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.

Generative AI initiatives are taking flight across the world as organizations of all kinds explore new and innovative ways to put the disruptive technology to use. But has anyone stopped to think if their IT infrastructure is ready to meet the intense data demands required of advanced AI solutions? Join Derrick Monahan, WWT's data strategy and high-performance architecture practice manager, as he talks about the vital nature of high-performance architecture — the merger of high-performance computing (HPC) and AI and machine learning (ML) workstreams into one architectural framework with the core IT infrastructure components needed to unlock the seemingly unlimited world of possibilities made possible by AI. Derrick also talks about the role of data and data governance, real world use cases being used in today's business landscape and ways you can put all of it into action.

The extraordinary popularity of generative AI has organizations of all kinds exploring new and innovative ways to put it to use. But rarely are AI use cases a simple switch to turn on. Often, they take months, if not years to implement. Wouldn't it be nice to have a head start? Join WWT Data Science Manager Ajay Dadheech as he dives into WWT's AI R&D program, which seeks to investigate the one- to three-year horizon of the AI and machine learning space. Ajay talks about what our AI R&D program means for organizations and their application of AI in their businesses, research initiatives in the pipeline and how clients can expect to interact with them.

In an era of rapid transformation and escalating complexity, enterprise IT leaders are at a pivotal juncture — simplify or risk falling behind. But simplification doesn't necessarily mean fewer tools. It means tightly integrated and intelligent solutions that create a unified experience that drive action. Join Jonathan Davidson, Cisco's Executive Vice President and GM of Cisco Networking, as he talks about Cisco's networking strategy that focuses on creating a great unified experience. Jonathan also talks about the role data and AI play in the future of networking and how the partnership between WWT and Cisco is rooted in our shared goal of driving value for our customers while helping them solve complex IT and business problems.