The IIoT Podcast - Powered by AI

Henry Costa

The IIoT Podcast is an AI-generated series inspired by the insights of Henry Costa. It explores how modern factories connect machines, data, and people to drive smarter, faster manufacturing. Each episode shares real lessons from global Industry 4.0 programs, offering practical perspectives on connectivity, cloud, and data-driven transformation. For deeper insights and articles, visit iiotblog.com.

  1. 19. Mai

    #107 - Industrial DataOps Explained

    Collecting plant data is easy compared to making that data usable and trusted. In this episode, we explore why Industrial DataOps is becoming an important part of modern IIoT and manufacturing strategies. The conversation focuses on the work that happens between raw data and real decisions. Cleaning data, organizing context, managing changes, and making sure different systems stay aligned over time. Not glamorous work, but usually the difference between scalable projects and constant frustration. We also discuss why trusted data matters more now as AI, analytics, and real-time operations continue to grow across industrial environments. A practical look at the operational side of industrial data that many teams underestimate. For a deeper read, visit iiotblog.com.

    #107 - Industrial DataOps Explained

  2. 18. Mai

    #106 - Agentic AI on the Shop Floor

    Agentic AI is suddenly everywhere in industrial conversations. But how much of it is actually real on the shop floor today? In this episode, we take a grounded look at where agentic AI fits inside manufacturing and IIoT environments in 2026. The discussion separates practical use cases from the growing hype and explores what these systems can realistically do when connected to industrial data and operations. We also talk about the challenges that do not get enough attention. Data quality, context, reliability, governance, and the risk of adding complexity without solving real problems. The goal is not to dismiss the technology. It is to look at it honestly and understand where it may truly create value. For a deeper read, visit iiotblog.com.

    #106 - Agentic AI on the Shop Floor

  3. 12. Mai

    #105 - From Advising to Owning

    Giving advice is one thing. Owning the outcome is something else entirely. In this episode, we explore the shift that happens when someone moves from recommending ideas to being directly responsible for execution, delivery, and results. The conversation reflects on the pressure, trade-offs, and small realities that are easy to miss from the outside. Decisions become more personal. Priorities become less theoretical. And sometimes the “right” answer looks very different once accountability enters the picture. This is not only about leadership or job titles. It is about perspective. Especially in complex projects where expectations, timing, and people all collide at once. A thoughtful discussion for anyone who has felt that transition firsthand. For a deeper read, visit iiotblog.com.

    #105 - From Advising to Owning

  4. 7. Mai

    #104 - How SDA Changes IIoT Architecture

    Software-Defined Automation is starting to show up in more industrial conversations, but what does it actually mean for existing IIoT architectures? In this episode, we take a practical look at SDA and why many manufacturers are paying attention to it. The discussion covers how software-defined approaches connect with trends that already exist in IIoT, like edge computing, containerized services, MQTT, and event-driven architectures. We also talk about the part that is usually harder than the technology itself. The organizational mindset. Because in many plants, moving control logic closer to software changes more than just architecture diagrams. This is not about replacing everything overnight. It is about understanding where the industry may be heading next. For a deeper read, visit iiotblog.com.

    #104 - How SDA Changes IIoT Architecture

  5. 29. Apr.

    #103 - Explaining UNS to Leadership

    Some of the hardest parts of IIoT are not technical. They are about communication. In this episode, we look at how to explain things like edge contextualization and a Unified Namespace to leadership in a simple, clear way. The focus is not on deep architecture. It is on making the message land. What matters, why it matters, and how to connect it to business value without overcomplicating it. We also touch on a common challenge. Technical teams often know the answer, but struggle to explain it in a way that drives decisions. If you have ever tried to explain IIoT concepts to non-technical stakeholders, this will feel familiar. For a deeper read, visit iiotblog.com.

    #103 - Explaining UNS to Leadership

  6. 20. Apr.

    #102 - Real-Time Decisions in Mining

    What does real-time decision making actually look like outside a dashboard? In this episode, we look at lessons coming from mining operations, where timing is not just important. It is critical. The conversation focuses on how data is used in the moment. Not hours later. Not after reports. But right when something is happening. We explore what makes that possible, from data flow to system design, and why many environments still struggle to get there. Also, there is a simple idea behind it. When decisions move closer to the operation, outcomes tend to improve. If you are thinking about real-time in IIoT, this gives a more grounded view. For a deeper read, visit iiotblog.com.

    #102 - Real-Time Decisions in Mining

  7. 17. Apr.

    #101 - AI Meets UNS

    What happens when AI connects directly to structured industrial data? In this episode, we explore how a Unified Namespace changes the way LLMs can be used on the shop floor. Instead of searching across disconnected systems, data becomes organized and easier to access in real time. That opens the door to simple but useful use cases. Asking questions about machines. Understanding events as they happen. Supporting operators with quick insights. The focus here is practical. What works today, what still feels early, and where things can go next if the data foundation is in place. If you are curious about AI beyond dashboards, this is a good place to start. For a deeper read, visit iiotblog.com.

    #101 - AI Meets UNS

  8. 16. Apr.

    #100 - Industrial AI Starts with Data

    Industrial AI sounds advanced, but the starting point is often simple. Data. In this episode, we break down why most AI efforts on the plant floor struggle before they even begin. The issue is not the model. It is the data behind it. How it is collected, how it is structured, and whether it can be trusted. We walk through what “good” data actually looks like in an industrial setting, and why context matters just as much as the values themselves. Also, we look at what changes when data is done right. AI becomes less of an experiment and more of a practical tool. If you are exploring Industrial AI, this is a good place to reset expectations. For a deeper read, visit iiotblog.com.

    #100 - Industrial AI Starts with Data
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Info

The IIoT Podcast is an AI-generated series inspired by the insights of Henry Costa. It explores how modern factories connect machines, data, and people to drive smarter, faster manufacturing. Each episode shares real lessons from global Industry 4.0 programs, offering practical perspectives on connectivity, cloud, and data-driven transformation. For deeper insights and articles, visit iiotblog.com.

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