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A Guide for CEOs to Accelerate AI Excitement and Adoption
The age of AI is here. As the CEO, your leadership is crucial to driving AI transformation. Discover how active executive engagement in AI adoption leads to competitive advantage.
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.
Digital Trends Spotlight: AI Insights for CX Leaders
An overview of the latest trends and insights in customer experience
What's new
The Fragmentation Trap: Why Funding Enterprise AI Pilots Fail to Compound
Enterprise AI adoption has scaled rapidly, but value realization has not kept pace. Nearly 88 percent of organizations now use AI in at least one business function, yet 60 percent report little or no material value from their investments. The gap is not caused by poor tool selection; it is caused by strategic fragmentation, where parallel experiments consume resources without producing compounding value. This article examines why fragmentation happens, what an Agentic AI strategy contains, and how to translate published benchmarks into a defensible business case.
Agentic AI Maturity Model
A five-level framework for scaling agentic AI safely. See where your organization stands and what's blocking the next level.
AI Maturity Model
A five-level framework for assessing enterprise AI maturity, built to catch the gap between high tool adoption and real, governed business value.
LLM Powered Clinical Trial Matcher
The recruitment of patients for clinical trials presents significant challenges for pharmaceutical companies, often delaying drug development, increasing cost, and lead to study failure. This lab explores how AI applied to anonymized health records enables efficient trial matching—at single, bulk, and multi-trial levels—reducing time, improving accuracy, and enhancing access for researchers, providers, and patients.
Introduction to LLM Routing
Introduces LLM routing as a pattern for avoiding one-size-fits-all model usage, covering cost-based, complexity-based, and latency-based routing strategies and when adopting a router is (and isn't) worth it.
A Guide for CEOs to Accelerate AI Excitement and Adoption
The age of AI is here. As the CEO, your leadership is crucial to driving AI transformation. Discover how active executive engagement in AI adoption leads to competitive advantage.
Glean and the Economics of Enterprise AI Tokenomics
Why token efficiency is now a C-suite decision, and how WWT turns AI cost architecture into governed financial value.
LLM Routing Lab
A hands-on lab where learners configure LiteLLM as a local reverse proxy that intelligently routes requests between multiple LLM backends — a general model for simple prompts, a coding model and a reasoning model for complex ones — instead of hard-coding a single model into an application.
Hermes Agent - The Agent That Remembers You
Learn to deploy the Nous Research Hermes Agent, backed by NVIDIA Nemotron-3-Super-120B-A12B, as a persistent infrastructure co-pilot. This hands-on lab guides you through configuring persistent memory across multiple surfaces (the terminal, Mattermost, and a desktop app), enforcing custom engineering standards, and compiling repeatable infrastructure workflows into reusable skills.
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.
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.
How to Choose the Right LLM
This hands-on lab teaches enterprise engineers how to systematically evaluate, benchmark, and select optimal large language models for distinct steps inside an agentic control plane.
Cisco Live 2026 Signals a New Phase of Enterprise AI: Operational Reality
As AI agents, cyber risk and infrastructure demand accelerate, IT leaders must move beyond experimentation and build the visibility, agility and resilience needed to operate at AI speed. In this episode of the AI Proving Ground Podcast, we dive into the key lessons learned at Cisco Live 2026 and how enterprise business and technology leaders should think about them moving forward.
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Vector Stores
This learning path covers vector search from concept to practice. Articles explain vectors, embeddings, similarity metrics, and vector store software — including how to choose the right database and index type. The hands-on lab then stress-tests embedding models, compares distance metrics, evaluates models of different sizes, and builds a framework for tuning chunking and measuring retrieval quality.
The Boardroom Reckoning on AI: Why AI Demands a New Kind of Leadership
AI is forcing a new leadership challenge inside the enterprise, in which boards are expected to oversee a fast-moving technology they do not manage day to day, while executives are tasked with deploying it responsibly at speed. In this episode, Byron Loflin, Global Head of Board Advisory at Nasdaq, and WWT AVP of Global Cyber Advocacy Kate Kuehn explore what that means for modern governance — from board-level AI literacy and trust between directors and management to error reporting, escalation paths and the growing need for stronger oversight as AI systems become more capable and more autonomous.
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.