Tech Field Day Podcast
- Episodes
- 383
- Released
- weekly
- Latest episode
- Nov 10, 2026
About the podcast
The Tech Field Day Podcast is the only podcast that dares to be both on topic, or on premise, and sometimes on location, bringing together a group of independent IT luminaries and experts in their field from around the Enterprise to discuss a single idea revolving around their technological knowledge base and skillset. This podcast is hosted by Stephen Foskett, Organizer of the Tech Field Day event series, and Tom Hollingsworth, Tech Field Day Event Lead.
Episodes 383
Kubernetes is the Backbone of Modern Enterprise AI | Tech Field Day Podcast
Over the past decade, Kubernetes transformed from an ambitious open-source experiment into the invisible engine powering global business infrastructure. This week on the Tech Field Day Podcast ahead of KubeCon …
Show notes
Over the past decade, Kubernetes transformed from an ambitious open-source experiment into the invisible engine powering global business infrastructure.
This week on the Tech Field Day Podcast ahead of KubeCon North America 2026, hosts Alastair Cooke and Barton George look back at how a 500-person gathering in a hotel ballroom expanded into an industry-defining ecosystem of hundreds of projects.
They explore how early container orchestration battles led to vendor standardization, why Kubernetes became baked into everyday hardware and software appliances, and how the platform emerged as the de facto operating system for enterprise AI inference.
Finally, they tackle the rise of AI operations, debating the real-world security and reliability risks of letting non-deterministic AI agents touch deterministic production environments.
This and more on the Tech Field Day Podcast, part of the Futurum Media Podcast Network.
Hosts:
Tom Hollingsworth, Event Lead for Tech Field Day
Alastair Cooke, Event Lead at Tech Field Day
Stephen Foskett, President and Organizer of Tech Field Day
Follow the Tech Field Day Podcast on X/Twitter or on Bluesky and use the Hashtag #TFDPodcast to join the discussion. Listen to more episodes on the podcast page of the website.
Follow Tech Field Day for more information on upcoming and current event coverage on X/Twitter, on Bluesky, and on LinkedIn, or visit our website.
The AI Infrastructure Boom is a GPU Bubble
Learn more about AI Infrastructure Field Day 6 here. As tech giants commit billions to GPU clusters and cloud compute sells out years in advance, are we witnessing sustainable exponential innovation or an …
Show notes
Learn more about AI Infrastructure Field Day 6 here.
As tech giants commit billions to GPU clusters and cloud compute sells out years in advance, are we witnessing sustainable exponential innovation or an impending infrastructure bubble?
In this episode recorded ahead of AI Infrastructure Field Day 6, host Alastair Cooke is joined by panelists Frederic Van Haren, Brandon Whichard, and James Urquhart to break down how the lines are blurring between AI training and inference, hyperscalers and neo-clouds, and deterministic systems versus generative models.
Together, they analyze the financial realities behind massive capex commitments, investigate whether enterprise revenue can justify insatiable hardware demand, and discuss what happens when AI models finally become "good enough" for everyday business needs.
This and more on the Tech Field Day Podcast, part of the Futurum Media Podcast Network.
Frederic Van Haren, Founder and CTO of High Fens, Inc.
Brandon Whichard, Host of Software Defined Talk and founder of Failover Media
James Urquhart, Principal and Founder, Urquhart Strategic Services, LLC.
Hosts:
Tom Hollingsworth, Event Lead for Tech Field Day
Alastair Cooke, Event Lead at Tech Field Day
Stephen Foskett, President and Organizer of Tech Field Day
Follow the Tech Field Day Podcast on X/Twitter or on Bluesky and use the Hashtag #TFDPodcast to join the discussion. Listen to more episodes on the podcast page of the website.
Follow Tech Field Day for more information on upcoming and current event coverage on X/Twitter, on Bluesky, and on LinkedIn, or visit our website.
Digital Certificate Security is a House of Cards
Learn more about Security Field Day 16 here.The modern internet operates on the implicit assumption that every secure connection can be trusted, but that entire foundation is only as strong as the Certificate …
Show notes
Learn more about Security Field Day 16 here.
The modern internet operates on the implicit assumption that every secure connection can be trusted, but that entire foundation is only as strong as the Certificate Authorities signing the keys.
In this episode of the Tech Field Day Podcast ahead of Security Field Day 16, host Tom Hollingsworth joins delegates Kate Scarcella, Chris Hayner, and Jody Lemoine to break down the catastrophic fallout of insecure signing keys and the systemic flaws in Public Key Infrastructure (PKI).
The panel discusses the risks of weak entropy, the reality of certificate lifecycles in the era of ephemeral AI agents and IoT devices, and whether modern enterprise security must shift toward decentralized trust models.
This and more on the Tech Field Day Podcast, part of the Futurum Media Podcast Network.
For more Cybersecurity conversations, check out the Security Boulevard Podcast here.
Panelists:
Kate Scarcella, Cybersecurity Architect
Jody Lemoine, Consultant and Trainer
Chris Hayner, Infrastructure and Security Architect
Hosts:
Tom Hollingsworth, Event Lead for Tech Field Day
Alastair Cooke, Event Lead at Tech Field Day
Stephen Foskett, President and Organizer of Tech Field Day
Follow the Tech Field Day Podcast on X/Twitter or on Bluesky and use the Hashtag #TFDPodcast to join the discussion. Listen to more episodes on the podcast page of the website.
Follow Tech Field Day for more information on upcoming and current event coverage on X/Twitter, on Bluesky, and on LinkedIn, or visit our website.
SPOTLIGHT: Networking is Too Complex to Secure Properly Presented by HPE Networking
Watch the presentations fromHPE Networking at Networking Field Day 41 here.Between endless alert fatigue and sprawling microsegmentation demands, securing modern enterprise networks has become an impossible …
Show notes
Watch the presentations fromHPE Networking at Networking Field Day 41 here.
Between endless alert fatigue and sprawling microsegmentation demands, securing modern enterprise networks has become an impossible task for human operators alone.
In this episode of the Tech Field Day Podcast, Tom Hollingsworth and Michael Balasko sit down with Yash Nagaraju, Director, Technical Marketing Engineering at HPE Networking, to dissect why modern IT environments are hitting a breaking point and how AI-driven automation changes the equation.
The discussion explores the realities of agentic AI threats, the critical need for high-fidelity telemetry, and how HPE Mist and Central leverage large experience models to enable self-driving actions without taking control away from network engineers.
This and more on the Tech Field Day Podcast, part of the Futurum Media Podcast Network.
HPE Networking Representative:
Yash Nagaraju, Director, Technical Marketing Engineering at HPE Networking
Panelists:
Michael Balasko, Presales Systems Engineer
Hosts:
Tom Hollingsworth, Event Lead for Tech Field Day
Alastair Cooke, Event Lead at Tech Field Day
Stephen Foskett, President and Organizer of Tech Field Day
Follow the Tech Field Day Podcast on X/Twitter or on Bluesky and use the Hashtag #TFDPodcast to join the discussion. Listen to more episodes on the podcast page of the website.
Follow Tech Field Day for more information on upcoming and current event coverage on X/Twitter, on Bluesky, and on LinkedIn, or visit our website.
129. Considering All the Costs of AI
Learn more about AI Field Day 9 here.When deciding how to use AI, businesses must consider the full impact, not just the financial cost. This episode of the Tech Field Day podcast, recorded prior to AI Field …
Show notes
Learn more about AI Field Day 9 here.
When deciding how to use AI, businesses must consider the full impact, not just the financial cost.
This episode of the Tech Field Day podcast, recorded prior to AI Field Day 9, brings together Ron Pagani, Jr., John Willis, Dave Nicholson, and Stephen Foskett to consider all the costs of AI. One of the biggest issues with AI is maintainability, since the technology tends to create so-called technical debt by building unsustainable systems.
These costs are difficult to see let alone plan for, since by definition we don't know about them. The technical challenges of AI systems also introduce issues, since they can be daunting to implement even for IT and application development experts.
AI systems also tend to converge on similar solutions, so there is a risk that multiple users will get the same answer and this too could pose a risk. There is also a question of accountability and IP ownership for AI-generated content and actions. It's critical to remember that any content created by an LLM is ultimately the responsibility of the people using it.
This and more on the Tech Field Day Podcast, part of the Futurum Media Podcast Network.
Panelists:
Dave Nicholson, Chief Advisor, The Futurum Group
John WIllis, Advisor, Consultant, and Investor
Ron Pagani Jr., Founder of Open Technology Partners
Hosts:
Tom Hollingsworth, Event Lead at Tech Field Day
Alastair Cooke, Event Lead at Tech Field Day
Stephen Foskett, President and Organizer of Tech Field Day
Follow the Tech Field Day Podcast on X/Twitter or on Bluesky and use the Hashtag #TFDPodcast to join the discussion. Listen to more episodes on the podcast page of the website.
Follow Tech Field Day for more information on upcoming and current event coverage on X/Twitter, on Bluesky, and on LinkedIn, or visit our website.
128. Data Center Networking Can't Keep Pace with AI Demands
Learn more about Networking Field Day here.AI is driving data center networking into a high-speed arms race, but severe supply chain logjams and enterprise realities threaten to stall the momentum. In this …
Show notes
Learn more about Networking Field Day here.
AI is driving data center networking into a high-speed arms race, but severe supply chain logjams and enterprise realities threaten to stall the momentum.
In this episode of the Tech Field Day Podcast, host Tom Hollingsworth is joined by Scott Robohn and Andy Banta to debate whether data center networking can keep up with its massive AI-driven growth targets heading into Networking Field Day 41.
The panel explores the widening gap between high-end AI data fabrics operating at 400G to 1.6T speeds and standard enterprise access networks, the fragmentation of unified network architectures, supply chain lead times reaching up to 15 months, and whether current vendor growth metrics reflect long-term architectural shift or a market bubble.
This and more on the Tech Field Day Podcast, part of the Futurum Podcast Network.
Panelists:
Scott Robohn, Founder of the Network Automation Forum
Andy Banta, Consultant and AI Infrastructure Expert
Hosts:
Tom Hollingsworth, Event Lead for Tech Field Day
Alastair Cooke, Event Lead at Tech Field Day
Stephen Foskett, President and Organizer of Tech Field Day
Follow the Tech Field Day Podcast on X/Twitter or on Bluesky and use the Hashtag #TFDPodcast to join the discussion. Listen to more episodes on the podcast page of the website.
Follow Tech Field Day for more information on upcoming and current event coverage on X/Twitter, on Bluesky, and on LinkedIn, or visit our website.
SPOTLIGHT: Modern Identity Governance and Clean Recovery Can Secure AI Agents Presented by Commvault
Learn more about Commvault Shift here. Too many organizations continue to take a traditional approach to security and identity, even as AI agents are invited behind the firewall. On this episode of the Tech …
Show notes
Learn more about Commvault Shift here.
Too many organizations continue to take a traditional approach to security and identity, even as AI agents are invited behind the firewall.
On this episode of the Tech Field Day Podcast, Vidya Shankaran of Commvault joins delegates Karen Lopez and Shala Warner to discuss modern workforce security ahead of the November Commvault SHIFT event.
It begins with identity, with most of us managing hundreds of virtual identities for access to applications and data. Rather than allowing all of these identities, organizations should form an AI Center of Excellence to determine governance, identity, and access, and should control this using a centralized IAM tool.
But this exposes a new attack surface if this system is compromised, either to protect access or prevent denial of service. Although it would be ideal if companies could prepare themselves for AI, the first step is a basic data protection strategy that is able to restore the status quo after a breach.
These systems must be tested and proven, and then connected with identity and data teams. The key is a clean recovery, that includes a complete set of data and applications, and this is has been a focus of Commvault for many years. and we will learn more about the state of the art in cyber-resilience at SHIFT in Nashville this November.
This and more on the Tech Field Day Podcast, part of the Futurum Podcast Network.
Commvault Representative:
Vidya Shankaran, Field CTO at Commvault
Karen Lopez, Independent Analyst and Data Expert
Shala Warner, Architect and Content Creator
Hosts:
Tom Hollingsworth, Event Lead for Tech Field Day
Alastair Cooke, Event Lead at Tech Field Day
Stephen Foskett, President and Organizer of Tech Field Day
Follow the Tech Field Day Podcast on X/Twitter or on Bluesky and use the Hashtag #TFDPodcast to join the discussion. Listen to more episodes on the podcast page of the website.
Follow Tech Field Day for more information on upcoming and current event coverage on X/Twitter, on Bluesky, and on LinkedIn, or visit our website.
126. AI Safely Deploys and Tests Your Infrastructure Code
Learn more about Cloud Field Day 26 #CFD26 here. Vibe coding and AI assistants promise to turbocharge IT infrastructure deployment, but can generative tools truly replace human discipline, rigorous testing, and …
Show notes
Learn more about Cloud Field Day 26 #CFD26 here.
Vibe coding and AI assistants promise to turbocharge IT infrastructure deployment, but can generative tools truly replace human discipline, rigorous testing, and engineering experience?
In this episode of the Tech Field Day Podcast, host Alastair Cooke is joined by industry experts Pete Welcher and Jens Soeldner to break down the realities of using AI for infrastructure automation and CloudFormation templates.
The panel explores the critical line between disciplined AI assistance and reckless "vibe coding," explaining why using the same AI to write and test code is a recipe for disaster. From problem decomposition and digital twins to the shifting job market for junior engineers and rising AI token costs, they share practical insights on how enterprise IT teams can safely harness AI speed without sacrificing code quality or governance.
This and more on the Tech Field Day Podcast, part of the Futurum Podcast Network and Futurum Media.
Panelists:
Jens Soeldner, IT-Instructor, IT-Consultant, Lecturer
Pete Welcher, Networking Expert
Hosts:
Tom Hollingsworth, Event Lead for Tech Field Day
Alastair Cooke, Event Lead at Tech Field Day
Stephen Foskett, President and Organizer of Tech Field Day
Follow the Tech Field Day Podcast on X/Twitter or on Bluesky and use the Hashtag #TFDPodcast to join the discussion. Listen to more episodes on the podcast page of the website.
Follow Tech Field Day for more information on upcoming and current event coverage on X/Twitter, on Bluesky, and on LinkedIn, or visit our website.
125. You Really Don't Need Indoor Standard Power for 6 GHz Wi-Fi
Just because you can turn on standard power for your indoor 6 GHz Wi-Fi network doesn’t mean you should.In this episode of the Tech Field Day Podcast, host Tom Hollingsworth is joined by Wi-Fi experts Mark …
Show notes
Just because you can turn on standard power for your indoor 6 GHz Wi-Fi network doesn’t mean you should.
In this episode of the Tech Field Day Podcast, host Tom Hollingsworth is joined by Wi-Fi experts Mark Houtz and Keith Parsons to debate whether indoor standard power is actually necessary.
While standard power helps client devices transmit louder to fill coverage gaps, it requires Automated Frequency Coordination (AFC) and sacrifices valuable channel spectrum.
The panel breaks down real-world client behavior, channel width trade-offs, and why traditional Low Power Indoor (LPI) design might still be the smarter choice for your network.
This and more on the Tech Field Day Podcast, part of the Futurum Podcast Network.
Panelists:
Keith Parsons, Wi-Fi Expert
Mark Houtz, Wi-Fi Engineer
Hosts:
Tom Hollingsworth, Event Lead for Tech Field Day
Alastair Cooke, Event Lead at Tech Field Day
Stephen Foskett, President and Organizer of Tech Field Day
Follow the Tech Field Day Podcast on X/Twitter or on Bluesky and use the Hashtag #TFDPodcast to join the discussion. Listen to more episodes on the podcast page of the website.
124. Solar, Batteries, and Electrification Can Make Grid Power Optional
Solar and battery electrification has become remarkably affordable and compelling recently, and can easily replace utility service. This episode of the Tech Field Day podcast features delegates Andy Banta and …
Show notes
Solar and battery electrification has become remarkably affordable and compelling recently, and can easily replace utility service.
This episode of the Tech Field Day podcast features delegates Andy Banta and Paul Braren discussing their own implementation of solar panels, batteries, heat pumps, and EV charging.
There are many reasons to switch away from grid power: Environmentalism, independence, frugality, and a serious nerd-factor. Many of us got involved with this trend with energy-efficient electric appliances and electric vehicles.
Then we adopted batteries and inverters to provide backup power in the event of an emergency. These pair nicely with large rooftop solar panel installation, allowing the whole system to function autonomously.
Hosts:
Tom Hollingsworth, Event Lead for Tech Field Day
Alastair Cooke, Event Lead at Tech Field Day
Stephen Foskett, President and Organizer of Tech Field Day
Follow the Tech Field Day Podcast on X/Twitter or on Bluesky and use the Hashtag #TFDPodcast to join the discussion. Listen to more episodes on the podcast page of the website.
Follow Tech Field Day for more information on upcoming and current event coverage on X/Twitter, on Bluesky, and on LinkedIn, or visit our website.
123. AI Costs Push Enterprise IT Toward Efficient Inference
As artificial intelligence rewires enterprise IT, the industry is quickly pivoting from speculative hype to cold, hard economic realities. In this episode of the Tech Field Day Podcast, host Tom …
Show notes
As artificial intelligence rewires enterprise IT, the industry is quickly pivoting from speculative hype to cold, hard economic realities.
In this episode of the Tech Field Day Podcast, host Tom Hollingsworth is joined by Alastair Cooke and Stephen Foskett to unpack the major drivers shaping technology moving through 2026 and into 2027.
The panel explores the transition from massive model training to practical business inference, while breaking down a looming hardware supply crisis that is spiking the cost of RAM, SSDs, and core data center infrastructure.
From token pricing opacity and enterprise cost transparency to market power dynamics between hyperscalers, legacy server giants, and agile software startups, Tom, Alastair, and Stephen frame how these macro shifts will dictate the next wave of enterprise networking, cloud, and security.
This and more on the Tech Field Day Podcast featuring Tom Hollingsworth, Alastair Cooke, and Stephen Foskett.
Hosts:
Tom Hollingsworth, Event Lead for Tech Field Day
Alastair Cooke, Event Lead at Tech Field Day
Stephen Foskett, President and Organizer of Tech Field Day
Follow the Tech Field Day Podcast on X/Twitter or on Bluesky and use the Hashtag #TFDPodcast to join the discussion. Listen to more episodes on the podcast page of the website.
Follow Tech Field Day for more information on upcoming and current event coverage on X/Twitter, on Bluesky, and on LinkedIn, or visit our website.
SPOTLIGHT: Sovereign AI Requires an Open Foundation Presented by CNCF
Sovereignty in AI means having the ability to choose, to choose what is done with proprietary data, choose what model and choose where AI operates. This episode of the Tech Field Day podcast features Jonathan …
Show notes
Sovereignty in AI means having the ability to choose, to choose what is done with proprietary data, choose what model and choose where AI operates.
This episode of the Tech Field Day podcast features Jonathan Bryce from the Cloud Native Computing Foundation (CNCF) discussing sovereign AI with Ron Pagani Jr and Alastair Cooke.
Sovereignty is often considered viewed as choosing which jurisdiction applies the rule of law, with the US CLOUD act making US owned or operated platforms globally subject to US law. Yet sovereignty also has the element of self-determination, the ability to choose where to store and use the unique data a company holds.
Vitally, the ability control what data is handed to third party platforms and services. The ability to use open-weight AI models either on-premises or inside a cloud tenancy offers greater data control, using a hyperscale AI service offers different advantages. Sovereignty in AI is about having the choice to use the right tools and technologies.
CNCF Representative: Jonathan Bryce, Executive Director at the Cloud Native Computing Foundation
Panelists:
Ron Pagani Jr., Founder of Open Technology Partners
Hosts:
Tom Hollingsworth, Event Lead for Tech Field Day
Alastair Cooke, Event Lead at Tech Field Day
Stephen Foskett, President and Organizer of Tech Field Day
Follow the Tech Field Day Podcast on X/Twitter or on Bluesky and use the Hashtag #TFDPodcast to join the discussion. Listen to more episodes on the podcast page of the website.
Follow Tech Field Day for more information on upcoming and current event coverage on X/Twitter, on Bluesky, and on LinkedIn, or visit our website.
SPOTLIGHT: Fibre Channel is the Bedrock of Modern AI Storage Presented by Cisco MDS
We keep hearing about AI datacenters in space, and the incredible advances made with reusable space launch and solar power makes this seem feasible. On this episode of the Tech Field Day Podcast, Ray Lucchesi …
Show notes
We keep hearing about AI datacenters in space, and the incredible advances made with reusable space launch and solar power makes this seem feasible.
On this episode of the Tech Field Day Podcast, Ray Lucchesi, Scott Robohn, and Stephen Foskett discuss the challenges and benefits of orbital datacenters.
The discussion begins with the various issues facing datacenters in space: Launch cost, communications latency and bandwidth, reliability and service, radiation, power, and cooling.
Cisco MDS Representative:
Judd Pickett, Hyper Specialist for Cisco MDS
Hosts:
Tom Hollingsworth, Event Lead for Tech Field Day
Alastair Cooke, Event Lead at Tech Field Day
Stephen Foskett, President and Organizer of Tech Field Day
Follow the Tech Field Day Podcast on X/Twitter or on Bluesky and use the Hashtag #TFDPodcast to join the discussion. Listen to more episodes on the podcast page of the website.
Follow Tech Field Day for more information on upcoming and current event coverage on X/Twitter, on Bluesky, and on LinkedIn, or visit our website.
120. Making Space for AI in Orbit
We keep hearing about AI datacenters in space, and the incredible advances made with reusable space launch and solar power makes this seem feasible. On this episode of the Tech Field Day Podcast, Ray Lucchesi …
Show notes
We keep hearing about AI datacenters in space, and the incredible advances made with reusable space launch and solar power makes this seem feasible.
On this episode of the Tech Field Day Podcast, Ray Lucchesi, Scott Robohn, and Stephen Foskett discuss the challenges and benefits of orbital datacenters.
The discussion begins with the various issues facing datacenters in space: Launch cost, communications latency and bandwidth, reliability and service, radiation, power, and cooling.
Panelists:
Ray Lucchesi, Silverton Consulting
Scott Robohn, CEO of Solutional
Hosts:
Tom Hollingsworth, Event Lead for Tech Field Day
Alastair Cooke, Event Lead at Tech Field Day
Stephen Foskett, President and Organizer of Tech Field Day
Follow the Tech Field Day Podcast on X/Twitter or on Bluesky and use the Hashtag #TFDPodcast to join the discussion. Listen to more episodes on the podcast page of the website.
Follow Tech Field Day for more information on upcoming and current event coverage on X/Twitter, on Bluesky, and on LinkedIn, or visit our website.
SPOTLIGHT: AI is Calling in 20 Years of Technical Debt Presented by Broadcom
Adding generative AI to enterprise applications is exposing up to 20 years of technical debt in enterprise IT infrastructure and applications. This episode of the Tech Field Day podcast features Sabina Anja …
Show notes
Adding generative AI to enterprise applications is exposing up to 20 years of technical debt in enterprise IT infrastructure and applications.
This episode of the Tech Field Day podcast features Sabina Anja from Broadcom's VMware Cloud Foundation team discussing the impact of AI with Andy Banta, Ron Pagani Jr., and Alastair Cooke.
The panel argues that the public cloud never eliminated technical debt, merely hid it behind a bill, and that AI workloads are now surfacing the same question of how quickly organizations can move from idea to production.
Part of the problem is an "immortal VM" culture where decades-old virtual machines persist unchanged, creating a mismatch with ephemeral agentic AI workloads that must coexist with legacy systems on the same infrastructure. Compounding drivers include AI itself generating more code and debt through agentic coding, the disconnect between developers who build infrastructure informally and finance/ops teams locked into three-to-five-year hardware cycles even as GPU, RAM, and SSD economics shift within a year, and the "best of breed" fallacy of buying excellent components without solving integration and orchestration.
The panel's proposed remedy centres on treating infrastructure and process as inseparable, starting from clear business goals, building elastic software-defined resource pools that can be dynamically allocated via automation and CI/CD, and giving developers more direct, API-driven access to infrastructure.
Sabina likened today's GPU underutilization to mainframe time-sharing, and Alastair using a "Toyota Corolla vs. tuned AMG" analogy to argue for differentiating generic from purpose-built AI infrastructure.
Broadcom Representative: Sabina Anja, Chief Technologist for VMware Cloud Foundation at Broadcom
Panelists:
Andy Banta, Consultant
Ron Pagani Jr., Founder of Open Technology Partners
Hosts:
Tom Hollingsworth, Event Lead for Tech Field Day
Alastair Cooke, Event Lead at Tech Field Day
Stephen Foskett, President and Organizer of Tech Field Day
Follow the Tech Field Day Podcast on X/Twitter or on Bluesky and use the Hashtag #TFDPodcast to join the discussion. Listen to more episodes on the podcast page of the website.
Follow Tech Field Day for more information on upcoming and current event coverage on X/Twitter, on Bluesky, and on LinkedIn, or visit our website.
SPOTLIGHT: Data Needs Some Help to Get the Most from AI Inference Presented by CTERA
Unstructured corporate data needs some help to be ready for AI agents and inference. This episode of the Tech Field Day podcast features Aron Brand from CTERA discussing unstructured preparation with Andy …
Show notes
Unstructured corporate data needs some help to be ready for AI agents and inference.
This episode of the Tech Field Day podcast features Aron Brand from CTERA discussing unstructured preparation with Andy Banta, Barton George, and Alastair Cooke.
The first challenge is to find data where it resides and understand what you have in your file shares and object stores. Unlike a data lake, CTERAS can your data where it is to inherit permissions and changes as they occur. Tagging remains an important part of identifying data contents. Adding automated text extraction, audio and video transcription, and summarization allow automated tagging while the extracted data is useful for AI too.
CTERA believes the original file system is the right place for these reusable pieces of derived data is alongside the original files rather than locked in a proprietary platform.
CTERA Representative:
Panelists:
Andy Banta, Consultant
Barton George, Founder of 808 Labs
Hosts:
Tom Hollingsworth, Event Lead for Tech Field Day
Alastair Cooke, Event Lead at Tech Field Day
Stephen Foskett, President and Organizer of Tech Field Day
Follow the Tech Field Day Podcast on X/Twitter or on Bluesky and use the Hashtag #TFDPodcast to join the discussion. Listen to more episodes on the podcast page of the website.
Follow Tech Field Day for more information on upcoming and current event coverage on X/Twitter, on Bluesky, and on LinkedIn, or visit our website.
117. Multi-Terabyte GPUs the Only Answer for AI Scaling
Are multi-terabyte GPUs and massive frontier models really the answer to enterprise AI, or are we hitting a hard wall of soaring memory costs and power constraints? In this episode of the Tech Field Day …
Show notes
Are multi-terabyte GPUs and massive frontier models really the answer to enterprise AI, or are we hitting a hard wall of soaring memory costs and power constraints?
In this episode of the Tech Field Day Podcast, host Alastair Cooke sits down with technical experts Ron Pagani Jr., Andy Banta, and Brian Martin to examine whether brute-force hardware scaling remains sustainable.
The panel debates scale-up vs. scale-out architectures, emphasizing how smart software optimizations—such as persistent KV caching (MinIO MemKV, Solidigm) and intelligent data layers (CTERA)—can eliminate redundant GPU computation and lower costs.
They also explore agentic microservices, power and cooling bottlenecks, and why right-sizing AI models for production is critical for achieving real-world enterprise ROI.
Panelists:
Andy Banta, Consultant
Brian Martin, AI and Data Center Lead at Signal65
Ron Pagani Jr., Founder of Open Technology Partners
Hosts:
Tom Hollingsworth, Event Lead for Tech Field Day
Alastair Cooke, Event Lead at Tech Field Day
Stephen Foskett, President and Organizer of Tech Field Day
Follow the Tech Field Day Podcast on X/Twitter or on Bluesky and use the Hashtag #TFDPodcast to join the discussion. Listen to more episodes on the podcast page of the website.
Follow Tech Field Day for more information on upcoming and current event coverage on X/Twitter, on Bluesky, and on LinkedIn, or visit our website.
SPOTLIGHT: Data Centers Need to be Multi-Tenant presented by Netris
As the explosive rise of AI workloads brings massive GPU clusters back to on-premises environments and surging neo-clouds, the race to maximize hardware utilization has made multi-tenancy an absolute …
Show notes
As the explosive rise of AI workloads brings massive GPU clusters back to on-premises environments and surging neo-clouds, the race to maximize hardware utilization has made multi-tenancy an absolute necessity.
In this episode of the Tech Field Day Spotlight Podcast, host Tom Hollingsworth sits down with networking experts Scott Robohn, Ed Weadon, and Netris CEO and Cofounder Alex Saroyan to dissect the hidden complexities of modern AI infrastructure. Managing thousands of GPUs means navigating dense networking architectures like quad-planes, massive power restrictions, and the intricate blending of Ethernet and InfiniBand environments.
Alex reveals how Netris solves these scaling bottlenecks from Day 0 using digital twin simulations and automated network abstraction, allowing operators to dynamically isolate cluster resources for different tenants through simple, unified API calls.
Netris Representative:
Alex Saroyan, Cofounder and CEO of Netris
Scott Robohn, CEO of Solutional
Ed Weadon, Network Engineer
Follow the Tech Field Day Podcast on X/Twitter or on Bluesky and use the Hashtag #TFDPodcast to join the discussion. Listen to more episodes on the podcast page of the website.
Follow Tech Field Day for more information on upcoming and current event coverage on X/Twitter, on Bluesky, and on LinkedIn, or visit our website.
SPOTLIGHT: Networks Need to Drive Themselves presented by HPE
Imagine walking into the office, grabbing your morning coffee, and realizing your network dashboard is perfectly green because an AI agent silently resolved every issue while you slept. In this episode of the …
Show notes
Imagine walking into the office, grabbing your morning coffee, and realizing your network dashboard is perfectly green because an AI agent silently resolved every issue while you slept.
In this episode of the Tech Field Day Podcast, Imagine walking into the office, grabbing your morning coffee, and realizing your network dashboard is perfectly green because an AI agent silently resolved every issue while you slept.
In this Spotlight episode of the Tech Field Day Podcast presented by HPE Networking, host Tom Hollingsworth sits down with network practitioners Keith Parsons and Mark Houtz, alongside Hewlett Packard Enterprise’s Sunalini Sankhavaram, to explore the paradigm shift from reactive, AI-driven troubleshooting to proactive, self-driving networks.
They discuss the critical issue of trust in automation, detailing how HPE's Marvis progresses from "driver-assist" recommendations to fully autonomous remediation. From preventing broadcast storms in hospitals to lightening the load for budget-constrained IT teams, discover how agentic AI and digital twins are reshaping the future of enterprise operations without taking away the essential human in the loop.
This and more on the Tech Field Day Podcast Spotlight presented by HPE Networking.
Try Mist AI: https://www.hpe.com/us/en/mist-ai.html
HPE Networking: http://hpe.com/networking
HPE Representative:
Sunalini Sankhavaram, VP of Product Management at HPE
Keith Parsons, Network Engineer
Mark Houtz, Network Engineer
Follow the Tech Field Day Podcast on X/Twitter or on Bluesky and use the Hashtag #TFDPodcast to join the discussion. Listen to more episodes on the podcast page of the website.
Follow Tech Field Day for more information on upcoming and current event coverage on X/Twitter, on Bluesky, and on LinkedIn, or visit our website.
SPOTLIGHT: Enterprise Networks Are Embracing Open Options Presented by Cisco
Enterprises are increasingly turning to open networking and they need guidance to ensure the right choices are being made. A great partner can ease the transition. In this episode of the Tech Field Day podcast …
Show notes
Enterprises are increasingly turning to open networking and they need guidance to ensure the right choices are being made. A great partner can ease the transition.
In this episode of the Tech Field Day podcast, brought to you by Cisco, Tom Hollingsworth is joined by Scott Robon, Ryan Booth, and Cisco’s Surbhi Paul explore how AI infrastructure demands are pushing organizations to rethink their network architectures.
The consensus is that while SONiC was once primarily a hyperscaler and experimental technology, it has matured significantly and is now appearing in real enterprise and U.S. government deployments. Cisco’s position is to meet customers where they are, supporting both their established NX-OS/ACI platforms and Sonic on Nexus 9K hardware, giving organizations the flexibility to shift software strategies without replacing physical infrastructure.
Open networking isn’t a one-size-fits-all solution. It requires honest assessment of a team’s internal skill set and operational maturity. Cisco frames its SONiC offering around three pillars: the Cisco 8000 series for hyperscale and web-scale use cases, the Nexus 9K for enterprise AI fabrics, and Nexus Hyperfabric for organizations that want the benefits of SONiC without the complexity of managing it themselves. Cisco differentiates itself by backing Sonic deployments with 24/7 TAC support and lifecycle management tools, bridging the gap between open-source flexibility and the reliability enterprises depend on.
Panelists:
Cisco Representative: Surbhi Paul, Product Leader at Cisco
Scott Robohn, CEO of Solutional
Ryan Booth, AI Consultant and Architect
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Follow Tech Field Day for more information on upcoming and current event coverage on X/Twitter, on Bluesky, and on LinkedIn, or visit our website.
113. Optimizing Existing Hardware with Smart Software is the Only Way to Survive the AI Boom
Learn more about AI Infrastructure Field Day 5 here. Think you can just buy more GPUs to solve your AI infrastructure problems? Think again. In this episode of the Tech Field Day Podcast, recorded live on-site …
Show notes
Learn more about AI Infrastructure Field Day 5 here.
Think you can just buy more GPUs to solve your AI infrastructure problems? Think again.
In this episode of the Tech Field Day Podcast, recorded live on-site at AI Infrastructure Field Day 5, host Alastair Cooke sits down with industry experts Ray Lucchesi, Frederic Van Haren, and Brandon Whichard to discuss why the endless race for new hardware is hitting a wall.
With supply chain shortages and massive power demands making upgrades difficult, companies must shift their focus toward optimizing the technology they already own. The panel explores how clever software tools, smaller foundation models, and efficient token management can squeeze maximum performance out of existing data centers.
The panel explores the real secret to scaling AI lies in smart software practices rather than just buying more chips.
112. Trillion Dollar AI Hype is Just Tech Groundhog Day
Learn more about AI Field Day here.The massive promises surrounding artificial intelligence are just history repeating itself. In this episode of the Tech Field Day Podcast recorded on-site at AI Field Day 8 …
Show notes
Learn more about AI Field Day here.
The massive promises surrounding artificial intelligence are just history repeating itself.
In this episode of the Tech Field Day Podcast recorded on-site at AI Field Day 8, host Stephen Foskett is joined by Jim Czuprynski, Kate Scarcella, and Jeff Ello to debate the explosive world of AI hype.
They compare the current generative AI boom to past tech cycles like the dot-com era and early cloud computing. Together, they break down the brutal financial realities of a trillion-dollar AI infrastructure investment, dropping software precision, and the truth behind Large Language Models versus traditional machine learning.
Panelists:
Jim Czuprynski, Chief Storyteller at Zero Defect Computing
Jeff Ello, Head of AI at Purdue University
Kate Scarcella, Chair of CD Foundation
Hosts:
Tom Hollingsworth, Event Lead for Tech Field Day
Alastair Cooke, Event Lead at Tech Field Day
Stephen Foskett, President and Organizer of Tech Field Day
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111. Enterprise AI Will Fail Without a Dedicated Data Strategy
Learn more about AI Infrastructure Field Day 5 here. Think your expensive GPUs are the biggest factor in AI performance? Think again. Without a high-performance data storage strategy to keep them supplied with …
Show notes
Learn more about AI Infrastructure Field Day 5 here.
Think your expensive GPUs are the biggest factor in AI performance? Think again. Without a high-performance data storage strategy to keep them supplied with data, your AI infrastructure can become an expensive machine sitting idle. In this episode of the Tech Field Day Podcast, host Alastair Cooke is joined by industry experts Barton George and Ron Pagani Jr. to discuss the industry’s shift from data-intensive AI training to fast, transaction-heavy inference workloads and how data gravity is forcing organizations to rethink where they place data, caches, and compute resources. They also examine rising DRAM and SSD costs, the challenges of deploying Small Language Models (SLMs) at the edge, and the growing need for security and governance as autonomous AI agents become more common in enterprise environments.
Panelists:
Barton George, Founder of 808 Labs
Ron Pagani Jr., Founder of Open Technology Partners
Hosts:
Tom Hollingsworth, Event Lead for Tech Field Day
Alastair Cooke, Event Lead at Tech Field Day
Stephen Foskett, President and Organizer of Tech Field Day
Follow the Tech Field Day Podcast on X/Twitter or on Bluesky and use the Hashtag #TFDPodcast to join the discussion. Listen to more episodes on the podcast page of the website.
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110. You Can't Bet Your Company's Future on AI
Learn more about Tech Field Day at Cisco Live US here. Is the AI tech bubble about to burst just like the dot-com boom did? On this episode of the Tech Field Day Podcast ahead of Cisco Live 2026, host Tom …
Show notes
Learn more about Tech Field Day at Cisco Live US here.
Is the AI tech bubble about to burst just like the dot-com boom did?
On this episode of the Tech Field Day Podcast ahead of Cisco Live 2026, host Tom Hollingsworth and experts Sam Clements, Ed Weadon, and Rob Coote look at the real state of enterprise AI.
They discuss why tech giants are facing layoffs despite record profits, and whether companies should stick to selling hardware infrastructure instead of forcing useless AI chatbots into everything. The panel compares today's AI hype to past tech trends, looking closely at rising token costs and heavy investor pressure. Watch to find out why betting your entire business strategy on unproven AI features might be a huge mistake for your organization.
Panelists:
Sam Clements, Technical Solutions Architect
Ed Weadon, Senior Network Engineer
Rob Coote, Director, Cybersecurity and Infrastructure
Hosts:
Tom Hollingsworth, Event Lead for Tech Field Day
Alastair Cooke, Event Lead at Tech Field Day
Stephen Foskett, President and Organizer of Tech Field Day
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109. We Can’t Trust Networks to Fix Themselves
Learn more about Mobility Field Day here. AI is changing the way we maintain and troubleshoot networks, offering suggested fixes and knowledge about issues. But we aren’t ready to trust it in fully autonomous …
Show notes
Learn more about Mobility Field Day here.
AI is changing the way we maintain and troubleshoot networks, offering suggested fixes and knowledge about issues. But we aren’t ready to trust it in fully autonomous mode yet.
In this episode of the Tech Field Day Podcast, Dan Ryan, Chris Reed, and Alan Wang join Tom Hollingsworth on-site at Mobility Field Day to discuss why fully autonomous networking still feels out of reach despite rapid advances in AI. The group explores the tension between deterministic networking protocols like OSPF and BGP and the non-deterministic nature of LLMs, noting that while AI excels at parsing data and suggesting fixes, it often lacks the business context needed to distinguish real problems from expected anomalies.
They also raise concerns about a growing skills gap, arguing that overreliance on AI for Tier 1 and Tier 2 troubleshooting could prevent junior engineers from developing the deep expertise needed to validate AI-generated recommendations. Ultimately, the delegates agree that networking still requires a human-in-the-loop approach, with AI best suited for guided troubleshooting, scripting, and low-risk operational tasks rather than fully autonomous control.
Panelists:
Chris Reed, Principal Consultant
Dan Ryan, Principal Solution Architect at Connection
Hosts:
Tom Hollingsworth, Event Lead for Tech Field Day
Alastair Cooke, Event Lead at Tech Field Day
Stephen Foskett, President and Organizer of Tech Field Day
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SPOTLIGHT: You Don’t Have To Pick Just One AI Network Presented by Cisco
AI networking is quickly becoming a critical part of the enterprise. You need make the right choice about which hardware you want to use but you aren’t necessarily locked into a single choice. In this episode …
Show notes
AI networking is quickly becoming a critical part of the enterprise. You need make the right choice about which hardware you want to use but you aren’t necessarily locked into a single choice. In this episode of the Tech Field Day podcast, brought to you by Cisco, Tom Hollingsworth is joined by Scott Robohn and Richard Licon of Cisco as they discuss rapidly evolving landscape of AI networking, emphasizing that organizations no longer have to settle for a “one-size-fits-all” approach. They explore the shift from purely software-driven innovation back to high-performance hardware, where custom silicon like Cisco Silicon One and merchant silicon are becoming central to infrastructure. The conversation highlights how the transition from AI model training to real-time inferencing in 2026 demands more flexible and programmable hardware pipelines. By leveraging tools like P4 programming, network engineers can now adjust their infrastructure mid-cycle to optimize traffic patterns and ensure consistent job completion times as workload needs shift.
The discussion also highlights Cisco’s strategic partnership with NVIDIA, offering customers a choice between distinct networking ecosystems based on their specific goals. For those requiring strict adherence to NVIDIA’s validated designs and the Secure AI Factory, the Cisco Nexus 9100 with Spectrum-X silicon provides a certified, high-performance path. Conversely, organizations seeking maximum flexibility and custom tuning for diverse workloads can opt for Cisco Silicon One. Ultimately, the experts agree that while the technical requirements of AI networking are increasingly complex, the availability of diverse silicon options and consistent operating systems like NX-OS or SONiC allows enterprises to build future-proof, composable infrastructure that can adapt to the unpredictable pace of AI development.
Panelists:
Richard Licon, Principal Technical Marketing Engineer at Cisco
Scott Robohn, Founder and CEO, Solutional
Hosts:
Tom Hollingsworth, Event Lead for Tech Field Day
Alastair Cooke, Event Lead at Tech Field Day
Stephen Foskett, President and Organizer of Tech Field Day
Follow the Tech Field Day Podcast on X/Twitter or on Bluesky and use the Hashtag #TFDPodcast to join the discussion. Listen to more episodes on the podcast page of the website.
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107. Mistaking Quantity for Quality in Tech and Life
Learn More about AI Field Day 8 here. Now that AI has enabled us to have an unlimited amount of content, generated on demand and instantly, we find ourselves questioning the quality of the output. This episode …
Show notes
Learn More about AI Field Day 8 here.
Now that AI has enabled us to have an unlimited amount of content, generated on demand and instantly, we find ourselves questioning the quality of the output.
This episode of the Tech Field Day podcast, recorded prior to AI Field Day by delegates Barbara Roos, Guy Currier, Dave Graham, and Stephen Foskett, considers this common trade-off.
Large Language Models are fundamentally personal and responsive, delivering an answer that is statistically matched to your query. This can lead users astray, as a chatbot confidently answers every question regardless of insight.
These systems are best when paired with human domain expertise and fed quality data, but they are often starved of context.
Panelists:
Guy Currier, Research Director and Analyst at The Futurum Group
Barbara Roos, Founder and Principal Consultant at Trailhead Communications
Dave Graham, Head of Marketing at MLCommons
Hosts:
Tom Hollingsworth, Event Lead for Tech Field Day
Alastair Cooke, Event Lead at Tech Field Day
Stephen Foskett, President and Organizer of Tech Field Day
Follow the Tech Field Day Podcast on X/Twitter or on Bluesky and use the Hashtag #TFDPodcast to join the discussion. Listen to more episodes on the podcast page of the website.
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106. AI Driven Networks are More Marketing Than Reality
Learn more about Mobility Field Day 14 here. AI is everywhere in networking right now, but the reality doesn’t always match the marketing. In this episode of the Tech Field Day Podcast ahead of Mobility Field …
Show notes
Learn more about Mobility Field Day 14 here.
AI is everywhere in networking right now, but the reality doesn’t always match the marketing. In this episode of the Tech Field Day Podcast ahead of Mobility Field Day, Tom Hollingsworth is joined by Jennifer Huber and Megan Sorensen to break down what “AI-driven networks” actually mean in practice, where vendors are positioning AI across wireless, automation, and operations, and where those claims start to fall apart.
They discuss into what AI is genuinely good at today, from site surveys to optimization and operations, while calling out its limits, especially around troubleshooting unknown issues and working with poor data. The key takeaway is simple: AI is only as good as the data behind it. Instead of buying into the hype, this conversation focuses on where AI is delivering real value now and how to approach it with realistic expectations.
Megan Sorensen, Networking Engineer
Jennifer Huber, Founder of Huber Works B.V.
Hosts:
Tom Hollingsworth, Event Lead for Tech Field Day
Alastair Cooke, Event Lead at Tech Field Day
Stephen Foskett, President and Organizer of Tech Field Day
Follow the Tech Field Day Podcast on X/Twitter or on Bluesky and use the Hashtag #TFDPodcast to join the discussion. Listen to more episodes on the podcast page of the website.
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105. Busting All of the Myths Around Mythos
Learn more about Security Field Day 15 here. Is Mythos the future of cybersecurity, or just the latest AI hype cycle? In this episode of the Tech Field Day Podcast leading into Security Field Day, host Tom …
Show notes
Learn more about Security Field Day 15 here.
Is Mythos the future of cybersecurity, or just the latest AI hype cycle? In this episode of the Tech Field Day Podcast leading into Security Field Day, host Tom Hollingsworth is joined by Jack Poller, Karen Lopez, and Brett Wolmarans to break down the truth behind Anthropic Mythos model. The panel digs into whether Mythos is truly a breakthrough in vulnerability scanning or simply overhyped, comparing its capabilities to tools like Claude Sonnet.
From exploit chaining and real-world vulnerabilities to the growing role of AI in development and security workflows, the discussion highlights both the promise and limitations of AI-driven security tools. The episode also explores how organizations should approach AI adoption, emphasizing practical strategies, developer awareness, and the importance of not relying on any single tool.
As AI continues to evolve, this conversation offers a grounded look at what actually matters for securing modern environments.
Panelists:
Jack Poller, Principal Analyst at Paradigm Technica
Karen Lopez, Senior Project Manager and Architect, InfoAdvisors
Brett Wolmarans, Staff Solutions Engineer at KONG
Hosts:
Tom Hollingsworth, Event Lead for Tech Field Day
Alastair Cooke, Event Lead at Tech Field Day
Stephen Foskett, President and Organizer of Tech Field Day
Follow the Tech Field Day Podcast on X/Twitter or on Bluesky and use the Hashtag #TFDPodcast to join the discussion. Listen to more episodes on the podcast page of the website.
Follow Tech Field Day for more information on upcoming and current event coverage on X/Twitter, on Bluesky, and on LinkedIn, or visit our website.
104. AI Networking Will Never Make It To The Enterprise
Learn more about Networking Field Day 40 here. AI networking is driving innovation in the market like no other time in history. But the likelihood of all these advances filtering down into the enterprise is …
Show notes
Learn more about Networking Field Day 40 here.
AI networking is driving innovation in the market like no other time in history. But the likelihood of all these advances filtering down into the enterprise is very slim. In this episode of the Tech Field Day Podcast, host Tom Hollingsworth and a panel of IT experts debate whether high-performance AI networking will ever truly penetrate the traditional enterprise. The discussion centers on the premise that the specialized, low-latency fabrics and ultra-high-speed Ethernet modules (like 800GbE) may be overkill for the average organization. While Ethernet continues to evolve to meet these demands, they question if the typical enterprise workload, primarily driven by human users rather than GPU clusters, actually requires the “trickery” of distributed flows and SmartNICs.
The conversation shifts toward the practicalities of adoption, highlighting that while the technology exists, its integration into the enterprise is often limited by physical constraints like power, cooling, and the lack of a killer app. However, the guests suggest that AI networking might arrive in smaller, rack-optimized pods or self-contained black boxes as companies begin to train private models on their own sovereign data. Ultimately, the experts advise that while engineering teams must become literate in high-performance computing, organizations should be wary of over-provisioning for a future they may not yet need, lest their expensive high-speed infrastructure ends up collecting dust.
Panelists:
Jeff Ello, Head of AI at Purdue University
Mike Witte, World Wide Technologies
Vincent Celindro, Director of Strategic Sales & Technology at Quantum Foundry
Hosts:
Tom Hollingsworth, Event Lead for Tech Field Day
Alastair Cooke, Event Lead at Tech Field Day
Stephen Foskett, President and Organizer of Tech Field Day
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