Each episode of Industry40.tv Podcast will treat you to an in-depth interview with leading AI practitioners, exploring the Application of Artificial Intelligence in Manufacturing and offering practical guidance for successful implementation.

The Fourth Generation Podcast
Claim This Podcastby Kudzai Manditereza
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Podcast Overview
Each episode of Industry40.tv Podcast will treat you to an in-depth interview with leading AI practitioners, exploring the Application of Artificial Intelligence in Manufacturing and offering practical guidance for successful implementation.
Language
🇺🇲
Publishing Since
11/19/2020
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Recent Episodes

May 7, 2026
Designing Multi-Agent Systems for Industrial Operations: Kence Anderson - Founder & CEO, AMESA
Kudzai Manditereza interviews Kence Anderson, CEO & Founder of AMESA, about designing multi-agent AI systems for industrial operations using machine teaching to achieve real-world intelligence.

April 30, 2026
Scaling Industrial Intelligence with I3X Common API: Matthew Parris - Director of Advanced Manufacturing, GE Appliances
# AI in Manufacturing Podcast — Show Notes ## Episode: Scaling Industrial Intelligence with the I3X Common API **Podcast Name:** AI in Manufacturing Podcast (Industry40.tv) **Episode Title:** Scaling Industrial Intelligence with the I3X Common API **Guest Name:** Matthew Parris **Guest Title/Role:** Director of Quality Test Systems, GE Appliances; Leading Contributor to the I3X Specification **Host:** Kudzai Manditereza --- ## 1. Episode Summary This episode explores how the Industrial Information Interoperability Exchange (I3X) common API is poised to become the universal interface for accessing manufacturing data across software platforms. Matthew Paris, Director of Quality Test Systems at GE Appliances and a leading contributor to the I3X specification, explains why the manufacturing industry has lacked a standardized way to retrieve information from Level 3 and Level 4 software systems — and how I3X solves this by leveraging simple, proven IT technologies: HTTP and JSON. Paris draws a compelling analogy between I3X and the early web browser revolution, comparing the I3X Explorer tool to Netscape's role in breaking down walled-garden internet portals. The conversation covers how I3X differs from OPC UA and MQTT, why a vanilla MQTT broker is insufficient for a true Unified Namespace, and how standardized interfaces accelerate AI deployment in manufacturing. Listeners will gain a clear understanding of where I3X fits in modern industrial architectures and why now is the time to get involved with the specification while it's in beta. --- ## 2. Key Questions Answered in This Episode - What is I3X and what problem does it solve for manufacturers? - How is I3X different from OPC UA and MQTT? - Why is an MQTT broker alone not sufficient for a Unified Namespace (UNS)? - How does I3X enable manufacturers to scale from data visibility to operational AI? - Where does I3X fit in a modern industrial architecture alongside UNS and MQTT brokers? - Why does I3X support OPC UA Part 5 information models, and how should manufacturers think about data typing? - How will I3X achieve vendor adoption without a chicken-and-egg problem? --- ## 3. Episode Highlights with Timestamps **[0:00]** — **Introduction & Guest Background** — Matthew Paris introduces his role at GE Appliances, where his team functions as an internal OEM, system integrator, and end user simultaneously. **[3:12]** — **The Origin of I3X** — Paris describes the frustration of learning unique REST APIs for every software product and the "data access model" stack that manufacturers must navigate. **[8:55]** — **The Shifting Risk in Manufacturing Software** — Discussion on how the real risk has moved from picking the right vendor to maintaining the ability to adapt as technology evolves. **[10:23]** — **Monoliths Breaking Apart** — Why specialization and the proliferation of vendors demand a stable architectural foundation with standardized interfaces. **[14:37]** — **Claude and AI as Software Developers** — How AI coding assistants make standardized interfaces even more critical — it's easier to tell Claude to build against one standard than 20 proprietary APIs. **[16:21]** — **From Dashboards to AI Intelligence** — Paris explains the journey from visibility (polling/dashboards) to subscription-based intelligence and why AI agents need structured, typed, and related data. **[24:35]** — **What I3X Actually Is** — A concise breakdown: HTTP + JSON + a handful of standard methods (explore, read current value, read historical values, subscribe). The 80/20 rule applied to data access. **[34:49]** — **I3X vs. OPC UA** — Why OPC UA's own cloud reference architecture still just says "HTTP REST," and how I3X fills that gap with a defined, common contract. **[41:50]** — **I3X and the Unified Namespace** — Paris explains why an MQTT broker is "woefully insufficient" for a UNS and how I3X wraps around information sources including brokers like

April 22, 2026
Optimizing AI Inferencing for Agentic Operations in Manufacturing: Calvin Cooper - Co-Founder & Coo, Neurometric AI
Host Kudzai Manditereza interviews Kelvin Cooper, Co-Founder & CEO of Neurometric.ai, about scaling AI in manufacturing through inference orchestration and specialized models.
97 total episodes available with 27 transcripts
Recent guests on The Fourth Generation Podcast
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Walker Reynolds
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Michael Carroll
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Zach Etier
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Willem Klein
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James Zheng
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Craig Scott
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Mickey Shaposhnik
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Gilad Langer
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Bob van de Kuilen
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Jeroen Janssen
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Jeff Knepper
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Bert Baeck
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- What is The Fourth Generation Podcast?
- How often does this podcast release new episodes?
This podcast updates weekly.
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This podcast is available on 8 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
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Yes, this podcast regularly features guests.
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