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A picture of WWT CEO Jim Kavanaugh at WWT's Global Headquarters in St. Louis.

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.
WWT Research
•Aug 17, 2026
AI avatar with data dashboards and analytics visualizations

AI and Data Priorities for 2026

A strategic roadmap highlighting the most critical AI and data focus areas for 2026
WWT Research
•Mar 1, 2026
A smartly dressed man in a brown suit jacket over a blue button up sitting at a desk, looking at a tablet, out of which seems to be sparking a magical stream of white digital strands, implicating the endless possibilities of digital transformation.

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.
WWT Research
•Apr 23, 2026

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.
WWT Research
•Apr 9, 2026
Customer using a smartphone to view AI-enhanced product information in a retial store

Digital Trends Spotlight: AI Insights for CX Leaders

An overview of the latest trends and insights in customer experience
WWT Research
•Mar 10, 2025

What's new

Meet the GB10

Serious AI work used to need a data center rack or a cloud bill. See what's inside the GB10, the chip in NVIDIA DGX Spark: an Arm CPU and a Blackwell GPU on one package, sharing up to 128 GB of unified memory.
Video
•1:33
•Oct 25, 2026
A small drafter proposes a row of tokens ahead of a large model, which checks them all in one pass, keeping three and rejecting one.

Draft, Verify, Accept: How Speculative Decoding Works

Large language models write one token at a time, and most of that time goes to moving model weights through memory rather than doing math. Speculative decoding has a small model draft several tokens and the large model check them all at once. Learn how it works, why the output stays identical, and when it helps.
Article
•Oct 19, 2026

Frontier AI Expands, Microsoft CEO Urges 'Emergency Brake,' Anthropic Signals Self-Replication, Wall Street Reacts to Neoclouds

WWT CTO Mike Taylor breaks down the week's biggest enterprise AI headlines, from Anthropic's warning about AI copying itself and Bank of America's patching push to Microsoft CEO Satya Nadella's call for a kill switch and CoreWeave's debt scrutiny. His answer keeps coming back to trust.
Video
•28:39
•Oct 16, 2026

AI stalls on trust, not technology - 2026 ITC takeaways

ITC Vegas is the largest insurance conference globally. Here are a few takeaways from the 2026 edition.
Blog
•Oct 11, 2026

Hermes Agent - Operation Storm Watch

Run Hermes Agent as an on-call operations team for a storefront outage. Fan out parallel investigators, adjudicate a risky change with a Mixture-of-Agents board, execute the fix under a goal contract with machine-verified proof, and review the agent run afterward.
Challenge Lab
•Intermediate

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.
Video
•4:16
•Oct 6, 2026
Decision models process data, manage routine and complex tasks, supporting the rise of AI technologies.

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.
Blog
•Oct 2, 2026

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.
Learning Path
•Fundamentals
Illustration of four people looking at a whiteboard with four AI icons connected by lines to a single bar.

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.
Blog
•Sep 20, 2026
Two diagrams symbolic of different agentic design components, one showing branching and the other showing looping.

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.
Foundations Lab
•Fundamentals
•5 launches
A woman with glasses smiles while typing on a laptop at a desk, lit in blue and red tones, with a coffee mug and notebook beside her. Code and a stylized code icon are overlaid in the background, and a purple app icon appears in the bottom right corner.

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.
WWT Research
•Sep 4, 2026
A woman with glasses stands holding a tablet, tapping its screen with a slight smile, lit in blue and purple tones against a dark background. A purple app icon appears in the bottom right corner.

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.
WWT Research
•Sep 4, 2026
Three doctors in white coats reviewing a laptop and tablet, with a glowing AI hologram behind them.

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.
Foundations Lab
•Fundamentals
•9 launches
Diagram of a routing node branching to green, orange, and purple endpoints beside a bar chart.

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.
Learning Path
•Introductory
A picture of WWT CEO Jim Kavanaugh at WWT's Global Headquarters in St. Louis.

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.
WWT Research
•Aug 17, 2026
Presenter discusses AI tokenomics with screen displays including boardroom oversight, AI investments, token cost, workflow optimization, and FNOPS.

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.
Blog
•Aug 12, 2026

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.
Advanced Configuration Lab
•Fundamentals
•36 launches
Hermes Agent the Agent that Remembers You

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.
Guided Demonstration Lab
•Introductory
•25 launches
Four people sitting at a rectangular table. One is speaking, others are listening. They all seem engaged.

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.
WWT Research
•Jul 8, 2026

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.
Experience
•Jun 25, 2026 • 5:45 AM

AI for Business Leaders

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