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AI and Data Priorities for 2026
A strategic roadmap highlighting the most critical AI and data focus areas for 2026
AI Drivers License
The Artificial Intelligence (AI) Driver's License is a new WWT initiative aimed at ensuring we are using AI safely and effectively for our customers. The Driver's License is a way for us to validate and certify that our employees have mastered basic AI competencies and are leveraging current AI best practices in all of our client engagements. This is WWT's public version of the AI Drivers License learning path and is encouraged to be shared with others!
Scaling AI Across the Workforce to Empower Every Employee
In 2024, organizations laid the groundwork for AI transformation, and now in 2025, it's time to cement your AI strategy. Join WWT experts David Rosenblatt and Mike Davis as they share insights from our 2025 Digital Workspace Priorities research report. You'll hear their unique perspectives on treating AI like a new employee and guidance on transitioning from proof-of-concept to organization-wide AI implementation so you can empower every employee.
Scott Data Embraces AI Transformation to Offer GPU as a Service
Learn how a data center leader partnered with WWT to validate and execute a strategic vision for providing on-demand access to the advanced high-performance infrastructure required to run today's most demanding AI workloads.
AI Coding Assistants: Enterprise Market Landscape and Tools Evaluation
Explore how AI coding assistants—including autonomous AI agents and agentic AI—are reshaping enterprise software development by accelerating delivery, improving code quality and driving productivity at scale. This market landscape breaks down key players, agentic capabilities and considerations for secure, strategic adoption.
What's new
AI-Powered Security Assistant
Explore the transformative potential of AI in cybersecurity with an AI-powered assistant that automates threat analysis. By integrating real-time data from CrowdStrike, this lab showcases AI's ability to enhance security operations, offering insights and recommendations that accelerate investigations and improve decision-making in security operations centers.
Partner Overview | Vertiv announces new AI-powered predictive maintenance service for modern data centers and AI factories
Vertiv™ Next Predict revolutionizes data center maintenance with AI-driven predictive intelligence, enhancing operational resilience. By shifting from reactive to proactive strategies, it anticipates risks, optimizes performance, and supports seamless integration with future technologies. This innovative service empowers data centers to maintain uptime and adapt to evolving infrastructure demands.
From Static Scorecards to Real-Time Retail Intelligence
Stop managing stores with yesterday's data. Most retail scorecards explain what has already happened. The problem is that store decisions are made in real time.
Labor, inventory and customer experience are being managed with data that arrives too late to change outcomes. This WWT Research episode examines how leading retailers are closing that gap—turning static scorecards into real-time, predictive intelligence that supports decisions as they happen.
Training Data Poisoning Lab
Training data poisoning poses significant risks to Large Language Models (LLMs) and Retrieval Augmented Generation (RAG) systems. This lab explores these dangers through a case study of an online forum, demonstrating how corrupted data can compromise AI effectiveness and security, and examines methods to mitigate such threats.
Partner POV | Inside the NVIDIA Rubin Platform: Six New Chips, One AI Supercomputer
AI has evolved into always-on factories, transforming power, silicon, and data into scalable intelligence. NVIDIA's Rubin platform, with its extreme co-design, integrates GPUs, CPUs, and networking into a unified system, optimizing AI production.
Partner POV | Introducing NVIDIA BlueField-4-Powered Inference Context Memory Storage Platform for the Next Frontier of AI
AI-native organizations face scaling challenges as models grow, demanding efficient memory solutions. NVIDIA's Rubin platform introduces the Inference Context Memory Storage (ICMS) to optimize KV cache storage, enhancing performance and power efficiency. This innovation enables scalable, agentic AI, reducing costs and maximizing GPU utilization for gigascale inference.
Partner POV | Red Hat Expands Collaboration with NVIDIA to Pair Enterprise Open Source with Rack-Scale AI for Faster, Production-Ready Innovation
Red Hat and NVIDIA expand their collaboration to revolutionize enterprise AI with Red Hat Enterprise Linux for NVIDIA. This partnership aims to optimize AI infrastructure, offering Day 0 support for NVIDIA's latest architectures, enhancing security, and ensuring seamless integration across hybrid cloud environments, thus empowering organizations to scale AI confidently and efficiently.
Why Good Backups Don't Equal Cyber Resilience: The Case for Minimum Viability
AI-driven cyber attacks challenge traditional disaster recovery by targeting backups, forcing organizations to redefine resilience. As attackers grow more sophisticated, businesses must identify their "minimum viable company" to prioritize recovery. Cross-functional coordination, AI-enabled defenses, and regular practice in consequence-free environments are essential for effective cyber resilience.
Partner POV | AI in Commvault Cloud
Commvault's AI-driven platform, powered by Metallic® AI, revolutionizes data protection with machine learning and intelligent automation. By adhering to ethical AI standards, it enhances threat detection, risk management, and user experience.
Part 4: Transforming IT Operations - An Intelligent Resource Optimizer
Learn how WWT, HPE and NVIDIA are helping IT teams proactively right-size their computing infrastructure.
Partner POV | Data Rooms: Unlocking the Power of Trusted Data for AI Innovation
Commvault's Data Rooms transform backup data into AI-ready assets, bridging data protection and activation. This offering enables secure, policy-controlled data access for AI and analytics, enhancing innovation without increasing risk. By integrating with existing AI ecosystems, Data Rooms unlock historical intelligence, fostering responsible AI advancement and business growth.
Customer Experience - Digital Capabilities Briefing
Many organizations struggle to deliver a seamless customer experience across digital and physical channels. In this briefing, you'll learn how World Wide Technology creates and delivers digital solutions and products that empower both customers and employees. Our holistic approach aligns desired business outcomes and technology solutions to your strategic initiatives.
AI-Native Private Cloud: Scaling Enterprise AI with VMware Cloud Foundation & AMD
Join us for an in-depth panel discussion exploring the transformative partnership between WWT, AMD and Broadcom in enterprise AI. Moderated by WWT's James Harless, Team Lead of Virtualization & Container Platforms, this event brings together experts from AMD and Broadcom to unveil their joint platform—combining VMware Cloud Foundation (VCF), AMD Enterprise AI software, AMD Instinct GPUs and WWT services. Discover how this collaboration empowers enterprises to build AI-ready private clouds that deliver privacy, security, flexibility and scalable performance. Panelists will address key challenges in AI deployment, including compliance, cost optimization, and workload management, while showcasing innovative use cases such as GPU-as-a-Service, agentic AI and secure content creation. Attendees will gain actionable insights into architecting, deploying, and managing AI workloads confidently on familiar infrastructure, with the flexibility to evolve as their AI strategies grow.
AI Coding Assistants: Enterprise Market Landscape and Tools Evaluation
Explore how AI coding assistants—including autonomous AI agents and agentic AI—are reshaping enterprise software development by accelerating delivery, improving code quality and driving productivity at scale. This market landscape breaks down key players, agentic capabilities and considerations for secure, strategic adoption.
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.
Partner POV | Maximize AI Agent Performance with Data Flywheels Using NVIDIA NeMo Microservices
NVIDIA NeMo microservices empower businesses to maintain adaptive AI agents through a data flywheel strategy, ensuring continuous improvement and relevance. By leveraging GPU-accelerated tools, NeMo simplifies AI development, deployment, and evaluation, enhancing performance while reducing costs.
Broadcom and AMD Collaborate on Enterprise AI Platform
Broadcom and AMD's collaboration aims to revolutionize enterprise AI with a secure, high-performance infrastructure. By integrating VMware Cloud Foundation (VCF) with AMD's AI software and GPUs, they address privacy, flexibility, cost and scalability challenges, enabling efficient AI model deployment and management. This partnership creates AI solutions for diverse enterprise needs.
AI Coding Assistants: Seizing the Once-in-a-Generation Opportunity for Your Organization
AI coding assistants are changing the way software teams work. This research note breaks down the real benefits, hidden risks and smart ways organizations can turn new productivity gains into long‑term advantage.
Harnessing AI's Potential: A Practical Guide for Utilities
While the vision of a fully AI-powered grid remains on the horizon, utilities can start using AI to achieve new levels of operational efficiency while preparing for future advancements.
Partner POV | A Trusted Foundation for Real-Time Agentic AI
As artificial intelligence transitions from predictive models to real-time, agentic decision-makers, organizations face a critical challenge: achieving the required speed and scale to ingest and process massive streams of proprietary data. Enterprises struggle to use real-time data from IoT, sensors, and high-frequency sources for AI due to complex, siloed streaming pipelines, message loss risks, and legacy performance bottlenecks.