vRealize AI Cloud: Driver of the Self-Driving Datacenter

One of the greatest challenges of delivering service level expectations in the modern cloud era is the ability to maintain manageability and control of a broad range of applications and the multi-cloud resources they consume. Traditionally, enterprises have relied on management tools that use a series of static policies and artificial boundaries to tune and operate infrastructure and manage apps throughout their lifecycle. However, in an agile, multi-cloud world, tradition can be increasingly complex and a hinderance to innovation. Harnessing the power of machine learning (ML), VMware vRealize AI Cloud analyzes the environment’s unique operational characteristics then continuously optimizes it in line with stated service level objectives. Join us as we explore how vRealize AI incorporates machine learning into VMware's cloud management portfolio to deliver the next-generation self-driving datacenter. Meet our presenter: Jad El-Zein is a Technology Director in VMware's Cloud Management (CMBU) Office of the CTO. In this role, Jad focuses on driving CMBU's product vision and strategy, the advancement of machine learning and emerging technologies, and leads the Advanced Development Team within the Office of the CTO.