Businesses everywhere are looking to quickly adopt and scale AI initiatives. But as the AI ecosystem rapidly evolves, the need for the right AI solution that delivers the best ROI becomes paramount, which adds even more complexity to delivering against your strategy. Join experts from WWT and Intel as they discuss how business leaders can more quickly identify and move forward with the "right" AI solution.

C-level leaders are looking to artificial intelligence (AI) to accelerate automation within their organizations. But in the rush to adopt AI, many forget that the success of both AI and automation hinges on an organization's data maturity. Join Anshul Chaturvedi, a principal consultant with WWT focused on data, analytics and AI, as he talks about how organizations can mature their data capabilities to maximize their AI and automation investments. Anshul breaks down the interplay between automation and AI, pragmatic ways to start incorporating AI into an automation journey and provides tips on communicating progress to executive and line of business stakeholders.

As AI hype continues, the task of implementing and scaling AI initiatives is becoming increasingly complex and daunting. In this executive-led conversation between WWT's Neil Anderson and Cisco Senior Vice President of Compute, Jeremy Foster, learn about how Cisco's AI-ready infrastructure can help you accelerate the introduction of AI into all aspects of your organization. Jeremy and Neil talk about the growing partnership between Cisco, NVIDIA and WWT; new innovations coming out of Cisco like Cisco Nexus HyperFabric; and how you can make sense of the fast-moving AI landscape to make informed decisions that will drive outcomes for your business.

AI-powered chatbots or virtual assistants are rapidly growing as organizations look to more efficiently respond customer needs and drive loyalty through a more personalized experience. But building AI-powered digital assistants is challenging given the numerous approaches and tools available on the market. Pulling upon experience building two intelligent digital assistants for internal-to-WWT purposes, WWT Data Science Director Ankur Gupta and Data Consultant Dale Hsu dive into the dos and don'ts of building AI-powered chatbots that can drive value for your business. Ankur discusses a three-layered framework approach designed to solve for scale and cost bottlenecks. And Dale discusses key learnings that can help you in your AI journey.

Today's CISOs operate amid rapid and complex change — defending against constantly evolving threat landscapes and increasingly sophisticated bad actors while trying to build a more resilient culture that is adaptable, innovative and programmatic. Join WWT CEO and co-founder Jim Kavanaugh and NightDragon Founder and CEO Dave DeWalt as they unpack this complexity and how CISOs and security leaders can navigate this fast-paced and evolving landscape, including leveraging best practices and how to validate new, innovative technologies such as artificial intelligence. Jim and Dave will also talk about how WWT is scaling best practices through its Advanced Technology Center (ATC) and helping customers set up environments to test and implement the emerging innovations in the market. Live in the St. Louis area? We'd love to host you to watch this executive-led conversation in person at our Global Headquarters (1 World Wide Way, Maryland Heights, MO 63146).

As bad actors leverage AI to make ransomware attacks more prevalent and effective, data center operators and security leaders must move beyond traditional disaster recovery plans and think strategically about cyber recovery. Join WWT Cyber Resiliency Expert Michael Ambruso and Emerging AI and Cybersecurity Solutions Architect Todd Hathaway as they discuss ways in which you can optimize your data recovery plan when — not if — you fall victim to attack. Michael and Todd clarify the important difference between disaster and cyber recovery, dive into the role AI is playing in offense and defense, and offer guidance on how to best increase resiliency throughout your organization.

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 conversation around generative AI in the enterprise has rapidly shifted from curiosity to necessity to practicality. How can your business adopt AI quickly and securely? What are the operational implications of generative AI and the high-performance infrastructure needed to make it work? How can AI scale to support the needs of your business? Join WWT Managing Director of AI and Machine Learning Tim Brooks as he outlines a practical framework for building an AI ecosystem, details technical considerations to build a high-performance architecture stack for scaling AI and poses eight key questions that determine readiness for practical AI solutions. Editor's Note: This Briefing is a pre-recorded session from WWT's Customer Technical Advisory Board earlier this year.

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.

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.

Join us for the Virtual Lab Workshop! During this exclusive session, the host will introduce the Retrieval Augmented Generation (RAG) Walk Through lab. This lab is designed to provide a foundational understanding of RAG and enable participants to perform real-time queries of a Large Language Model (LLM) both with and without RAG. By leveraging external data via RAG, attendees will discover how this approach can significantly benefit their organization. This one-hour event is limited to 30 participants who will have the opportunity to engage in Q&A throughout the session. Attendees are encouraged to actively participate by launching the lab themselves alongside the host for a hands-on experience.