28 episodes

Each episode of The Fourth Generation Podcast will treat you to an in-depth interview with some of the world's leading IIoT practitioners where we really dive deep into technical and actionable details of building Industrial IoT Solutions.

The Fourth Generation Podcast Kudzai Manditereza - Industry40.tv

    • Technology
    • 5.0 • 2 Ratings

Each episode of The Fourth Generation Podcast will treat you to an in-depth interview with some of the world's leading IIoT practitioners where we really dive deep into technical and actionable details of building Industrial IoT Solutions.

    Ep 28 Predictive Analytics in Manufacturing - Maciek Wasiak, CEO Xpanse AI

    Ep 28 Predictive Analytics in Manufacturing - Maciek Wasiak, CEO Xpanse AI

    I invited Maciek Wasiak for a podcast conversation on Predictive Analytics in Manufacturing and he delivered a masterclass.

    Maciek is the CEO and Founder of Xpanse AI, a company that develops technology that rapidly accelerates Data Science delivery by replacing manual data science with AI-driven processing

    Here's the outline of our conversation:

    ✅ Xpanse AI
    ✅ Introduction to Predictive Analytics
    ✅ Real-World Data Science Use Cases in Manufacturing
    ✅ Semiconductor Fabrication Predictive Analytics Solution Demo
    ✅ Traditional vs Automated Predictive Analytics
    ✅ Predictive Analytics Workflow Based on AI and ML
    ✅ Identifying and qualifying plant-floor data sources for Predictive Analytics
    ✅ Managing plant-floor data variety for Predictive Modelling
    ✅ Predictive Modelling Techniques
    ✅ Meeting plant-floor real-time requirements with ML Processes
    ✅ Role played by domain-level expertise in Predictive Analytics
    ✅ Role Played by Industrial System Integrators in Predictive Analytics implementation
    ✅ Working with AI and ML platforms for non data scientists

    • 54 min
    Ep 27 First Principles : First Principles of Smart Manufacturing - Conrad Levia, CESMII

    Ep 27 First Principles : First Principles of Smart Manufacturing - Conrad Levia, CESMII

    Whenever you're faced with information overload on any subject matter, as is the case with many manufacturers considering Smart Manufacturing, it's important to take a step back and understand its first principles.

    Without which it would be difficult and costly to realise the vision of Smart Manufacturing.

    To help bring the First Principles of Smart Manufacturing to light, I invited Conrad Leiva for a podcast conversation. Conrad is the VP of Ecosystem and Workforce Development at the Clean Energy Smart Manufacturing Innovation Institute, CESMII.

    CESMII is a US Government funded institute with a mission to democratise Smart Manufacturing and make its methodologies and technologies more affordable and accessible to SME manufacturers.

    Here's the outline of our conversation

    ✅ Clean Energy Smart Manufacturing Innovation Institute (CESMII)
    ✅ A Brief History of Smart Manufacturing
    ✅ Smart Manufacturing Definition and Description of Key Terms
    ✅ The Seven Principles of Smart Manufacturing
    ✅ Flat and Real-Time Principle
    ✅ Scalability Principle, Enabled by Cloud and Edge
    ✅ Interoperable and Open Principle, Information Modelling
    ✅ The Role of ISA 95 in Smart Manufacturing
    ✅ Proactive and Semi-Autonomous Principle
    ✅ Sustainable and Energy Efficient

    • 43 min
    Ep 26 : Embedded Vision and Connectivity for IIoT - Taylor Cooper (CEO, Principal Engineer - MistyWest) )

    Ep 26 : Embedded Vision and Connectivity for IIoT - Taylor Cooper (CEO, Principal Engineer - MistyWest) )

    More than anything else, the foundational power of personnel in fieldwork merely lies in the fact that we can see.

    By extension, it makes sense that the biggest impact on industrial digital transformation will come from embedding vision in intelligent connected components.

    More so when embedded vision and AI software are widely deployed in mobile and battery-powered field equipment.

    To learn more about building this capability into industrial products, I invited Taylor Cooper for a chat on the podcast.

    Taylor is the CEO and Principal Engineer at MistyWest where he's recently led the company in developing an Embedded Vision System on Module (MistySOM), based on the Renesas RZ/V2L processor, that enables the embedding of vision-based AI capabilities in field equipment.

    Below is the outline of our conversation.

    ✅ Misty West, Embedded Vision & IIoT
    ✅ Latest Trends in Industrial IoT, and Chip Shortage
    ✅ Google IoT Core Retirement, IoT Boom and Bust
    ✅ MQTT in IIoT and Computer Vision
    ✅ Delivering AI Capabilities for IIoT with Renesas RZ/V2L Based System on Module
    ✅ Potential Applications of Low Power System on Module in Connected Intelligence,
    ✅ Workflow for developing Embedded Vision for Connected Products
    ✅ AI versus Rules-Based Image Processing in Embedded vision
    ✅ Selecting Embedded Vision Middleware
    ✅ Selecting wireless connectivity for Embedded Vision Applications

    • 40 min
    Ep 25 : Containerisation for Industrial IoT - Neil Cresswell (CEO, Co-Founder - Portainer) )

    Ep 25 : Containerisation for Industrial IoT - Neil Cresswell (CEO, Co-Founder - Portainer) )

    Here's the thing. Containerisation is not only an IT technology, it is an advanced IT technology. And yet, it already looms on the horizon for Operations Technology.

    And, while the technology opens up massive opportunities for optimisation and efficiency in the OT network, it demands a fundamental rethink of industrial software distribution and management.

    To find out what this actually means for vendors, engineers, and system integrators in the industrial space, I invited Neil Cresswell for a conversation.

    Neil is the CEO and Co-Founder of a company called Portainer.io, the most popular Docker Container Management platform that abstracts the complexities of container management with a feature-rich and easy-to-use Graphical User Interface.

    Below is the outline of our conversation.

    ✅ What are containers?
    ✅ Benefits of containerisation at the Industrial Edge
    ✅ Challenges of adopting containers for Industrial Edge Compute
    ✅ Key differences between containerisation at the edge and in the cloud
    ✅ Containerization Approaches and Microservices for IIoT
    ✅ What is Portainer and How it Works
    ✅ Use Cases in Industrial IoT
    ✅ Portainer Products
    ✅ Reference Architectures for Managing software in OT
    ✅ Best Practices Containerisation at the Industrial Edge
    ✅ How a Containerised PLC functions
    ✅ Impact of Containerisation on Industrial System Integration
    ✅ The Future of Industrial Software Distribution

    • 43 min
    Ep 24 : Real World Applications of OPC UA PubSub - Praveen Kumar Singh (Chief OPC Solution Architect - Utthunga) )

    Ep 24 : Real World Applications of OPC UA PubSub - Praveen Kumar Singh (Chief OPC Solution Architect - Utthunga) )

    While there may be disagreements on what data modeling, encoding, and transportation technologies to adopt for Industrial IoT, there's one aspect that's evidently being agreed upon across the board.

    The fact that Publish-Subscribe architectures are, by far, more suitable for this new world of hyper-connectivity.

    One implementation of such an architecture for IIoT is OPC UA PubSub, which defines a mapping of Binary and JSON encoding over an MQTT, AMQP, and UDP-based PubSub network.

    To understand how OPC UA PubSub can be applied in Real-World Industrial scenarios, I had a conversation with Praveen Kumar Singh, who is the Chief OPC Solutions Architect at Utthunga, a Product Engineering and Industrial Solutions company that engineers industrial-grade digital products and solutions for industrial OEMs, Industries, ISVs, and Service Providers.

    Below is the outline of our conversation.

    ✅ What is OPC UA PubSub?
    ✅ Real World Applications of OPC UA PubSub
    ✅ Embedded OPC UA PubSub Applications
    ✅ Configuration Mechanism of OPC UA PubSub Components
    ✅ How Discovery works in OPC UA PubSub networks
    ✅ How Information Modelling Works in OPC UA PubSub
    ✅ Consuming OPC UA PubSub using Third Party Applications
    ✅ OPC UA PubSub over TSN explained
    ✅ Use Cases for OPC UA Client-Server combined with PubSub
    ✅ Sensor to Cloud Using OPC UA PubSub
    ✅ Security mechanisms in OPC UA PubSub communication
    ✅ uOPC PubSub Bridge overview
    ✅ About Utthunga

    • 46 min
    Ep 23 : Digital Transformation Through Digital Twins - Dr. PG Madhavan (IoT Digital Twin, Causality, Data Science) )

    Ep 23 : Digital Transformation Through Digital Twins - Dr. PG Madhavan (IoT Digital Twin, Causality, Data Science) )

    Advanced as they may be, modern analytics systems fall short of enabling the complete digital transformation of manufacturing enterprises.

    For example, instead of only detecting symptoms of impending machine failure, what would be more valuable would be to determine the actual cause of failure.

    Causal Machine Learning, a recent advance in ML holds the problem to solve this problem.

    To understand how it can be applied in Digital Twins to enable complete digital transformation for manufacturers, I had a conversation with Dr. PG Madhavan.

    PG has deep expertise in Data Science and extensive experience in advanced analytics development, both in industry and academia.

    Below is the outline of our conversation:

    ✅ Enthusiasm about Digital Twins Today
    ✅ Why Predictive Maintenance is not the Killer App for IIoT
    ✅ What is the central purpose of a Digital Twin?
    ✅ Challenges in Integrating Digital Technologies for DT Realisation
    ✅ Role of Industrial IoT in Digital Twins
    ✅ Machine Learning Methods in Digital Twins
    ✅ Application of Root Cause Analytics Method in DTs
    ✅ Application of Causality in Industrial IoT Data
    ✅ Key Steps to Digital Transformation in Manufacturing
    ✅ Manufacturing Digital Transformation through Digital Twins
    ✅ PyWhy, an open-source repository of AWS & Microsoft joint work in Causality for machine learning.
    ✅ Systems Analytics Solutions

    • 58 min

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