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- AI Proving Ground Podcast: Exploring Artificial Intelligence & Enterprise AI with World Wide Technology
25 episodes
AI Proving Ground Podcast: Exploring Artificial Intelligence & Enterprise AI with World Wide Technology
by World Wide Technology: Artificial Intelligence Experts · English
AI deployment and adoption is complex — this podcast makes it actionable. Join top experts, IT leaders and innovators as we explore AI’s toughest challenges, uncover real-world case studies, and reveal practical insights that drive AI ROI. From strategy to execution, we break down what works (and what doesn’t) in enterprise AI. New episodes every week.
Latest episodes
All episodes
The Hidden Costs of AI: Why Token Prices Tell Half the Story
The episode argues that token prices/“tokenomics” only show half the story of AI ROI. Most AI leaders (about 75% per the State of Tokenomics report) can’t confidently prove AI value to CFOs.
11 Nov 2026 · 33m · 19 chaptersMorgan Stanley's Michael Wilson on AI's Next Market Winners
Morgan Stanley CIO Michael Wilson explains how AI value will shift from “builder” enablers (semiconductors, power, hyperscaler infrastructure) to “adopters” (software and application layer), and how…
7 Nov 2026 · 30m · 11 chaptersThe Physical AI Revolution Starts With a Reality Check
Physical AI for manufacturing—what’s practical now, how to introduce it without downtime, and what it takes to trust AI with real control responsibilities.
4 Nov 2026 · 41m · 14 chaptersAnthropic's $40 Trillion AI Ambition and the Race for Control
Anthropic’s IPO filing and the “$40 trillion” AI ambition; how AI model providers, cloud platforms, and enterprise software (OpenAI, Google, Oracle) are competing for control of enterprise workflows;…
31 Oct 2026 · 22m · 11 chaptersTaming the 'Agent Zoo': How to Scale AI Without Losing Control
Scaling AI “without losing control” by treating AI use as workload-specific architecture: generative vs agentic vs physical AI, token/CPU economics, sovereign data/latency constraints, and workflow…
28 Oct 2026 · 28m · 11 chaptersAI Cyberattacks, Anthropic’s $500B Bet and the New Cost of AI Agents
How AI is accelerating cyberattacks and vulnerability discovery, raising questions of responsibility for AI-caused security risks, and changing AI economics and enterprise adoption (compute…
24 Oct 2026 · 26m · 11 chaptersThe End of Untouchable Software
AI-assisted software modernization for legacy/“untouchable” systems, emphasizing that AI can read and generate code faster but is not reliable enough to blindly replace critical software.
21 Oct 2026 · 37m · 9 chaptersFrontier AI Expands, Microsoft CEO Urges ‘Emergency Brake' as Anthropic Signals Self-Replication
Frontier AI progress (OpenAI math results; Google/Meta/NVIDIA model releases), Anthropic’s warning that small models could self-replicate across IoT devices, and enterprise implications for…
17 Oct 2026 · 28m · 10 chaptersAI Wants the Keys to Your Network
How “agentic” AI increases network traffic and business criticality, and how an “AI-native/self-driving network” should measure user experience, optimize continuously, and safely act with human trust…
14 Oct 2026 · 29m · 15 chaptersAnthropic Expands Access to Most Powerful Models as South Korean Banks Are Hacked by AI Agent
AI agents in cyberattacks, faster “machine-speed” patching, and Anthropic’s expanded access/verification for frontier cyber models; plus AI ROI measurement and compute-capacity uncertainty.
10 Oct 2026 · 26m · 10 chaptersAI Is Getting Cheaper. Where’s the ROI?
Why AI spending often doesn’t produce clear ROI yet, and how to get past the “AIJ curve” (investment valley) by choosing the right use cases, redefining KPIs, and aligning workforce incentives.
7 Oct 2026 · 30m · 11 chaptersOpenAI, Meta and Microsoft Race to Put AI to Work Inside Your Organization
The episode discusses the race to deploy “agentic” AI inside enterprises, alongside fast-moving U.S. voluntary AI safety commitments.
3 Oct 2026 · 26m · 11 chaptersCisco’s Jeetu Patel: Everyone Is About to Manage AI Agents
Cisco President/Chief Product Officer Jeetu “G2” Patel argues enterprises are rapidly moving from chatbot-style AI to agentic delegation, where leaders must manage budgets, infrastructure…
30 Sep 2026 · 32m · 19 chaptersCheaper AI Models Are Here: Can Enterprises Keep Up With AI’s Release Cycle?
Enterprises face faster AI release cycles and cheaper model options; the episode focuses on verification/guardrails, deciding what to control vs buy as-a-service, and how structured “decision” models…
26 Sep 2026 · 26m · 9 chaptersThe Leadership Behaviors That Drive AI Adoption
How leadership behaviors drive AI adoption, focusing on trust, experimentation, and change management at Worldwide Technology (WWT), including specific internal practices like AI open-mic sessions,…
23 Sep 2026 · 38m · 18 chaptersAI Slowdown Calls Mount as Enterprises Push Ahead With Agents
AI “doomsday” warnings and enterprise implications, including calls from frontier labs to slow capability advances, plus how enterprises should plan roadmaps, manage agent risk, and control token…
19 Sep 2026 · 36m · 17 chapters
AI Doesn’t Transform a Business. People Do. | WWT CEO Jim Kavanaugh
Worldwide Technology CEO Jim Kavanaugh argues that AI drives measurable business transformation only when treated as a CEO-led change in people, processes, data governance, and revenue operations—not…
16 Sep 2026 · 41m · 14 chapters
AI Moves Weekly, Your Company Doesn’t
Why companies can’t scale weekly AI adoption with quarterly/quarter-project thinking; focus on workflow/process fixes, AI agents, and CEO-led culture, plus cyber/data/IT foundations.
9 Sep 2026 · 35m · 16 chapters
What Your AI Spend Is Really Telling You
WWT’s AI spend and token usage surged (about $100k/month to $1M/month, later $2M), and the episode explores how to distinguish productive AI learning/innovation from waste, while still scaling AI…
2 Sep 2026 · 30m · 7 chapters
Eli Lilly & Company Built an AI Supercomputer to Ask Bigger Questions
Eli Lilly’s on-prem AI supercomputer “Lillipod” and how it’s used to accelerate drug discovery, development, and manufacturing by scaling compute, data, and automated experimentation.
26 Aug 2026 · 46m · 19 chapters
The Greatest Risk Isn't Failure. It's Standing Still.
Enterprise AI transformation as a leadership and organizational readiness problem, not a technology problem; AI/data as “national power” domains; change requires risk-taking, clear priorities, and…
19 Aug 2026 · 50m · 23 chapters
How to Escape AI’s 'Open Bar' Era: Intelligent Token Routing
“Stage two” enterprise AI is shifting from experimentation to affordability.
12 Aug 2026 · 41m · 15 chaptersThe Robot Is Waiting on Your Data.
Physical AI (embodied AI) that perceives, senses, and acts in the physical world—moving beyond screen-based chatbots. It covers robotics, digital twins, computer vision, and extended reality.
8 Aug 2026 · 34m · 14 chaptersAI Adoption Was the Easy Part. Now Comes the Hard Decision.
The “hard decision” after federal AI adoption—moving from getting access to producing mission outcomes on classified/sensitive networks by treating model, data, security, and infrastructure as one…
5 Aug 2026 · 44m · 20 chaptersWe use cookies.They keep VO running smoothly and help us improve it. Privacy policy