Virtual Desktop Success in Hospitals

Smart companies are adopting cloud-native practices to move fast and stay resilient. But, what does an innovative cloud-native strategy look like at scale? And, can your organization successfully roll out these new practices to dozen (even thousands) of IT professionals.

For organizations of all kinds, the transition to multi-cloud and SaaS is highlighting the inflexibility, low bandwidth capacity and cost-ineffectiveness of their legacy WAN and branch architecture. Enterprises need increased application-driven and cloud-intelligent connectivity with increased and cost-effective bandwidth across their WAN edge. SD-WAN is quickly becoming the new standard for the WAN and branch enabling cost savings, increased reliability and flexibility for their cloud and branch office connectivity needs. Yet many SD-WAN projects are delayed because teams have questions about the technology, the vendor landscape, and how they’ll manage this new approach to managing the WAN.

Raja Roychoudhury, Head, Infrastructure Software Services at MindCraft, explains how IBM Cloud Private can be used to leverage on-premises private cloud infrastructure to run your cloud-ready application.

Self-service Analytics BI is often quoted by many - ie, allow users to discover and access data without having to ask IT to create a data mart, or by allowing users to directly export/copy the data from the data sources themselves into their analytics tools and systems. The challenge is not just to provide access to the data – even from Excel this can be done - but to do this in real time without creating processing overhead, while getting trusted data, with the best response time possible, in a managed, governed and secure way in order for these users to trust the output of the analysis. Data Virtualization provides a data access platform that allows users to access the data they need from multiple data sources, when they need it, and with the best possible response time. In addition, a Data Marketplace built on top of this proven technology enables Self Service Analytics by exposing consistent and governed data sets to be discovered by users, providing the trusted foundation for a successful Self-Service Analytics initiative.