Techzine TV podcast

Coen or Sander

In the Techzine TV podcast we analyze B2B IT solutions, strategies, and trends. IT companies are happy to invite us to talk about what they are working on and what they are going to bring to market. We visit them all around the world, and in some cases, they visit us in our office.  We have a good understanding of how technologies work, or how they should work. We also hear a lot from the market about what companies need or where things go wrong. This gives us the ability to have really in-depth conversations on technology, strategies, and products, but we always try to keep it practical and easy to understand.   We explain innovations, interpret new IT concepts, and use practical examples to make complex technology understandable for everyone. Where necessary, we bring in experts to clarify matters further. The goal is to help IT professionals, decision makers, and other listeners better understand IT developments, but also to help them in their search for new solutions for their business and not get stuck on buzzwords and one-liners. The Techzine TV podcast is an evolution of the previous Techzine Talks on Tour series. We still bring a lot of conversations and interviews from events to this series. We record so many video interviews nowadays, so we can select the best ones for this podcast series. The topics still vary greatly, as Coen and Sander attend a total of 50 to 60 events each year, ranging from open-source events like KubeCon to events hosted by Cisco, IBM, Salesforce and ServiceNow, to name only a few. With a lot of experience in many walks of IT life, Coen and Sander always manage to produce an engaging, in-depth discussion on general trends, but also on technology itself.So follow the Techzine TV podcast and stay in the know. We might just tell you a thing or two you didn't know yet, but which might be very important for your next project or for your organization in general. Stay tuned and follow Techzine TV. 

  1. 14h ago

    800V DC will power future AI data center infrastructure

    Rob Bunger, Global Director of Data Center Solution Architecture at Schneider Electric, sits down with us to talk about why the industry is moving from traditional 48V AC to 800V DC power distribution for next-generation AI workloads. As AI racks scale from 150kW to potentially 1MW per rack, the current power architecture simply cannot deliver the required density without consuming all available rack space with cabling and power supplies. The solution involves leveraging 800V DC technology (partly coming from the EV charging industry), deploying power through sidecar systems, and eventually centralized DC distribution. This shift addresses critical challenges including space constraints, safety requirements, and the need for live-swap capabilities in high-density environments. Bunger discusses real-world deployment timelines, with pilot projects expected in 2024, and explains how this represents a fundamental shift in data center power architecture. Key takeaways: • Why 48V AC power distribution cannot scale beyond current AI rack densities • How 800V DC reduces cabling complexity and saves rack space • The role of sidecar systems in transitioning to DC power • Safety testing and breaker technology for high-voltage DC systems • Timeline for commercial deployment of 800V DC infrastructure Chapters: 0:15 - Introduction to 800V DC power systems 1:38 - Current 48V power architecture explained 3:21 - Power density challenges with AI racks 8:12 - Why 800V DC is the solution 12:12 - Sidecar deployment architecture 15:01 - Deployment timeline and future outlook 17:24 - The return to DC power distribution 19:01 - Safety considerations and testing

    29 min

  2. Jun 23

    Atlassian's CDO on designing AI products that users trust

    Charlie Sutton, Chief Design Officer at Atlassian, discusses the evolving role of design in the AI era. From managing non-deterministic experiences to controlling token costs, he shares insights on how Atlassian approaches AI product design with intention and structure. Sutton explains why good AI design isn't about maximizing outputs but achieving meaningful outcomes. He reveals how Atlassian uses the teamwork graph, structured data, and design tokens to keep AI costs in check while maintaining quality. The conversation explores the tension between deterministic control and generative possibilities, and how context-rich work environments offer advantages over consumer applications. Key takeaways: • Why companies need chief design officers in the AI age • How AI is changing both the tools and materials of design • The importance of user agency over direct control in non-deterministic systems • Strategies for managing AI token costs through structured data • Design principles Atlassian applies to AI products • Moving from AI experimentation to value-driven adoption • Balancing the familiar with the novel in product experiences • Why AI will become assumed, just like the internet Chapters: 0:14 - What is a chief design officer? 2:34 - How AI is transforming design work 3:08 - Balancing control in AI-powered experiences 6:16 - Using the Teamwork Graph in design 8:27 - Managing AI token costs effectively 11:39 - Moving beyond the experimentation phase 13:48 - Principles for AI product design 19:18 - Balancing the familiar with the novel

    22 min

  3. May 13

    AWS invests massively in AI: can it stay ahead of the pack?

    Some time ago we sat down with Martin Elwin, Technology Director for Northern Europe at AWS, and talked about the massive infrastructure investments needed for AI adoption, of course also from AWS. However, simply buying GPUs doesn't deliver AI value. More is needed. We also talk about new on-prem offerings AWS introduced for organizations wanting to control their hardware while benefiting from managed services. Other key topics include production AI deployments using Amazon Bedrock AgentCore for evaluations and drift detection, the importance of continuous testing in AI applications, and how AWS applies its own Amazon learnings to customer challenges in logistics, supply chain optimization, and regulated industries. 0:50 - AI driving infrastructure capacity needs 2:37 - Introducing AWS AI factories 3:49 - Getting business value from AI 10:13 - European sovereign cloud discussion 18:11 - Amazon Bedrock AgentCore for production AI 20:57 - Security agents and continuous testing

    23 min

  4. May 5

    Edge AI and private 5G are made for each other

    At NTT Upgrade 2026, Paul Bloudoff, senior director of Edge AI at NTT Data, discusses with us how edge computing, private 5G, and physical AI are transforming manufacturing operations. We talk about the symbiotic relationship between edge AI and private 5G connectivity, and focus on how manufacturers can achieve real-time insights and automation on the factory floor. During our conversation, Bloudoff talks about real-world examples, including Cargill's deployment of private 5G across 50+ manufacturing facilities, and explains how NTT Data delivers full-stack solutions from sensors to cloud infrastructure. The conversation covers predictive maintenance, task verification through machine vision, and how foundation models can be trained with just 40 hours of video data instead of requiring months of preparation. Key takeaways: • Edge AI focuses on computing as close as possible to data sources in OT environments • Private 5G enables low-latency, high-bandwidth connectivity for real-time manufacturing data • Physical AI models can be deployed in weeks rather than years with modern foundation models • Multiple use cases are typically needed to justify private 5G network deployments • Safety and preventative maintenance are often the first use cases that enable adoption • Full-stack solutions include sensors, connectivity, edge compute, algorithms, and managed services • Partnerships with Nvidia, Qualcomm, and ISVs enable comprehensive edge AI solutions Chapters: 1:35 - Defining the edge in enterprise environments 2:59 - Full stack edge AI solutions 4:54 - Private 5G and edge AI synergy 6:23 - Use cases for edge AI and physical AI 7:41 - Real-world private 5G deployments 13:36 - AI partnerships and ecosystem approach 13:59 - Measuring value and ROI 22:23 - Automation and the future of edge AI

    26 min

  5. Apr 13

    Runtime security and the CISO challenge in the AI era

    In this episode of Techzine TV from RSAC 2026 Conference, Conor Sherman, CISO in Residence at Sysdig, discusses the evolving role of security leaders in the age of AI and cloud-native infrastructure. Sherman shares insights on how CISOs are adapting to rapidly changing threat landscapes where attackers can compromise cloud environments in as little as eight minutes. Key takeaways: • The time from vulnerability disclosure to exploitation has collapsed to under 20 hours • Runtime security has become critical as traditional posture management alone is insufficient • Security leaders must balance dual mandates: transforming their own organizations while advising the business on AI adoption • Threat actors are leveraging AI to accelerate attacks, requiring active defense mechanisms at the kernel level • CISOs should demand proof from vendors through independent testing like Atomic Red Team Chapters: 0:00 - Introduction to Sysdig and CISO in residence role 1:36 - The CISO mindset: excitement and anxiety 5:20 - Active defense and the department of no 8:56 - Runtime security as a priority 13:00 - The layered security challenge 16:47 - Ephemeral workloads and kernel-level visibility 19:51 - What CISOs should ask vendors

    23 min

  6. Apr 7

    We need to use AI to govern agentic workforces, says Rubrik

    Deploying AI agents is not a good idea if there is no governance. That's why Rubrik launched its Agent Cloud, which is powered by what it calls SAGE. This stands for Semantic AI Governance Engine. At RSAC 2026 Conference, we had the chance to speak to Devvret Rishi, GM for AI at Rubrik, to hear all about framework that uses small language models to provide real-time governance over agent operations. According to Rishi, SAGE moves beyond static rules to semantic policy enforcement. This allows organizations to express intent in natural language like "AI should not give financial advice." The platform learns from human feedback, surfaces policy violations with reasoning, and runs efficiently enough to monitor every agent interaction. As agentic workforces emerge, it is important to learn why AI-powered security is the only scalable approach to governing non-deterministic systems. Key takeaways: • Why conventional identity infrastructure can't handle agent-to-agent interactions • How SAGE uses semantic understanding to enforce complex policies in real-time • The three pillars of agent management: visibility, governance, and efficiency • Why small language models are crucial for low-latency policy enforcement • How human-in-the-loop learning prevents false positives without causing alert fatigue • Real-world examples of agents circumventing disabled connectors • Deployment options from cloud-hosted to air-gapped environments Chapters: 2:14 - Why Rubrik tackles AI security 4:05 - The agentic AI challenge 4:16 - Three pillars of agent management 7:27 - Why agents are unpredictable 9:40 - Introducing SAGE framework 11:45 - Deploying small language models 12:02 - How SAGE learns from humans

    20 min

  7. Mar 30

    Securing agentic AI is still about getting the basics right

    Sam Curry, CISO of Zscaler, discusses the security implications of agentic AI workflows at RSAC 2026 Conference with us. We dig into the implications of AI agents on identity management, authentication frameworks, and security operations. Curry emphasizes the critical need for proper governance, zero trust architecture, and accountability as AI agents become the dominant form of interaction on the internet. But where do you start? Key takeaways: • Identity and runtime are the two critical security pillars for agentic AI • AI agents will soon outnumber human interactions online • Authentication, authorization, and authenticity verification are essential for agent security • API security remains a fundamental challenge in the agentic era • Zero trust principles help contain risk and manage agent sprawl • Automation must account for intelligent adversaries to avoid predictability • The future security workforce will blend human expertise with agent assistance Chapters: 0:47 - Identity and runtime as security fundamentals 1:44 - Silicon-based intelligence and agent interactions 3:11 - Building authentication and authorization frameworks 9:51 - Zero trust architecture and governance 11:53 - API security and MCP protocol challenges 18:45 - Automation and adversarial security challenges 19:57 - The future of human-agent collaboration in security

    26 min

  8. Mar 23

    The sovereignty trap: how NetApp navigates the new data borders

    In this episode of Techzine TV, recorded at NetApp Insight Xtra in Eindhoven, Jeff Baxter, VP of Product Marketing at NetApp, discusses the company's approach to data sovereignty in Europe and beyond. With 18 years at NetApp, Baxter provides deep insights into how the company is addressing sovereignty concerns while building AI infrastructure at scale. The conversation covers NetApp's sovereign cloud partnerships, the implications of working with major cloud providers like AWS while maintaining sovereignty principles, and the challenges of supply chain security. Baxter explains how NetApp's AFX platform and AI data engine enable organizations to build exascale AI infrastructure while maintaining full control over their data. The discussion also addresses the growing NAND flash shortage and how NetApp is helping customers optimize their storage infrastructure. Key takeaways: • Data sovereignty requires both data residency and control over accessibility • NetApp partners with AWS, Azure, and Google Cloud on sovereign cloud regions • AFX platform enables exascale AI infrastructure with the same ONTAP APIs • DX50 compute nodes provide GPU offload for data transformation without forcing NetApp into the compute business • AI data engine reduces storage bloat by enabling vectorized embeddings without data duplication • NAND flash shortages require strategic optimization rather than magic bullet solutions • NetApp's 30+ year track record provides stability compared to startup alternatives

    28 min
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About

In the Techzine TV podcast we analyze B2B IT solutions, strategies, and trends. IT companies are happy to invite us to talk about what they are working on and what they are going to bring to market. We visit them all around the world, and in some cases, they visit us in our office.  We have a good understanding of how technologies work, or how they should work. We also hear a lot from the market about what companies need or where things go wrong. This gives us the ability to have really in-depth conversations on technology, strategies, and products, but we always try to keep it practical and easy to understand.   We explain innovations, interpret new IT concepts, and use practical examples to make complex technology understandable for everyone. Where necessary, we bring in experts to clarify matters further. The goal is to help IT professionals, decision makers, and other listeners better understand IT developments, but also to help them in their search for new solutions for their business and not get stuck on buzzwords and one-liners. The Techzine TV podcast is an evolution of the previous Techzine Talks on Tour series. We still bring a lot of conversations and interviews from events to this series. We record so many video interviews nowadays, so we can select the best ones for this podcast series. The topics still vary greatly, as Coen and Sander attend a total of 50 to 60 events each year, ranging from open-source events like KubeCon to events hosted by Cisco, IBM, Salesforce and ServiceNow, to name only a few. With a lot of experience in many walks of IT life, Coen and Sander always manage to produce an engaging, in-depth discussion on general trends, but also on technology itself.So follow the Techzine TV podcast and stay in the know. We might just tell you a thing or two you didn't know yet, but which might be very important for your next project or for your organization in general. Stay tuned and follow Techzine TV. 

Information

  • Creator
    Coen or Sander
  • Years Active
    2024 - 2026
  • Episodes
    72
  • Rating
    Clean
  • Copyright
    © 2026 Techzine TV podcast
  • Show Website
    Techzine TV podcast