Techzine TV podcast

Coen or Sander
  • 0.0 (0)
  • Technology
  • Updated Semiweekly

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. 3d ago

    Pega wants to make AI performance and cost predictable

    At PegaWorld in Las Vegas, Techzine TV sat down with Don Schuerman, CTO and head of marketing at Pega, for a wide-ranging conversation about the state of enterprise AI. We discuss with him why simply dropping AI tools into existing workflows is not enough, and why enterprises must fundamentally reimagine their processes, teams, and application architectures to capture real value from AI. Predictability is a key concept Schuerman returns to regulary. Predictability of the outcome of AI workflows, but definitely also of the cost. Accuracy is also something that needs to be determined properly when it comes to AI. As Schuerman points out during our conversation, an 85% AI accuracy rate is actually a 15% failure rate for a bank. If you compound agent errors, the failure rate will become exponentially worse. We also dig into the cost of tokens. Schuerman gets into how Pega's deterministic orchestration approach should keep AI spending controllable. It makes it possible to offer outcome-based pricing tied to workflows executed rather than tokens consumed. Schuerman also walks us through the major evolution of Pega Blueprint. That used to be a rather basic ideation tool when it launched in April 2024, but is has been developed into a full design-to-build accelerator. On the new Customer Engagement Studio, he tells us that it brings next best action capabilities to marketing teams who don't have a data science background. The end of the conversation focuses on how to build a clear framework for measuring AI success: better processes, faster delivery, and uncompromised trust. Key takeaways: • Enterprises must reimagine workflows, processes, and team interactions, not just add AI tools • AI accuracy means different things to different people • Pega's strategy separates non-deterministic AI (design/build) from deterministic execution (run) • Pega Blueprint now accelerates both the design phase and the build phase of application development • Applications need to evolve from screen-and-database collections to process, agent, and knowledge collections exposed via MCP • Outcome-based pricing charges per workflow executed, not per token burned • Customer Engagement Studio wants to democratize next best action for non-data-science marketing teams • Infinity 26 supports bring-your-own models, including Mistral for European clients Chapters: 1:13 - Reimagining enterprise workflows and teams for AI 1:35 - The predictability problem: why 85% accuracy isn't enough 2:25 - Predictability of cost and the tokenomics challenge 3:32 - AI across design, build and run: a smarter architecture 4:41 - Pega Blueprint: from ideation tool to full build accelerator 8:53 - Rethinking application architecture: apps as MCP targets 11:41 - Outcome-based pricing: paying per workflow, not per token 15:49 - Customer Engagement Studio: next best action for all 18:31 - Infinity 26: platform flexibility and bring-your-own AI models 20:05 - Measuring success: better, faster, and trustworthy

  2. Jul 20

    Tonic Security wants to fight alert fatigue with context

    David Warshavski, co-founder and Chief Product Officer of Tonic Security, joins Techzine TV to talk about how his company is rethinking exposure management from the ground up. He can draw on decades of incident response experience defending Fortune 500 companies against nation-state threat actors from Russia, China, North Korea, and Iran, and has seen that cybersecurity isn't about finding vulnerabilities, but about prioritizing and fixing the right ones before a breach occurs. This sounds like common sense, but is actually quite rare in the cybersecurity industry. Tonic Security wants to address the problem of alert overload by building a context engine that taps into both IT/security tools and collaboration platforms like Slack, Notion, Confluence, Teams, and ServiceNow. By extracting business operational context from unstructured data, Tonic can determine whether a vulnerability is exploitable. Not only that, it can also determin whether exploiting it would actually impact critical business processes. That last distinction should fundamentally change how security teams spend their time. The platform acts as both an insight layer and an execution engine. It features the Tonic Mobilization Coordinator. This is an agentic workflow that can fully automate remediation in low-risk scenarios, Warshavski tells us. We also discuss how Tonic can replace legacy vulnerability scanners like Tenable, Rapid7, and Qualys, how it feeds context to DIY agentic workflows and SIEM solutions, and why opening up to an ecosystem is the company's next frontier. Key takeaways: • Most security breaches involve vulnerabilities that were already known but not properly prioritized or remediated in time • CVE and CVSS scores alone do not reflect real business impact and create massive, misleading backlogs • Tonic Security ingests unstructured data from collaboration tools to determine true business criticality of assets • The platform differentiates between exploitability, reachability, and actual business blast radius • The Tonic Mobilization Coordinator automates remediation in high-confidence, low-risk scenarios • Security teams report significant time savings, reduced burnout, and freedom to focus on strategic priorities • Tonic can displace legacy scanners and act as a context engine for other security tools via API and MCP server • Fully on-premises deployment is available for heavily regulated industries Chapters: 0:54 - David Warshavski's background in incident response 2:15 - Why Tonic Security was founded 5:32 - The prioritization problem and CVE noise 9:03 - Understanding business impact and context 17:17 - Tonic as a decision and execution engine 20:53 - Reducing alert fatigue and saving security teams time 27:44 - Where Tonic fits in your security stack 33:12 - Flexible deployment and next frontiers

  3. Jul 13

    No backdoors, no excuses: Cisco bets big on sovereign infrastructure

    At Cisco Live in Las Vegas, Techzine TV sat down with Gordon Thomson, president of EMEA at Cisco, for a wide-ranging conversation about the explosive pace of market change, and some of the most significant product and strategic moves Cisco has made in decades. A major focus of the conversation is Cisco's Sovereign Critical Infrastructure (SCI) initiative. Launched in September 2025 with limited scope, SCI has since evolved into a formal legal framework giving customers guarantees around air-gapped operation, no backdoors, and continued product functionality even during embargoes or conflict. Thomson talks about how SCI has expanded to 13 product families, including data center, campus, wireless, collaboration, and Splunk on-prem, and how Cisco plans to allow customers to recertify existing installed-base devices as sovereign toward the end of the year, switching them from subscription-based to perpetual licenses. The interview closes with a deep dive into Cisco Cloud Control, which Thomson, a 29-year Cisco veteran, describes as one of the most fundamental things the company has ever done. By unifying networking, security, and observability into a single AI-assisted platform with agentic automation, Cisco Cloud Control represents the culmination of years of incremental innovation. Currently rolling out in the US before expanding to Europe, it is a cloud-only service, a deliberate trade-off that Thomson acknowledges some customers will need to weigh carefully. Key takeaways: • Why Cisco shifted from cloud-first thinking to Sovereign Critical Infrastructure • How SCI moved from a market signal to a binding legal framework with perpetual licenses • The plan to recertify hundreds of millions of existing Cisco devices as sovereign • The sovereignty debate: emotion, trust, chip-level demands, and the price customers are willing to pay • AI's role in reducing interoperability costs for sovereign cloud deployments • Cisco Cloud Control: unifying networking, security, and observability in one platform • Why Cloud Control is cloud-only, and what that means for sovereign customers Chapters: 1:08 - Navigating a world of generational change 3:06 - Cisco's cultural and organizational transformation 5:01 - Sovereign Critical Infrastructure: from intent to legal framework 8:50 - The sovereignty debate: emotion, trust, and chip-level demands 11:28 - 13 product families and recertifying existing sovereign devices 16:47 - AI, sovereign clouds, and on-prem dashboard trade-offs 20:14 - Cisco Cloud Control: networking and security unified

  4. Jul 3

    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

  5. 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

  6. 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

  7. 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

  8. 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

See All (75)

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
    75
  • Rating
    Clean
  • Copyright
    © 2026 Techzine TV podcast
  • Show Website
    Techzine TV podcast