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.

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.

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.

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.

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.

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.

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.

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 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.

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. ​

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.