World Wide Technology: Artificial Intelligence Experts
83 episodes listed below
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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.
Based on 6 episodes we listened to · September 2026
A grounded account of enterprise AI that connects ambitious systems to the infrastructure, controls, and organizational habits required to operate them.
AI Proving Ground Podcast keeps asking what happens after an organization approves the pilot and has to make AI work at scale. The host builds conversations around enterprise leaders and technology vendors, then presses past model announcements toward deployment, adoption,…
The GPU order is in; now you need to explain what your company gets back.
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Short reviews from the PlayNext desk, based on the episodes we processed.
AI value here starts with disciplined data access, stronger security, and the nerve to ignore the next shiny model.
AI value, in this AI Proving Ground episode, is treated less as a breakthrough slogan than as an operating discipline: where data sits, who can use it, and whether a smaller set of useful efforts can turn into ROI.
A boardroom-level look at AI risk, spear phishing, and accountability as enterprise AI expands.
AI Proving Ground sharpens the enterprise AI security conversation around a harder question: who owns the outcome when AI reshapes the business and something goes wrong?
A practical conversation about making enterprise AI useful without separating it from legal judgment and governance.
AI Proving Ground puts the legal function at the center of enterprise AI adoption, where ambition has to meet accountability. Olivia Fleming, Chief Legal Officer at Edgewood Management, and Erica Shank, General Counsel at WWT, treat guardrails as part of the work from the start,…
A clear leadership conversation on AI acceleration, operating habits, guardrails, and how distributed teams work.
AI is speeding up enterprise execution, but the more useful question here is what leadership has to adjust when decisions start moving faster too.
A practical look at getting enterprise AI under control before automation outruns visibility.
Enterprise AI comes through here as a security problem with a deadline. Sean Wormkey of F5 and Chris Conrad of WWT look at the gap between executive pressure to adopt AI and the teams expected to secure it, especially as the attack surface expands faster than confidence in…
A clear enterprise AI discussion that frames the factory model as a practical operating approach.
Inside NVIDIA's AI Factory presents the enterprise AI factory as a working model rather than a slogan, and it stays focused on the day-to-day realities of building, running, and securing AI at scale.
Prompting mistakes are treated as an operating cost, not a buzzword problem.
The episode treats AI literacy as a working habit, not a slogan. It makes a plain case that vague prompts, blind trust, and repeated retries waste tokens, GPU cycles, and time, and it links prompt engineering to the practical task of getting measurable value from AI inside…
A practical look at why AI deployments break down once they meet real infrastructure.
This episode treats the AI factory as a real operating problem, not a slogan. It looks at where enterprise AI stalls in practice: network load, security, observability, and the jump from pilot to production.
Markets, macro, AI, and crypto in motion.
AI looks like it's everywhere, but enterprise adoption still hits a wall.
Google Cloud COO Francis deSouza joins WWT CEO Jim Cavanaugh to discuss AI's transformative impact on enterprises, highlighting Google's integrated AI stack, rapid growth, and strategic investments in cybersecurity and healthcare.
World Wide Technology CEO Jim Cavanaugh discusses how AI is transforming executive leadership, forcing CEOs to balance innovation speed with security and organizational stability.
The episode opens on a blunt question.
Enterprise AI stalls less because the models are weak and more because adoption does not stick.
The podcast opens with the familiar enterprise AI mandate.
AI Proving Ground opens on a practical premise.
The show takes on the phrase 'AI factory' and asks what it really means.
This episode focuses on the AI factory as a practical enterprise model for turning data into intelligence at scale.
Matt Horner sits down with NVIDIA executives Jay Puri, Charlie Wishpord, and Craig Weinstein for a practical conversation about the race to build AI factories.
Matt Shorts and Greg Schoene unpack how Cox moved AI beyond the hype.
Enterprise AI is treated as a second act here.
The episode treats AI as an energy problem.
AI Proving Ground Podcast: Exploring Artificial Intelligence & Enterprise AI with World Wide Technology centers on Taylor Allison, David Jansen, and Justin Van Schaik arguing that AI performance depends less on the GPU and more on the network.
Jim Kavanaugh argues that AI coding assistants are the “biggest unlock for AI” because software sits inside mobile apps, back-office systems, and enterprise workflows across every size of company.
Worldwide Technology's AI Proving Ground podcast asks whether security has become a prerequisite for AI adoption, with Jitu Patel, Craig Weinstein, and Mike Taylor framing enterprise AI as a shift from pilots to production.
Brian Felt opens by framing AI security as a shift from awareness in 2024 to exposure in 2025 and accountability in 2026, then asks Dave DeWalt and Kate Keene whether the next year will be defined by action or transformation.
Lynn Komp, vice president at Intel and head of its AI center of excellence, and Mike Trajecki, who leads AI go-to-market strategy at WWT, argue that enterprise AI in 2025 is defined by fragmentation, not one dominant stack.
World Wide Technology’s AI Proving Ground podcast asks whether legal teams can keep up with AI by putting Olivia Fleming of Edgewood Management and Erica Shank, General Counsel at WWT, on the same problem: how to move fast without breaking governance.
The episode is about the shift from AI pilots to AI infrastructure.
This episode explores the urgent challenges of securing AI in enterprises, featuring experts Amar Lakhani and Dave Pissarek.
Worldwide Technology's AI Proving Ground podcast centers on a claim from Yvonne Wintersteiger, Topin, and Shashank Sablak: in AI systems, "clarity is the new uptime." The guests connect observability to GPU utilization, cross-charging, model drift, and the risk of turning AI into "a very expensive pilot" instead of durable infrastructure.
The episode looks at how production AI exposes security gaps that research environments can hide.
Jolie Fleming, CTO of IHG Hotels and Resorts, says the best AI in hospitality is often the kind guests do not notice because staff feel it first.
Craig Dillman of HPE and Earl Dodd of WWT define the AI factory as a system that turns raw data into models, automation, agents, and other actionable outputs.
F5’s Sean Wormkey and WWT’s Chris Conrad say only 2% of organizations are highly ready for AI innovation, while 77% sit in a middle band of incomplete readiness.
Liz Gotra joins Brian Felt to talk about AI literacy and the real cost of weak prompting.
At NVIDIA GTC 2026 in San Jose, Tim Brooks of World Wide Technology argues that AI has moved from model launches to operational reality, with OpenClaw, inference, and enterprise infrastructure now driving the conversation.
Google Cloud COO Francis D'Souza says the organizations getting ROI from AI are narrowing from "a thousand flowers bloom" to five to seven use cases, then driving adoption from the top.
Experts discuss the challenges and strategies for building trusted, scalable AI systems in enterprises, recorded at NVIDIA GTC 2026.
Experts discuss the infrastructure challenges of enterprise AI deployment, including power, cooling, and risk reduction.
Experts from NVIDIA, Cisco, and WWT discuss moving AI from experimentation to production, focusing on governance, security, and scaling.
This episode explores how universities are navigating AI adoption, balancing innovation with governance, and what that means for enterprise AI.
Enterprise AI experts discuss when to build vs.
Experts discuss the importance of building a solid data foundation and starting with the right use case to succeed with enterprise AI.
This episode discusses the energy demands of AI and the strategic considerations for deploying AI workloads on-prem, in colo, or in the cloud.
Experts discuss the TRAI framework for building ethical, transparent, and secure AI systems amid fragmented global regulations.