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When AI Starts to Act on Its Own, Who's in Control?
As artificial intelligence moves from prediction to action, a new security frontier is taking shape. In this episode, Zscaler's Head of AI Innovation Phil Tee and WWT's VP of Global Cyber Chris Konrad explore the rise of autonomous agents, the evolution of Zero Trust and what it means to secure AI itself. From poisoned prompts to quantum threats, they warn the biggest risk isn't just deploying AI — it's trusting it. A sharp, real-world look at how enterprises can protect their future as machines begin to make decisions of their own.
Executive Leadership in the Age of AI: Lessons from WWT Co-Founder and CEO Jim Kavanaugh
AI is reshaping business faster than any technology in history. But while employees are already using AI daily, enterprises are struggling to capture value at scale. In this episode of the AI Proving Ground Podcast, WWT Co-Founder and CEO Jim Kavanaugh explains why executive leadership is the critical factor in moving beyond pilots, how companies should build the right foundations for AI and why waiting on the sidelines may be the biggest risk of all.
Driving Value with AI in Every Contact Center
AI is transforming contact centers at every stage of maturity. WWT's Contact Center Maturity Model report helps organizations assess their current capabilities and chart a path to greater efficiency, customer satisfaction and business value. Whether you're just starting with automation or advancing toward proactive, customer-facing AI, WWT experts Morgan Laville and Patrick Bond share practical steps and real-world examples to help leaders align people, processes and data for measurable impact. Learn how AI can be applied at every level, from streamlining agent operations to enhancing customer journeys, and discover actionable insights to move your contact center forward.
How AI Agents Are Transforming IT Ops
AI agents are moving from hype to the heart of enterprise IT. In this episode of the AI Proving Ground Podcast, Eric Jones and Ruben Ambrose — two leading AI experts — explore how intelligent, human-guided systems are transforming IT service management, incident response and operational scale to deliver faster resolutions, stronger security and smarter decisions across the enterprise.
Using Data to Pave the Way for AI and Automation
C-level leaders are looking to artificial intelligence (AI) to accelerate automation within their organizations. But in the rush to adopt AI, many forget that the success of both AI and automation hinges on an organization's data maturity.
Join Anshul Chaturvedi, a principal consultant with WWT focused on data, analytics and AI, as he talks about how organizations can mature their data capabilities to maximize their AI and automation investments. Anshul breaks down the interplay between automation and AI, pragmatic ways to start incorporating AI into an automation journey and provides tips on communicating progress to executive and line of business stakeholders.
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.
The WWT Agentic Network Assistant
The WWT Agentic Network Assistant is an AI assistant that automates network troubleshooting, configuration validation and compliance checks for enterprise IT environments. It translates natural language queries into CLI commands, executes them on network devices via SSH, analyzes outputs using AI and provides actionable insights. Additionally, it integrates with Cisco documentation for reference and supports automated runbook execution to streamline network operations.
AI's Trust Problem: What Great Leaders Know That Most Don't with Great Place to Work CEO Michael Bush and WWT CTO Mike Taylor
Artificial intelligence investment is exploding, but adoption often stalls. In this episode of the AI Proving Ground Podcast, Great Place to Work CEO Michael Bush and WWT CTO Mike Taylor unpack the real reason why: trust. They reveal how culture, leadership and access — not just technology — determine whether AI pilots fail or flourish, and why people-first leadership may be the ultimate competitive advantage in the age of AI.
Business Innovation Summit Series: Unfiltered Conversations About the Future of Enterprise AI
This special episode of the AI Proving Ground Podcast kicks off a weeklong series of daily releases from the WWT Business Innovation Summit — bringing you unfiltered conversations with the leaders shaping the next decade of AI, cybersecurity, cloud and enterprise strategy. Featuring insights from executives at Cisco, Google Cloud, Microsoft, NVIDIA, NightDragon, Morgan Stanley and more, this series offers urgent, real-time perspective on how AI is transforming the global economy, redefining risk, and rewriting the rules of competitive advantage.
MultiINT Toolkit Demo
This analyst assistant is a secure, multi-agent AI solution that supports defense and national security missions by quickly providing insights for across large datasets. Specialized agents with access to mission specific tools are orchestrated by a flexible graph framework to parse and analyze data holistically for use cases that include missile defense, intelligence analysis, and situational awareness.
The Future of AI with NVIDIA Founder and CEO Jensen Huang
Watch WWT Co-Founder and CEO Jim Kavanaugh and NVIDIA Founder and CEO Jensen Huang talk about the evolution and future of AI. During the discussion, Jim and Jensen will also provide practical tips for implementing AI at scale within the enterprise.
LLM Clinical Trial Matcher Demo
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.