AI is having a transformative impact on enterprise engineering, highlighted by the predictions that most code will be AI-generated in the near future. WWT's Manju Palakkat reviews how AI will shift from being a tool to acting as a core teammate throughout the software product lifecycle. Manju discussed the concept of AI-Native engineering where AI is integrated across all stages, enabling humans to focus on intent, architecture and oversight. Manju then reviewed the AI-Native Maturity Model, showing that most organizations are still in the early stages of AI adoption, with the goal being full AI-first operations and multi-agent orchestration.

WWT's Alex Schoen and Tyler Hatton discuss the challenges and opportunities of implementing AI and Automation in enterprise IT operations. They discuss the need to unify fragmented systems and leverage AI for lifecycle management, emphasizing client demand for automated processes like asset refresh, contract renewals and risk detection. They also discuss the technical journey required to achieve intelligent lifecycle management, outlining a four step process to do this, including building a strong data foundation, implementing observability and event management, enabling policy-driven automation and developing agentic IT operations.

Stop managing stores with yesterday's data. Most retail scorecards explain what has already happened. The problem is that store decisions are made in real time. Labor, inventory and customer experience are being managed with data that arrives too late to change outcomes. This WWT Research episode examines how leading retailers are closing that gap—turning static scorecards into real-time, predictive intelligence that supports decisions as they happen.

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.

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.

AI is driving transformation across all industries, fueled by breakthroughs in computing power, digital twins, and autonomous systems. NVIDIA executives Jay Puri, Charlie Wuischpard and Craig Weinstein unpack how the full AI stack—from silicon to software—is reshaping industries and redefining how we live, work, and interact with the world. Leaders will learn what it takes to align their organizations behind AI in order to scale innovation and stay competitive in the race to harness this momentum.

Generative AI isn't just another tech trend; it's a fundamental shift in how businesses compete. The question is no longer if you should adopt AI, but how you can embed it into your organization to create a durable, defensible advantage. Google Cloud COO Francis deSouza shares how leaders are using AI as a competitive advantage to build intelligent operations for unmatched efficiency, create predictive customer experiences that foster deep loyalty and accelerate innovation to discover what's next. Executives will learn what it takes to build an AI-native culture…because the businesses that win the next decade won't just use AI—they'll be built with it at their core.

AI is the topic that every organization is working on right now. But what affect is it having on your Data Center's critical facilities infrastructure? WWT's Mike Parham explains AI's impact on the Data Center and how WWT's Facilities Infrastructure practice enables the Data Center to be ready for all LLM workloads.

This demo walks though WWT's lab on LLM Clinical Trial Matcher. The recruitment of patients for clinical trials presents significant challenges for pharmaceutical companies, often delaying drug development, increasing cost, and leaded to study failure. This lab explores how AI applied to anonymized health records enables efficient trial matching—at single, bulk, and multi-trial levels—reducing time, improving accuracy, and enhancing access for researchers, providers, and patients.

Artificial intelligence is firmly in the heart of the world's most critical infrastructure — the massive networks that keep our digital lives running. In this episode of the AI Proving Ground Podcast, two of our top trusted advisors to the world's largest network operators — Dave Clough and Yohannes Tafesse — break down the high-stakes reality of applying AI at scale, the often-overlooked work of preparing data and building trust, and why the lessons emerging from telecom will shape how every enterprise approaches AI in mission-critical environments.