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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.
Generative AI Briefing
Generative AI presents a unique opportunity to propel organizations into the future. By thoughtfully integrating generative AI into an organization's workflow, new levels of creativity, innovation, and customer experiences are unlocked to accelerate industry gains. At the same time, organizations must adopt a responsible and ethical approach to GenAI to harness its potential and mitigate risk.
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.
Revolutionizing Telecom Network Operations Through AI
Discover how WWT, in close partnership with a leading wireless carrier, delivered the technical expertise and scalable AI solutions needed to modernize the carrier's network operations — upskilling employees, automating corrections and enhancing network stability.
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.
What's new
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.
Bridging the AI Value Gap: Our Insights from IBM TechXchange 2025
AI's potential is unlocked through automation, transforming insights into actionable business value. IBM TechXchange emphasized that automation is essential for operationalizing AI, bridging the gap between investment and results.
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.
Is Your Workforce AI Pilot Ready to Scale?
Actionable guidance for IT and digital workspace leaders to move beyond AI pilots and toward organization-wide impact.
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.
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.
Data Strategy and Engineering for AI Briefing
A comprehensive data strategy requires aligning data assets through technology with business objectives to achieve desired outcomes. This briefing from WWT explores data strategy and foundational data component options for becoming a data driven organization, with a special consideration for delivering AI solutions.
Revolutionizing Telecom Network Operations Through AI
Discover how WWT, in close partnership with a leading wireless carrier, delivered the technical expertise and scalable AI solutions needed to modernize the carrier's network operations — upskilling employees, automating corrections and enhancing network stability.
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.
Agents, Copilots and Beyond: Everyday AI's Jordan Wilson on Future of AI in the Enterprise
In this episode of the AI Proving Ground Podcast, we talk with Jordan Wilson, host of the popular Everyday AI Podcast, to unpack the realities of enterprise AI adoption. From tool sprawl and failed pilots to executive sponsorship and agentic models, Jordan shares lessons he's taken away from thousands of conversations with enterprise leaders — and explains why soft skills and unlearning old habits may be the ultimate keys to success.
AI Acceleration in Action: How AI in Higher Ed Is Balancing Innovation vs. Risk
AI is transforming higher education — from classrooms to research labs — but with innovation comes risk. How can universities protect sensitive data, meet compliance obligations, and still foster discovery? In this episode of the AI Proving Ground Podcast, WWT Higher Ed Principal Advisor Janet and Principal Cybersecurity Consultant for AI Bryan Fite share how one leading university is tackling AI governance and building guardrails that empower rather than restrict. Their insights reveal why higher ed is a proving ground for responsible AI adoption — and why every industry should be paying attention.
Private AI vs. Cloud: How Enterprise Leaders Can Make Smarter Build-or-Buy Decisions
Is your organization ready to own AI or are you better served by leveraging the speed and scale of the cloud? In this episode of the AI Proving Ground Podcast, WWT High-Performance Architecture Director Jeff Fonke and VP of Advanced Technology Solutions Jeff Wynn break down the toughest question facing IT leaders today: should you build or buy your AI capabilities? From the economics of inference costs to hybrid cloud realities, the two Jeffs share practical strategies on private AI, workload orchestration, data readiness and overcoming the enterprise skills gap.
You Can't Automate What You Don't Know: Why Visibility Is the Top Automation Priority
In this episode of WWT Presents Research, host Robb Boyd and Nick Thompson, a distinguished solutions architect, explore the foundational role of infrastructure visibility in automation success.
AI Maturity Model
A framework for organizational AI transformation that maximizes value while minimizing risk.
How Retailers Can Strike the Right Risk-Reward Balance in the Cloud
Capitalize on the benefits of cloud-powered experiences while minimizing disruption and maintaining customer trust.
Discover the Power of TAROT
WWT's Earl Dodd breaks down the Transformative Autonomic Resilient Operations Technology (TAROT) framework, a powerful tool for downstream oil and gas organizations.
Entertainment Company Launches Unified Digital Marketplace to Help Content Creators Build New Worlds
The company partnered with WWT to transform its fragmented ecosystem into a unified, future-ready marketplace that streamlines creator experiences, accelerates innovation and unlocks new digital revenue streams across industries.
The AI Scaling Paradox: It's Not The Tech. It's The Operating Model.
AI's transformative potential in retail is hindered by outdated IT strategies and organizational resistance. While AI demands adaptive governance and cultural change, many initiatives stall due to fragmented data, leadership misalignment and unclear ROI. Success requires strategic coordination, robust infrastructure and a shift from pilot projects to core business integration.
World Wide Technology at Downstream USA 2025: Powering Connections, Driving Innovation
World Wide Technology is proud to sponsor Downstream USA 2025 in Houston, TX. We'd be delighted to have you join us for our Main Stage Session on Wednesday, June 25, and our interactive Workshop on Thursday, June 26. Both sessions will showcase cutting-edge strategies and real-world applications designed to modernize infrastructure, enhance operational resilience, and drive data-driven performance at scale.
Partner POV | Optimizing AI for Scaled Adoption
Generative AI is evolving, shifting from raw performance to balancing efficiency, cost, and security. As AI matures, organizations must optimize infrastructure and prioritize power efficiency to reduce costs and risks. Adapting to these changes ensures a competitive edge and fosters continued innovation in the rapidly advancing AI landscape.