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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.
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.
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.
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.
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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.
Payers, Pressure and the Pivot: Turning Health Plans into Health Platforms
In 2026, payers face margin pressure, regulatory whiplash and rising consumer expectations — even as AI reshapes operations. This blog outlines what executives should expect as payers strive to transform into true health platforms.
Why Your AI Strategy is Failing to Scale: Lessons from Ally Financial's Rollout
While most organizations struggle to push AI adoption at meaningful scale, Ally Financial is seeing adoption rates north of 50%. Ally Chief Information, Data and Digital Officer Satish Muthukrishnan joins former Bank of America CTO David Reilly on the AI Proving Ground Podcast to break down Ally's "augmentation first" culture and leadership strategies that drove AI adoption at scale.
Building with LangChain
This hands-on lab for LangChain 1.0 progresses from basic LLM calls and prompt templates through conversation memory, Retrieval-Augmented Generation (RAG), and autonomous agents with tools. By the end, you'll have the foundational patterns to build chatbots, document Q&A systems, and intelligent assistants that can reason over your own data.