity in a private cloud environment with a fixed pricing model per study.
Who should watch:
- Imaging Directors and PACS Administrators
- CIOs, CMIOs, and Clinical IT Leaders
- Finance and Procurement Executives
- AI and Informatics Leads
- Teleradiology and Group Practice Decision Makers
- Enterprise imaging, PACS and VNA Providers
Panel:
 Larry Sitka |  Mark Dobbs |  Linda Metzler |