AI & Data Insights
1023 results found
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.
Agentic AI in the Workforce
AI Agents represent the next evolutionary step in the AI process from AI Assistants. AI Agents can act, and not just respond, to take actions toward achieving goals. WWT's Workforce AI Solutions Architect, Nathan Hull, describes the journey of Agentic AI and the different levels of AI Agents.
Part 3: Transforming IT Operations - An Incident Knowledge Assistant
Learn how WWT, HPE and NVIDIA are helping IT teams more quickly triage and resolve trouble tickets.
Partner POV | Intel, Cisco Collaboration Delivers Industry's First Systems Approach for AI Workloads at the Edge
Cisco Unified Edge with Intel Xeon 6 delivers a future-ready AI infrastructure, boosting performance and security while reducing network traffic through real-time inferencing at the data source.
Partner POV | How Modern Storage Can Offset Power Utilization in the Data Center
With data center power utilization increasing every day, what is the most efficient, responsible way forward? Learn more about how Pure's FlashBlade//S is changing the game.
How restaurants can align insights to drive better outcomes
FS/TEC 2025 highlighted that there's no single playbook for restaurant technology.
Introduction to NVIDIA NIM for LLM
This learning path introduces NVIDIA NIM for LLM microservices, covering its purpose, formats, and benefits. You'll explore deployment options via API Catalog, Docker, and Kubernetes, and complete hands-on labs for Docker and Kubernetes-based inference workflows—building skills to deploy, scale, and integrate GPU-optimized LLMs into enterprise applications.
Inside NVIDIA: The $5 Trillion Engine Redefining the Future of AI
AI is rewriting the rules of the global economy. Powered by leaps in accelerated computing, digital twins and autonomous systems, a new industrial era is emerging in real time. In this episode of the AI Proving Ground Podcast, NVIDIA leaders Jay Puri, Charlie Wuischpard and Craig Weinstein break down how the entire AI stack — from the silicon driving breakthroughs to the software shaping intelligent experiences — is redefining how we build, operate and compete.
This conversation gives leaders a clear view of what's coming next—and what it takes to align their organizations, scale AI innovation, and stay ahead in a race where velocity, architecture, and ambition now determine advantage.
Rethinking the Enterprise Architecture: AI Will Change Everything You Know
Learn how AI is reshaping the very foundation of IT architecture and operations.
F5 Distributed Cloud for LLMs
In the current AI market, the demand for scalable and secure deployments is increasing. Public cloud providers (AWS, Google, and Microsoft) are competing to provide GenAI infrastructure, driving the need for multi-cloud and hybrid cloud deployments.
However, distributed deployments come with challenges, including:
Complexity in managing multi-cloud environments.
Lack of unified visibility across clouds.
Inconsistent security and policy enforcement.
F5 Distributed Cloud provides a solution by offering a seamless, secure, and portable environment for GenAI workloads across clouds. This lab will guide you through setting up and securing GenAI applications with F5 Distributed Cloud on AWS EKS and GCP GKE.
Advanced Configuration Lab
•27 launches
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.
A New AI Operating System with Cisco's Jeetu Patel and WWT's Jim Kavanaugh
In this episode of the AI Proving Ground Podcast, WWT Co-founder and CEO Jim Kavanaugh and Cisco President Jeetu Patel break down the real constraints shaping the AI era and explore why platforms will define the next decade of enterprise innovation. They'll also talk about how secure, scalable architectures enable organizations to innovate confidently and compete at AI speed.