Covid-19 has accelerated digital transformation like never before. As the supporting pillars of the digital economy, data centers (DCs) have played an important role in propelling this growth. The resulted extensive use of services such as cloud, big data, IoT and AI is prompting DC operators to consolidate high-performance mission critical IT infrastructure in hyper-scale data centers. In practice, data centers are managed and optimized towards two operational objectives: 1) business continuity, serving to evaluate the commercial impact of service disruption, and 2) energy efficiency, serving to evaluate the cost of providing services. AI solutions, made popular by Google DeepMind, have been touted with great potential to optimize the aforementioned operational metrics. However, adopting AI techniques for data center operations and management (O&M) faces substantial challenges in data availability and deployment inhibitors. In this talk, we present DCWiz, a transformative solution that integrates an industry-grade digital twin with emerging descriptive, predictive and prescriptive AI techniques to optimize and automate data center O&M for business continuity and energy efficiency.