As enterprises race to harness the transformative power of AI, the data centers that power these mission-critical workloads are facing unprecedented demands. From increasing power and cooling requirements to the need for lightning-fast deployment and optimization, the traditional approaches to data center design and management are no longer sufficient. In this exclusive Partner Spotlight, WWT Senior Director of AI Mike Trojecki talks with Head of Business Development, NVIDIA Energy, Ahsan Yousufzai, and Schneider Electric's Vice President of Solution Architects, Joe Reele, about how you can position your data center as a key enabler of AI.

Businesses across the world are turning to automation to drive efficiency and simplicity. But for many, automation doesn't work as quickly or seamlessly as they'd like. In most cases, that's because leaders are thinking of operations from an operations and infrastructure perspective. There's a third equally critical component — automated platforms — that must be considered. Join WWT Senior Practice Manager for Automation Phillip Palmer as he discusses how automated platforms relate to other core areas of automation, such as infrastructure and operations. Phillip also talks about the teams and roles that stand to be most impacted by automation initiatives and how organizations can work toward automation unlocking a self-service model moving forward.

The relationship between AI and cloud is increasingly sybmiotic. Growing investment in cloud is driving faster adoption and spend on artificial intelligence (AI), while the majority of AI applications are developed in the cloud. AI can be used to automate complex tasks in cloud computing, optimize system performance, and improve user experience; while cloud computing provides the computing resources and infrastructure needed to train and deploy AI models at scale. Join Neil Anderson, who leads WWT's cloud and infrastructure practice, as he dives into the implications AI is having on cloud, and vice versa. Neil talks with detail about how AI is affecting cloud cost management and optimization, how IT leaders can secure use of AI in their cloud solutions, how high performance architectures needed to run AI will impact cloud strategies and common AI applications best suited for the cloud.

Join us for the Virtual Lab Workshop! During this exclusive session, the host will introduce the Cisco RoCE Networking lab. This lab is designed to provide an environment to gain hands-on experience with the fundamental features of Cisco RoCE Networking Lab. This lab will demonstrate how the Cisco Nexus Dashboard Fabric Controller (NDFC) can easily set up an AI/ML fabric with a simple point-and-click GUI. This one-hour event is limited to 60 participants who will have the opportunity to engage in Q&A during the session. Attendees are encouraged to actively participate by launching the lab themselves alongside the host for a hands-on experience.