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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
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.
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.
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.
What's new
AI Is Getting Cheaper. Where's the ROI?
AI is getting cheaper, faster and easier to put to work. So why are so many companies still struggling to show a return?
Purdue University's Richard Ryffel and Mohammad Saifur Rahman join the AI Proving Ground Podcast to argue that the problem may be how businesses are thinking about AI in the first place. Treating it as another efficiency tool can only take you so far. The bigger opportunity comes when companies use cheaper intelligence to rethink how work gets done, where humans create value and what the business is capable of doing next.
The shift won't happen overnight. There's a J-curve between investing in AI and realizing its value, and getting through it may require a different approach to leadership, talent and even how we measure progress.
Because the real question isn't how much work AI can replace. It's what becomes possible when intelligence itself costs less.
The Rise of Decision Models
Decision models are emerging as a new option for AI workflows, designed to make fast, bounded decisions rather than generate content. Jev kicked off the recent interest, quickly followed by Kev, Strands Decider and Cloudflare's Clef. Explore what makes these models different, where they're being tested, and why they could become important components in agentic AI systems.
Enterprise AI Security with ARMOR
Most enterprises are adopting AI faster than they can secure it. This ten-module path works through ARMOR, WWT's AI Readiness Model for Operational Resilience, mapping seven security domains onto the AI lifecycle. Each domain is explained by the person accountable for it, then applied to a real deployment at scale.
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.
Intro to Agentic Design Patterns
In this lab you build two agent architectures from scratch in Python, with no framework hiding the mechanics: an orchestrator that routes work to specialized workers, and a ReAct loop that reasons, acts, and observes until it has an answer. You'll expose the strengths and weaknesses of these architectures first hand. You'll leave understanding how each pattern works under the hood, and gain a feel for how and where these patterns are best applied.
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.
ATC+
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.