Overview
Explore
Services
What's popular
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.
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.
Everyday Prompt Engineering
This learning path introduces AI users to key concepts and practices for crafting effective prompts that maximize the value of AI tools. It begins by providing essential background knowledge to explain why prompt engineering is critical for generating high-quality responses. It will then culminate with the introduction of the Prompt Blueprint—a practical framework to help users design effective prompts.
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.
What's new
Hands-On Lab Workshop: Prompt Engineering Lab
Join our virtual lab workshop to master prompt engineering using the Prompt Blueprint—a structured approach for creating effective prompts for AI models. This session covers the fundamentals of prompt engineering, including how to use blueprint elements such as task, context, constraints, persona, format, and tone to progressively improve AI responses. Participants will engage in hands-on exercises, to experiment with prompt design and customization for real-world scenarios. Live Q&A with experts is included—ideal for anyone interested in maximizing the value of generative AI tools in their workflows.
Google Cloud COO Francis deSouza on the New Math of Enterprise AI
In this episode of the AI Proving Ground Podcast, Google Cloud COO Francis deSouza explains why enterprises are shifting from experimentation to intentional, top-down AI deployment. and why a strong data strategy now determines who captures real value.
Partner POV | The Year in Review 2025: AI, APIs, and a Whole Lot of Audacity
In 2025, AI-driven cyberattacks surged, challenging traditional defenses and highlighting the need for robust cybersecurity strategies. As threats evolve, organizations must prioritize AI literacy, API security, and resilience against sophisticated attacks. Looking to 2026, the focus shifts to managing AI risks, understanding attacker motivations, and enhancing cross-team communication for effective incident response.
Unleashing Enterprise AI with the AMD Enterprise AI Suite
The AMD Enterprise AI Suite revolutionizes AI adoption, offering a modular, open-source platform that transforms AI from experimentation to impactful production in minutes. By addressing enterprise challenges like scaling, cost predictability and infrastructure flexibility, it empowers businesses to harness AI's full potential, ensuring a competitive edge in the evolving digital landscape.
AI Is Moving Fast—Can Legal Keep Up?
As AI adoption accelerates inside global enterprises, chief legal officers and compliance teams are emerging as essential architects of governance, trust and responsible innovation — not as roadblocks, but as strategic enablers.
Security Chiefs Sound Alarm Over 'Naked AI'
F5's Shawn Wormke and WWT's Chris Konrad say the rapid operationalization of AI is creating a widening gap between innovation and protection—leaving most organizations unprepared for real-world threats, governance failures and the coming quantum era.
Inside the AI Factory: NVIDIA's Playbook for Building AI at Scale
NVIDIA's John Gentry and WWT's Derek Elbert outline how AI factories are evolving from isolated GPU clusters into flexible, multi-tiered, distributed systems — and why data strategy, security and ecosystem partnerships now determine whether enterprises can keep pace.
AI Advantage - The Flywheel
In this blog, I examine the latest enterprise research from EY, McKinsey BCG and others to show how a durable competitive advantage, the Generative AI Flywheel, is rapidly taking shape and dividing the global economy into self-reinforcing AI leaders and those falling behind.
Model Context Protocol (MCP) Foundations Lab
MCP is an open-source standard designed to standardize how LLM applications connect to and work with external tools and data sources.
Build GenAI Confidence with WWT's AI Prompt Engineering Training Series
As organizations race to unlock the full value of generative AI (GenAI), many discover that technology alone is not enough. WWT's Prompt Engineering Training Series provides a structured, progressive and secure pathway that helps teams accelerate AI tool adoption, improve outcomes and drive measurable business impact.
The Three Essential Steps for Readying Data to Drive Generative AI Integration
Successful genAI implementation requires IT leaders to establish robust data infrastructure that encompasses quality assurance mechanisms, governance protocols, and strategic alignment with organizational objectives.
Building AI-Native Nations with Core42's Edmondo Orlotti
Core42 Chief Growth Officer Edmondo Orlotti dives into how Core42 and G42 are building sovereign, national-scale AI infrastructure and what enterprises can learn as they face their own challenges with data governance, GPU scarcity, fragmented environments and global regulatory pressure.
Accelerating Software Development Velocity with Devin
Devin is an autonomous AI engineer who acts like a trusted kitchen manager, handling the backlog, repetitive prep work and tasks that slow teams down, so human developers can focus on the highest-value engineering "dishes." Instead of just making individuals faster, Devin adds true parallel capacity by taking on delegated work from end to end. It understands codebases, completes tasks independently, and returns finished outputs, such as pull requests. In short, Devin is a new kind of teammate who helps organizations move faster and clear the work they've never had time to tackle.
The New Innovation Factory: Blueprints for AI-Native, Agentic Engineering
In an era where software and data are pivotal, leveraging the right AI tools – and the right people and processes – can transform software development and IT operations. This session highlights examples of how applied practices across data architecture and AI integration enhanced efficiency, scalability, and innovation across the organization. Leaders will discover how aligning data strategies with AI outcomes can drive superior use cases and operational excellence, offering unparalleled value to enterprises of all sizes.
AI Prompt Engineering Training Series
IT leaders must empower teams to fully leverage generative AI (GenAI) securely, not just invest in it. This series accelerates adoption by building practical job-relevant skills from foundational to advanced prompt design with a strong emphasis on AI data security, safe prompting practices, protecting sensitive information and eliminating data leakage.
Part 2 - Devin: Autonomous AI for Modernization
In Part 2, we shift from strategy to execution. We open the hood on Devin, the autonomous AI software engineer, and walk through its enterprise-ready workflow—from high-fidelity codebase analysis to automated refactoring, test creation, documentation and CI/CD orchestration—revealing how each step improves modernization predictability, auditability and operational scale for large organizations.
Everyday Prompt Engineering
This learning path introduces AI users to key concepts and practices for crafting effective prompts that maximize the value of AI tools. It begins by providing essential background knowledge to explain why prompt engineering is critical for generating high-quality responses. It will then culminate with the introduction of the Prompt Blueprint—a practical framework to help users design effective prompts.
How IT Teams Can Use DEX Tools to Facilitate and Monitor Employees' AI Adoption
Artificial Intelligence (AI) adoption is no longer optional; it is foundational to your success. But without the right visibility and support, even the best tools can fail to deliver value. Digital Employee Experience (DEX) platforms bridge the gap between technology and employee experience, helping enterprises track, optimize and scale AI usage responsibly.
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.
Why Voice Security Can't Stay on Hold Any Longer
From deepfakes to vishing, voice attacks are evolving fast. Here's how technical teams can build stronger defenses.