Meet the Speakers
As organizations evaluate SAP Cloud ERP, many assume they must move everything to a hyperscaler to access innovation and a true cloud operating model. In reality, SAP Cloud ERP Private can run in your own data center or co-location facility while delivering the same software capabilities, lifecycle management, and AI innovations as hyperscaler deployments. In this on‑demand webinar, SAP’s Rakesh Rushan and HPE’s Jim Loiacono join SAPinsider’s Robert Holland to explain the SAP Cloud ERP Private, Customer Data Center (CDC) option—including how it works, where it fits, and why many customers see it as “cloud on‑site” rather than legacy on‑prem.
You’ll hear how leading organizations are bringing a full cloud experience—including embedded and generative AI—into their own environments, keeping ERP close to critical non‑SAP systems while SAP manages the full stack as a subscription service. The speakers walk through practical considerations such as data residency and sovereignty, total cost of ownership versus hyperscaler options, time‑to‑value, and support experience, so you can decide whether running SAP Cloud ERP in your existing data center aligns with your long‑term architecture and risk strategy.
Why watch this webinar on demand:
– Understand how the SAP Cloud ERP Private, Customer Data Center option works and how it compares to hyperscaler-based deployments in terms of capabilities, operations, and SLAs.
– See how “cloud on‑site” lets you keep SAP Cloud ERP physically in your own or a co-location data center while SAP delivers a fully managed cloud service with up to 99.9% application‑level availability.
– Learn how CDC helps you meet stringent data residency, privacy, and sovereignty requirements by keeping ERP data in your chosen location while still consuming SAP’s continuous innovation and Business AI.
– Explore how co‑locating SAP and non‑SAP systems can reduce integration complexity, latency, and data egress costs, especially for analytics and large‑scale AI workloads.
– Get practical guidance on when CDC is a better fit than hyperscalers—based on data dependencies, risk and compliance, time to value, and your existing data center and infrastructure investments.
