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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 at a Standstill? How Automation Unlocks Real ROI
In this episode of WWT Presents Research, host Robb Boyd and Corey Wanless, a principal solutions architect, explore ways in which organizations can automate infrastructure and processes for AI success.
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.
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.
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.
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.
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.
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.
Advancing AI in Healthcare to Improve Efficiency and Unlock Productivity
While typically slow to adopt new technology, healthcare providers appear willing to embrace AI to augment clinical decision making and reduce burdensome administrative tasks. Health systems are accelerating AI adoption to drive operational efficiency and better care outcomes.
Join WWT Chief Healthcare Advisor Dr. Sanaz Cordes and Senior AI Consultant Drew Pikey as they talk about how healthcare organizations can overcome challenges related to AI adoption, the risks involved in integrating AI throughout your organization and use cases that are driving the most value (both today and in the future).
Revolutionizing Industries: The Future of Edge Computing & AI
Edge computing and AI are transforming various industries by addressing the limitations of traditional infrastructures and cloud services. Edge computing and AI together enable organizations to enhance their end-user experiences and operational performance by supporting high-speed, low-latency needs and real-time data processing. Join WWT's strategy consultant Jennifer Adefala and distinguished solutions architect Curt Stalhood as they explore the evolving landscape of edge computing and its growing synergies with AI and virtualization strategies.
Building Cyber Resiliency in Today's Chaotic Healthcare Landscape with Palo Alto | Partner Spotlight
Healthcare organizations face a perfect storm of cybersecurity challenges, from sophisticated ransomware attacks to a fluid regulatory environment to the complexities of digital transformation.
Watch Palo Alto Networks' Healthcare Lead Troy Amend talk with WWT's Dr. Eric Quinones and Jake Bushman about proven strategies to fortify your cybersecurity defenses, streamline your infrastructure and empower your teams to outpace the evolving threat landscape.
Programmability and Automation Meetup: Automated Software Image Management
Software Image Management (SWIM) is a repeatable framework where engineers can produce repeatable, safe outcomes for efficient device software upgrades. This results in a faster response to vulnerability management, more predictable maintenance schedules, and hours of an engineer's life saved in the middle of the night.
In this session, Bob Longmore from World Wide Technology helped us answer the question- What if we used AAP and EDA to decouple the tasks involved in this workflow?