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.

AI initiatives across the world are taking flight and being pushed aggressively by C-level executives who recognize the sink or swim nature of adopting the generational technology to drive innovation. But for too many of those leaders, a gap exists between what they want to execute and what they need to execute. Join WWT AI experts Tim Brooks and Brent Collins as they talk about the discrete steps that executives need to take to position their organization for AI transformation. Tim and Brent talk about real-world examples of how other businesses are pursuing AI, the importance of intellectual and organizational transformation, and the vital role of creating an AI center of excellence.

The rapid evolution of AI technologies is transforming enterprise operations and reshaping the data center landscape. As businesses look to harness AI's full potential, critical questions around data center performance and capacity arise. Join WWT Senior Practice Manager for High-Performance Architecture Jeff Fonke as he talks with Cisco Fellow and Chief Architect of Global Solutions Engineering Matt Gillies as they discuss how you can unify networking, compute, security and observability to deliver AI-ready data centers.​ Jeff and Matt also talk about AI Pods that can accelerate AI model deployment with ​pre-validated, full stack systems; and other Cisco innovations making an impact on the AI landscape. ​

The incredible potential of AI to drive generational transformation has the C-suite scrambling for ways to best position their organizations for success. But readiness is just half the battle — real business and technology decisions must be made to drive success past the finish line and beyond. Join WWT AI experts Tim Brooks and Brent Collins as they discuss the key technology decisions executives must guide for AI transformation to come to fruition, such as buying or building AI models, cloud vs on-prem deployment models, data architectures and management strategies, security and building IT infrastructure that can handle AI workloads.

Organizations everywhere are working at a fast pace toward achieving the goal of incorporating AI into their business. Before they can successfully do this, leaders need to understand what AI is, what use cases will drive the most value, and what business outcomes are they trying to achieve. In addition, businesses should consider what changes will need to be made from an IT infrastructure standpoint to enable their aspirations. Join Intel's AI Strategy and Enablement Lead, Radhika Anand, as she talks with WWT's Jeff Fonke and Matt Halcomb about the complexity behind many of today's AI initiatives and why it takes more than a comprehensive tech stack to make them work. Radhika also talks about how AI will transform current-state IT architectures and identifies areas leaders must prioritize today to move fast tomorrow with AI.

AI strategies are taking flight across all industries, but very few are moving at the same speed. Whether you're a slow mover or fast learner, learn how using Dell's Validated Designs for Generative AI can help you get where you need to go faster and with less risk.

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.

The rapid advancement and adoption of generative AI is forcing CEOs and other executive leaders to move swiftly to transform their businesses digitally and take chances in the name of innovation—all while doing so in a responsible and secure way. We invite you and your colleagues to join us at this webinar and listen to leading technology experts from WWT and Dell discuss AI readiness and the role of high-performance architecture (HPA) in helping organizations move faster to ROI with AI.

Hewlett Packard Enterprise (HPE) and Intel recently completed development of the Aurora supercomputer at Argonne National Laboratory — the largest computational machine ever built in the history of humankind. The supercomputer has massive implications for pushing the boundaries of science. But what does it mean for business? Join Uli Plechschmidt, HPE's Worldwide Product Marketing Manager for Parallel HPC and AI Storage, and Gretchen Stewart, Chief Data Scientist within Intel's Public Sector organization, as they talk about how high performance computing, such as is being used in the Aurora supercomputer, will play a vital role in pushing forward enterprise AI initiatives. Uli and Gretchen also talk about how organizations can start working toward integrating high performance computing into their own teams and the implications its having on cloud and the data center.

AI development often involves diverse tools and frameworks that necessitate a flexible and portable infrastructure. Learn from Technical Solutions Architect Steve Younger about why the Kubernetes platform is inherently designed for flexibility and portability, making it highly suitable for managing AI workloads across different environments.

A boom in artificial intelligence (AI) and machine learning (ML) applications being utilized by the enterprise is driving demand infrastructure that can keep up. No doubt, AI and ML have extraordinary potential for business growth. But it's not as simple as you might think, as many business leaders are finding out the hard way.   Join Earl Dodd, WWT's HPC and supercomputing practice lead, to talk about the critical need for high-performance computing, storage and data analytics for business leaders looking to squeeze the most value out of AI and ML investments. Earl also talks about practical trends and industry-specific use cases for high-performance computing, and how you can begin to implement the game-changing technology within your organization.   Earl has over 44 years of experience in HPC and supercomputing and is a frequent speaker and expert panelist at national and international trade shows, conferences, and marketing events. 

AI is now fully in the enterprise age, spurring business leaders of all kinds to think strategically and drive AI initiatives that will transform their organizations. While at NVIDIA GTC, WWT's Jeff Fonke caught up with Senior NVIDIA Alliance Manager for HPE Andrew Taylor to talk about HPE's new enterprise-class, end-to-end AI-native generative AI portfolio and how organizations can best leverage the rapidly evolving AI ecosystem. Jeff and Andrew also talk about key themes and learnings from NVIDIA GTC and how they can be applied to AI strategies today.