Successfully moving to a public cloud is a long-term investment in time, planning, effort and adoption and requires new paradigms and tools. Organizations that embark on this public cloud journey must also be prepared to meet the technical and business challenges presented by regulatory requirements, legacy applications, latency and data sovereignty, among others. Many companies start off with a DIY cloud strategy. They typically end up spinning cycles architecting and rearchitecting because they weren’t aware of all the pitfalls or how the various cloud components work together. This Google Cloud offering explores solutions to help identify which GCP services have the capabilities best suited for an organization's unique needs. With a focus on discussion and whiteboarding, this is your chance to get your specific questions answered.

Get an introduction to Google Cloud VMware Engine, discuss common use cases and best practices and see an operational demonstration.

Today's consumers expect that you know who they are, answer their questions, fix their problems, do it quickly and with a minimal amount of effort. For call centers, meeting these expectations is challenging due to spikes in demand, complex processes and lack of automation. Artificial intelligence (AI) is a key technology that can be used to address these challenges, increase CSAT and Net Promoter scores, decrease agent turnover and reduce process inefficiencies through the use of virtual agents and augmentation of agents.