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AI and Data Priorities for 2026
A strategic roadmap highlighting the most critical AI and data focus areas for 2026
Facilities Infrastructure Priorities in the Age of AI
This report outlines the critical priorities for facilities and infrastructure leaders as they prepare for the next wave of AI-driven growth.
A Guide for CTOs to Get Started with Enterprise AI
This report gives CTOs a decision-making framework to build AI programs that are sequenced around business outcomes, governed before they scale and staffed for production.
Why Enterprise AI Personalization Fails Without Data Ownership
AI has raised customer expectations, but most organizations are still delivering personalization in isolated moments instead of across the full customer journey. In this episode of the AI Proving Ground Podcast, WWT Chief Digital Advisor Ralph Jovine and Senior Director of Product for Unified Commerce Chris Douglas explain unpack the foundations leaders need to get right first: customer data ownership, governance, identity resolution, decisioning and operational alignment.
How UAE-Based Core42 is Rethinking AI Infrastructure From the Ground Up
How do you build an AI environment the business can scale, security can defend, regulators can accept and teams can actually use? In this episode of the AI Proving Ground Podcast, Core42 CTO Raghu Chakravarthi and WWT EVP Kraig Ecker discuss why sovereignty extends beyond data residency, heterogeneous infrastructure is becoming non-negotiable and why agents will sharply increase the need for observability, security guardrails and scalable inference design.
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World Wide Technology Ai Roadshow Dublin
Join us in Dublin for an Ai Roadshow, part of World Wide Technology's global series of events focused on moving AI from ambition to execution.
The Ai Roadshow brings together business and technology leaders for a focused afternoon of insight, dialogue and real-world perspective on enterprise AI adoption. Drawing on expert viewpoints, customer and industry examples, and structured discussion, the programme explores what it takes to accelerate AI outcomes, build AI solutions aligned to business priorities, and scale AI responsibly.
Building on two years of global delivery, Ai Roadshow reflects the lessons, patterns and realities emerging from enterprise AI adoption, offering a practical view of what is working, what is changing, and what comes next. During the afternoon you will have the opportunity to talk to our experts about your AI journey.
World Wide Technology Ai Roadshow Edinburgh
Join us in Edinburgh for Ai Roadshow, part of World Wide Technology's global series of events focused on moving AI from ambition to execution.
The Ai Roadshow brings together business and technology leaders for a focused afternoon of insight, dialogue and real-world perspective on enterprise AI adoption. Drawing on expert viewpoints, customer and industry examples, and structured discussion, the programme explores what it takes to accelerate AI outcomes, build AI solutions aligned to business priorities, and scale AI responsibly.
Building on two years of global delivery, Ai Roadshow reflects the lessons, patterns and realities emerging from enterprise AI adoption, offering a practical view of what is working, what is changing, and what comes next. During the session you will have the opportunity to talk to our experts about your AI journey.
NVIDIA GPU Operator for Kubernetes
This is a learning path for the introduction of the deployment and lifecycle of AI infrastructure. Explore the NVIDIA GPU Operator, a Kubernetes-native tool that automates driver installation, container runtimes, and device plugins. Perfect for DevOps engineers aiming to streamline high-performance, GPU-accelerated clusters at scale.
Why Enterprise AI Personalization Fails Without Data Ownership
AI has raised customer expectations, but most organizations are still delivering personalization in isolated moments instead of across the full customer journey. In this episode of the AI Proving Ground Podcast, WWT Chief Digital Advisor Ralph Jovine and Senior Director of Product for Unified Commerce Chris Douglas explain unpack the foundations leaders need to get right first: customer data ownership, governance, identity resolution, decisioning and operational alignment.
A Guide for CTOs to Get Started with Enterprise AI
This report gives CTOs a decision-making framework to build AI programs that are sequenced around business outcomes, governed before they scale and staffed for production.
How UAE-Based Core42 is Rethinking AI Infrastructure From the Ground Up
How do you build an AI environment the business can scale, security can defend, regulators can accept and teams can actually use? In this episode of the AI Proving Ground Podcast, Core42 CTO Raghu Chakravarthi and WWT EVP Kraig Ecker discuss why sovereignty extends beyond data residency, heterogeneous infrastructure is becoming non-negotiable and why agents will sharply increase the need for observability, security guardrails and scalable inference design.
The Great Unlock: An Executive Guide to AI-Native Engineering
How C-suite leaders can turn AI-native engineering into faster execution, stronger customer outcomes and durable competitive advantage.
Building an AI-First Workforce: A Guide for C-Suite Leaders
This guide helps enterprise leaders turn AI investments into real workforce impact. Learn how to embed AI into daily work, close adoption gaps, and lead the cultural, operational and governance shifts required to scale Workforce AI across the organization.
How to Scale Agentic AI Without Losing Control
AI is moving out of prototype mode and into production. In this episode of the AI Proving Ground Podcast, recorded live at NVIDIA GTC, leaders from Cisco, NVIDIA and WWT unpack the real job in front of enterprise executives: how to scale agentic AI, secure AI factories, manage token economics and prepare infrastructure for an inference-heavy future.
World Wide Technology Ai Day London
Join us in London for Ai Day, part of World Wide Technology's global series of full-day events focused on moving AI from ambition to execution.
Ai Day brings together business and technology leaders for a focused day of insight, dialogue and real-world perspective on enterprise AI adoption. Drawing on expert viewpoints, customer and industry examples, and structured discussion, the programme explores what it takes to accelerate AI outcomes, build AI solutions aligned to business priorities, and scale AI responsibly.
Building on two years of global delivery, Ai Day reflects the lessons, patterns and realities emerging from enterprise AI adoption, offering a practical view of what is working, what is changing, and what comes next.
The CEO's Job in the AI Era: Accelerating Idea to Outcome (I2O)
As AI spreads beyond developers into every workflow, the differentiator shifts from tools to leadership. In this episode of the AI Proving Ground Podcast, WWT Co-Founder and CEO Jim Kavanaugh argues that winning in AI will lean heavily on culture: how fast an organization can learn, adapt and change. The new leadership challenge is moving fast without creating downstream chaos.
Generative AI Fundamentals
This lab will walk the lab user through the basics of Generative AI
NetApp AIPod Mini Environment
Explore the NetApp AIPod Mini integrated with Intel® AI for Enterprise RAG. This lab automates the deployment of a secure, scalable ChatQ&A pipeline on Kubernetes. Leverage Intel® Xeon® and Gaudi® accelerators to transform enterprise data into insights, featuring one-click deployment, hardware optimization, and comprehensive observability for production-ready AI workloads.
Facilities Infrastructure Priorities in the Age of AI
This report outlines the critical priorities for facilities and infrastructure leaders as they prepare for the next wave of AI-driven growth.
AI and Data Priorities for 2026
A strategic roadmap highlighting the most critical AI and data focus areas for 2026
Introducing WWT's RFP Assistant
Responding to RFPs doesn't have to be a scramble. Meet WWT's RFP Assistant—designed by proposal experts and powered by AI to speed responses, boost content quality and fuel more wins. Watch how we're redefining the future of proposal creation.
The Role of AI, Cloud and Cyber in Digital Transformation with WWT Co-Founder and CEO Jim Kavanaugh and Cisco President Jeetu Patel
Technology is no longer just an enabler—it's the foundation of modern business. AI, cloud, and cybersecurity have moved from the background to the core of enterprise strategy. Jeetu Patel, Cisco's President and Chief Product Officer, discusses how these technologies are converging to redefine scale, resilience, and trust in an increasingly connected world. Executives will learn the new capabilities defining the digital frontier, and how companies can evolve to stay secure, agile, and intelligent by design.
When AI Starts to Act on Its Own, Who's in Control?
As artificial intelligence moves from prediction to action, a new security frontier is taking shape. In this episode, Zscaler's Head of AI Innovation Phil Tee and WWT's VP of Global Cyber Chris Konrad explore the rise of autonomous agents, the evolution of Zero Trust and what it means to secure AI itself. From poisoned prompts to quantum threats, they warn the biggest risk isn't just deploying AI — it's trusting it. A sharp, real-world look at how enterprises can protect their future as machines begin to make decisions of their own.
Prompt Engineering Lab
This lab will help users strengthen their prompt engineering skills using the prompt blueprint framework, which is a structured approach for writing effective prompts. Participants will refine prompts step by step and experiment with blueprint elements to achieve better model outputs.
Cloud, FinOps and AI: What You Need to Know About Unit Economics, GPUs and the ROI Flywheel
AI has pushed cloud into overdrive. In this episode of the AI Proving Ground Podcast, two of our top cloud experts — Jack French and Todd Barron — reset the approach and detail why cloud is the launchpad but portability is the strategy; how to start greenfield with containers and abstraction; what a real FinOps model for AI looks like (unit economics, tagging, token/GPU visibility); where neo clouds fit versus hyperscalers; and how to handle cross-cloud risk and skill gaps; and the governance moves that accelerate—not restrict—innovation.