Tech Field Day Podcast

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What’s the Premise?

The Tech Field Day Podcast is a weekly discussion of enterprise IT topics featuring a constantly-changing panel of independent technical influencers. Each episode is centered around a single topic or premise, which we select to be thought-provoking and topical. The podcast is recorded in association with the Tech Field Day event series, and is often recorded on-site at our events.

In 2017 we launched the On-Premise IT Roundtable, a weekly podcast featuring the Tech Field Day delegates. Each episode featured a discussion centered around a premise statement. We chose the name as a play on words, since many used the term “on-premise” to refer to things on-location (or on-premises) as opposed to in the cloud. Between April 2017 and March 2024 we published 322 episodes and reached hundreds of thousands of listeners through Apple Podcasts, Spotify, YouTube, and more.

On March 26, 2024, we refreshed our branding, introducing the Tech Field Day Podcast. The format remains the same, with a panel of independent technical influencers discussing a central premise. Each episode’s panel is drawn from the Tech Field Day delegate community, typically focused on the current Tech Field Day event, with some episodes recorded on-premises! The episodes are moderated by Stephen Foskett or Tom Hollingsworth, our topic leads, who try to keep the discussion on-premise.

We post a new episode every Tuesday and post a video and accompanying article to our social media accounts as well. We do not insert advertisements but some “Spotlight” episodes do feature paying sponsors on the panel to discuss the topic of their choice. Our commitment is to provide an entertaining, technical, and thought-provoking discussion of a single area of enterprise IT every week!

Subscribe to the Tech Field Day Podcast!

New episodes of the Tech Field Day podcast are posted every Tuesday!

Recent Tech Field Day Podcast Episodes

  • Unified Flash Memory and Reduced HBM are Reshaping AI Training and Inference with Phison

    AI will need less HBM (high bandwidth memory) because flash memory unification is changing training and inference. This episode of the Tech Field Day podcast features Sebastien Jean from Phison, Max Mortillaro, Brian Martin, and Alastair Cooke. Training, fine-tuning, and inference with Large Language Models traditionally use GPUs with high bandwidth memory to hold entire data models and data sets. Phison’s aiDaptiv+ framework offers the ability to trade lower cost of infrastructure against training speed or allow larger data sets (context) for inference. This approach enables users to balance cost, compute, and memory needs, making larger models accessible without requiring…

  • Software is Automating Your AI Data Centre Infrastructure

    Hardware always matters, especially in AI and now software is automating your AI data centre infrastructure. This episode of the Tech Field Day podcast features Gina Rosenthal, Barton George, Andy Banta, and Alastair Cooke. Generative AI brought new hardware into enterprise data centres; GPUs, TPUs, NPUs, XPUs all offload AI processing from CPUs for more performance and efficiency. Feeding these accelerators requires fast networks and fast storage, common topics for AI Infrastructure Field Day events. In parallel, sophisticated software to automate the deployment and operation of this new hardware is vital to return value fast and optimize the value from…

  • Agentic AI Spells the End of Dial Twiddlers

    If you haven’t already, start working with Generative AI now and make sure to control your ongoing costs. This episode of the Tech Field Day podcast features Russ Fellows, Mitch Lewis, and Brian Martin, all from Signal65, and is hosted by Alastair Cooke. Generative AI is delivering value to businesses of all sizes, but significant evolution in models and technologies remains before maturity is achieved. Experimentation is essential to understand the value of new technologies, starting with cloud resources or small-scale on-premises servers. Business value is derived from the inference stage, where AI tools generate actionable information for users. Generative…

  • Networks Need Agentic AI with HPE Juniper Networking

    Agentic AI is reshaping the IT landscape and networking is no exception. Building upon the previous research into machine learning means we have a head start on harnessing that power. In this episode of the Tech Field Day podcast, brought to you by HPE Juniper Networking, Tom Hollingsworth is joined by Keith Parsons and Sunalini Sankhavaram. They talk about how agentic AI is driving new methods for operating networks and helping humans concentrate on real problems instead of menial tasks. They also discuss how agentic AI can power self-driving networks where configuration and provisioning are done automatically or with a…

  • SASE Makes Convergence Simple with HPE Aruba Networking

    Converged networking is creating complexity with network operations and engineering teams. Ensuring that users are able to access resources and complete workflows means being up-to-date with the latest technology behind the scenes. You need a trusted partner to make it all happen with minimal issues. In this episode of the Tech Field Day Podcast, brought to you by HPE Aruba Networking, Tom Hollingsworth is joined by Chris Grundemann, Jeff Olson, and Adam Fuoss as they discuss the growing challenges with networking and how HPE Aruba Networking is addressing them. They talk about SASE and SSE and how tools such as…

  • Early Adoption of Generative AI Helps Control Costs with Signal65

    If you haven’t already, start working with Generative AI now and make sure to control your ongoing costs. This episode of the Tech Field Day podcast features Russ Fellows, Mitch Lewis, and Brian Martin, all from Signal65, and is hosted by Alastair Cooke. Generative AI is delivering value to businesses of all sizes, but significant evolution in models and technologies remains before maturity is achieved. Experimentation is essential to understand the value of new technologies, starting with cloud resources or small-scale on-premises servers. Business value is derived from the inference stage, where AI tools generate actionable information for users. Generative…