In this WWT Partner Spotlight, Cisco and AMD reveal how their combined expertise is helping healthcare organizations modernize Epic EMR environments, cut costs and prepare for AI adoption. Learn how denser-core servers, validated architectures and real-world testing deliver high performance, lower TCO and risk-resilient infrastructure for the most demanding healthcare workloads. Featuring Cisco Technical Solutions Architect Jon Ebmeier, AMD Healthcare IT Leader Tony Nunes and WWT's Data Center Compute Practice Lead Eric D'Lallo, this webinar will cover the state of the healthcare industry, overcoming common migration challenges, and the benefits of AMD's denser cores in reducing infrastructure costs and improving performance.

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. ​

World Wide Technology invites you to Ai day, an immersive experience focused on practical AI applications for today's enterprises. Join us for a deep dive into AI use cases that are driving efficiencies, innovation and business value across industries and organizations. During this session, we will examine the foundations of AI success, including data quality, security and AI architecture. We will explore WWT's AI Proving Ground — the first multi-OEM ecosystem of AI labs designed to accelerate the assessment and adoption of practical AI solutions. You will also have the opportunity to meet AI experts from WWT as well as our industry-leading AI partners. Gear up for an engaging day of learning, networking and innovation!

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.

In this event, you will gain the knowledge and tools to identify, mitigate, and prevent security risks, strengthening the reliability and security of your AI systems. WWT's Prompt Injection and Training Data Poisoning labs help users understand and defend against two major LLM security threats. The Prompt Injection Lab demonstrates how attackers manipulate LLMs with deceptive inputs to extract sensitive data or execute unintended actions, while the Training Data Poisoning Lab explores how corrupting training or retrieval data can introduce biases , vulnerabilities, or backdoors.

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.

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 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.

NVIDIA's newly announced Blueprints are poised to play a foundational role in developing and scaling AI applications across a variety of industries. Whether it's digital humans, virtual drug screenings or multimodal PDF data extraction workflows for RAG, these blueprints will enable developers to build customized enterprise AI solutions in a production-line manner. In this executive-led webinar, learn more about the blueprints from WWT's Vice President of Technical Delivery & Engineering Center of Excellence Nate McKie and NVIDIA Vice President of Enterprise AI Justin Boitano, and how you can modify and optimize those blueprints in WWT's one-of-a-kind AI Proving Ground to more quickly create applications tailored to your specific use cases.

Business and IT leaders are being pushed by management teams to adopt and move fast with generative AI. But where to start? Organizations need concrete ways to integrate this exciting technology into existing operations. Join WWT Data Science Director Ankur Gupta as he talks about WWT's overall vision for AI and how we've developed an AI roadmap that prioritizes practical use cases that will create value. Ankur discusses two specific use cases WWT is driving forward and how that can help you think strategically about your own AI initiatives and dives into what "the emerging LLM stack" means.

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.