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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.
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.
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.
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.
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.
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.
Cloud, FinOps and AI: What You Need to Know About Unit Economics, GPUs and the ROI Flywheel
AI has pushed cloud into overdrive. In this episode of the AI Proving Ground Podcast, two of our top cloud experts — Jack French and Todd Barron — reset the approach and detail why cloud is the launchpad but portability is the strategy; how to start greenfield with containers and abstraction; what a real FinOps model for AI looks like (unit economics, tagging, token/GPU visibility); where neo clouds fit versus hyperscalers; and how to handle cross-cloud risk and skill gaps; and the governance moves that accelerate—not restrict—innovation.
Can AI Be Trusted to Run Critical Networks?
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.
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.
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.
Introducing Atom Ai: A 24/7 Agentic Digital Assistant Built for Business
Atom Ai is WWT's agentic digital assistant — built by experts and trained on deep organizational knowledge. Securely embedded across workflows, it's reshaping how decisions are made, how teams operate and how innovation scales. Atom Ai delivers fast, reliable answers, reduces interruptions and continuously learns from every interaction, driving measurable business value.
What AI Winners Know: The Build Matters More Than the Cloud Model
Despite ambitious AI goals and massive investments, many organizations are watching their initiatives stall before they ever deliver impact. In this episode of WWT Presents Research, Robb Boyd is joined by data scientist Ina Poecher and cloud architect Zaid Elkhateeb to explore why so many AI projects fail before the first model ever runs and how to change that. Discover how forward-thinking enterprises are closing the gaps between data science ambition and operational reality. Because real AI success doesn't start with a model, it starts with getting the groundwork right.