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AI Essentials
Welcome to the AI Essentials Learning Series. This series is designed to equip you with the knowledge and skills necessary to understand key aspects of Artificial Intelligence (AI). As AI continues to revolutionize industries and transform the way we live and work, it is crucial to understand the fundamental components that enable its remarkable performance. This series of learning paths will provide you with a comprehensive overview of AI, High Performance Storage, High Performance Networking, High Performance Compute, and Security, all tailored to the specific needs of AI applications.
Digital Workspace Priorities for 2025
A roadmap for improving the digital employee experience
The Future of High Performance Networking: Ultra Ethernet Explained
This article provides an overview of the Ultra Ethernet specification and its features, and is intended to provide an understanding of what is changing and why.
Part 1: Meet Atom Ai – the GPT Powering Innovation at WWT
This is the first article in a series exploring the technical foundations of Atom Ai (formerly WWT GPT), a GenAI-powered chatbot developed to increase employee productivity. It focuses on the purpose, scope, data sources and framework of WWT GPT as well as feedback and next steps.
The CTO's Roadmap to Generative AI Success
Generative AI (GenAI) is a powerful platform of capabilities with the potential to transform your organization's operations in unprecedented ways. As the CTO, you have a unique opportunity to drive that success.
AI and Data Priorities for 2025
A roadmap for laying the groundwork for successful AI adoption and integration.
Secure Your Future: A CISO's Guide to AI
A step-by-step guide for unlocking the power of AI while protecting critical data and navigating the complex regulatory landscape.
Facilities Infrastructure Priorities in the Age of AI
AI adoption is quickly gaining momentum in the enterprise space, but there are key priorities that data center operators and IT decision-makers need to consider regarding the hardware and design of their data centers, including power and cooling. Here are your facilities infrastructure priorities for 2024.
High Performance AI/ML Networking
Today, network engineers, especially in the data center space, must acquire AI/ML infrastructure skills and be able to discuss the required infrastructure upgrades and the reasoning for the upgrades with upper management. At WWT, we are committing $500 million to help our customers with AI/ML, and we have launched a new series of Learning Paths to help the reader navigate complex AI topics. By mastering these areas, data center network engineers can effectively contribute to successfully implementing and managing advanced AI and HPC infrastructure, aligning technological capabilities with business objectives while maintaining a robust and secure network environment.
Generative AI
Generative AI is a cutting-edge technology that has been making waves across various industries in recent years. Unlike traditional AI systems that are designed to analyze and interpret existing data, generative AI has the remarkable ability to create entirely new content, from text and images to music and even code. This revolutionary technology leverages complex machine learning algorithms and neural networks to understand patterns and structures in vast amounts of data, enabling it to generate original and often highly realistic outputs. As generative AI continues to evolve and improve, it promises to transform creative processes, problem-solving, and innovation across numerous fields, from art and entertainment to scientific research and product development. Learn about what Generative AI is and how it works, in this Learning Path.
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!
AI Security
In this learning path you will gain a fundamental understanding of AI security by exploring topics such as the AI development lifecycle, data flow during this lifecycle, as well as attack surfaces present in the AI development lifecycle. You will also learn about topics such as the attacks that AI models face and the risks of user data and privacy when it comes to AI.