Framework Provides an Abstraction Layer for Accessing State Data Sourced from Multiple Domains and Consolidated in Cloud Repositories for Analytics Powered by Machine Learning and AI ONUG, the voice of the Global 2000, is focused on the application of Artificial Intelligence (AI) to overcome the operational challenges of ensuring application performance in complex hybrid multi-cloud environments that span multiple independent operational domains. At ONUG Fall 2019 in New York City (on Thursday, October 17 at 9:40 am), the AIOps for Hybrid Multi-Cloud Working Group will demonstrate a multi-domain data virtualization framework that was initially presented at ONUG Spring in Dallas this past May. Hybrid multi-cloud deployments present IT operations teams with unique challenges because application delivery spans public networks and cloud infrastructure that the enterprise doesn’t own, operate or control. The first step in applying AI to automate performance monitoring is to aggregate, normalize and enrich select state data that is sourced from many points across multiple independent domains. This data, which is maintained in a set of cloud-based repositories, is accessed via a virtua...