Data and Analytics on an Effective Multi-Cloud Platform: 5 Key Points - Seguridad Mania.com - España y América Latina

Increasing scale for critical workloads drives many organizations to move to multi-cloud environments. But challenges such as cost, complexity, skills gaps, and security often kill multi-cloud projects, especially those involving AI, machine learning (ML) and analytics, long before they deliver any benefits. In this session, VMware and Intel architects will discuss five key elements to building a successful multi-cloud platform based on a reference architecture with VMware Cloud Foundation, VMware Tanzu, new 3rd Generation Intel Xeon Scalable processors, and Intel Optane Persistent Memory. See how this drives a federated learning model for an AI use case with on-premises private cloud platforms that seamlessly scale to VMware Cloud on AWS. And see how the Azure VMware Solution can quickly and dramatically scale out various modern/cloud native app workloads.