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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.
Agentic AI Is Coming for Software Development — Are Enterprises Ready?
As AI coding assistants move from novelty to necessity, enterprises are discovering that the real challenge is managing what happens before and after the code is created. In this episode of the AI Proving Ground Podcast, WWT's executive AI advisor Nate McKie explains why faster code generation is only half the answer — and why leaders who don't reinvest the time they're saving are already falling behind.
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.
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.
Former NSA Cyber Director on the Emerging AI Threat Landscape
AI-powered nation-state cyber threats have entered a new phase. In this episode of the AI Proving Ground Podcast, WWT's Head of National Security and Critical Infrastructure Madison Horn joins former NSA Director Rob Joyce to break down what's changed and why business leaders should be paying close attention.
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Hands-On Lab Workshop: Model Context Protocol (MCP) Foundations Lab
Join us for a hands-on exploration of the Model Context Protocol (MCP), an open-source standard quickly gaining momentum in the world of AI. Whether you are a developer, engineer, or someone curious about how AI systems connect to real tools and data, this lab will walk you through the core concepts of MCP and give you practical skills to build, run, and connect your own MCP servers. This is a fundamentals-level lab focused on giving you a solid, practical understanding of how MCP works and why it is becoming the universal protocol for AI agent tool use — often described as the USB standard of the AI world.
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.
How Jack in the Box is Building the Data Foundation for AI
What does it really take to make AI useful in the enterprise? In this episode of the AI Proving Ground Podcast, Jack in the Box VP of Data and Analytics Paul Bruffett and WWT Managing Director of AI and Data Analytics Daniel Morrisroe detail how to turn fragmented data, legacy systems and disconnected workflows into an operational foundation the business can actually use. From modular data products and self-service analytics to forecasting, personalization and the road to more autonomous systems, this conversation offers practical lessons for leaders trying to move from modernization to measurable AI outcomes.
Top 20 Agentic AI Use Cases for Healthcare in 2026
A guide to 2026's top agentic AI opportunities in healthcare—spanning clinician, staff and patient experience across the provider and payer ecosystem.
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.
Transforming Clinical Insight Through Local AI Compute: The WWT and Intel Collaboration
Fragmented healthcare data hinders effective care. Read this blog to learn how this edge AI solution enhances efficiency, preserves privacy and improves patient experiences, demonstrating a new paradigm in healthcare data integration and clinician workflow.
Agentic AI Is Coming for Software Development — Are Enterprises Ready?
As AI coding assistants move from novelty to necessity, enterprises are discovering that the real challenge is managing what happens before and after the code is created. In this episode of the AI Proving Ground Podcast, WWT's executive AI advisor Nate McKie explains why faster code generation is only half the answer — and why leaders who don't reinvest the time they're saving are already falling behind.
Before You Scale AI, Fix Your Data Foundation
The new AI bottleneck is whether your enterprise data can be trusted, governed, and used at speed. Recorded live at NVIDIA GTC, this episode of the AI Proving Ground Podcast features Tore Sundelin of NetApp and Derek Elbert of World Wide Technology discussing why unstructured data, policy-based governance, data classification and unified AI data pipelines are becoming critical as enterprises push toward agentic AI and production-scale inference.
Why Storage, Security and Data Readiness Now Decide AI Success
AI success now depends on whether your enterprise foundation is actually ready. Recorded live at NVIDIA GTC, this episode of the AI Proving Ground Podcast features WWT AI leader Mike Trojecki and Everpure VP of AI and Analytics Kaycee Lai discussing why business outcomes, secure data access, low-latency infrastructure, governance and storage architecture are becoming the real differentiators as organizations try to operationalize AI at scale.
How to Scale Agentic AI Without Losing Control
AI is moving out of prototype mode and into production. In this episode of the AI Proving Ground Podcast, recorded live at NVIDIA GTC, leaders from Cisco, NVIDIA and WWT unpack the real job in front of enterprise executives: how to scale agentic AI, secure AI factories, manage token economics and prepare infrastructure for an inference-heavy future.
Invisible AI: What AI Leaders Can Learn from IHG Hotels & Resorts' AI Strategy
At IHG Hotels & Resorts, AI is being applied with a clear principle: make the employee more effective so the customer experience feels more human. That approach, according to IHG CTO Jolie Fleming, who joined us in our latest episode of the AI Proving Ground Podcast, offers a useful model for any leader trying to scale AI adoption without losing trust, control or business focus.
What We Learned at NVIDIA GTC 2026
At NVIDIA GTC 2026, the conversation shifted from model novelty to enterprise reality. In this episode of the AI Proving Ground Podcast, WWT Chief AI Advisor Tim Brooks explains why agentic AI, inference-heavy workloads and physical AI are forcing CIOs and CTOs to rethink infrastructure, governance, trust and leadership.
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.
The CEO's Job in the AI Era: Accelerating Idea to Outcome (I2O)
As AI spreads beyond developers into every workflow, the differentiator shifts from tools to leadership. In this episode of the AI Proving Ground Podcast, WWT Co-Founder and CEO Jim Kavanaugh argues that winning in AI will lean heavily on culture: how fast an organization can learn, adapt and change. The new leadership challenge is moving fast without creating downstream chaos.
Compressing Idea to Outcome (I2O): WWT Co-Founder and CEO Jim Kavanaugh on Why AI Coding Assistants Could Reshape the Enterprise
AI-powered coding assistants are rapidly compressing the time it takes to build software and delivering a competitive advantage that can lead to transformational outcomes. But according to WWT Co-Founder and CEO Jim Kavanaugh, the bigger shift is organizational: companies must rethink leadership, data strategy and workforce skills to compete in an AI-native world. In this episode of the AI Proving Ground Podcast, Jim shares his vision for how coding assistants are emerging as one of the most practical and disruptive use cases in enterprise AI.
The Reality of AI in State Government and Why AI Centers of Excellence Matter
In the fast-moving world of AI, states that invest in a center of excellence will be the ones that turn experimentation into progress.
AI Security Is Now a Machine-Speed Problem
AI has moved the security goalposts. Organizations are being asked to pour more data into models to unlock value, while attackers use those same techniques to move at machine speed. In this episode of the AI Proving Ground Podcast, Fortinet's Aamir Lakhani and WWT's Dave Pisarek deliver a CISO-level playbook for enabling AI at scale while defending against AI-driven attacks — by tightening visibility and governance (especially for agents and shadow AI), modernizing identity and using automation to defend at machine speed without abandoning security fundamentals.
The Lawn Mower Metaphor: Getting Real Value from Windsurf Without Cutting the Flowers
If you're a software engineer navigating fast-turnaround proof-of-concept projects, this post explores how Windsurf's AI coding agent, Cascade, can accelerate development without breaking what already works. Using a "lawn mower" metaphor, it covers two key techniques: understanding the codebase before writing code, and executing implementation plans one deliberate step at a time.
Is Prompt Engineering Dead?
From the hidden cost of bad prompts to the shift toward agents and orchestrated systems, AI evangelist Liz Gattra discusses why prompt engineering is still foundational to enterprise AI adoption, and what organizations are getting wrong and how to fix it. If you're responsible for scaling AI beyond experimentation, this episode of the AI Proving Ground Podcast will recalibrate how you think about workforce readiness.
Unlocking the Power of AI Coding Assistants
AI coding assistants are transforming software development by boosting productivity, enhancing code quality and facilitating continuous learning. These tools not only automate repetitive tasks but also provide insightful guidance, enabling developers to work smarter and more creatively.