Shows
Industry40.tvBuilding a Data Foundation for AI-Native Industrial Intelligence: Craig Scott - Founder & CEO , Fuuz1. EPISODE SUMMARY
This episode explores why most manufacturing AI initiatives fail and what companies must do to build a foundation for AI-native industrial intelligence. Craig Scott, Founder and CEO of Fuuz, an industrial intelligence platform, shares insights from nearly a decade of bridging the gap between shop floor data and enterprise systems. The conversation reveals why the missing "shim" between operational technology and enterprise systems is the root cause of unreliable data in manufacturing, and why model-driven approaches are essential for scaling AI across industrial operations. Craig explains how organizations can achieve a single source of truth by implementing...
2026-02-0356 minIndustry40.tvDriving Operational Excellence in Manufacturing with Practical AI: Mickey Shaposhnik - Founder & CEO , Next PlusTraditional MES platforms were built for a manufacturing world that no longer exists.
They assume stable product lines.
They assume you have time for lengthy implementations, tolerance for complexity, and operators who can navigate digital forms while running production.
But here's the challenge. Today's manufacturing reality is different:
⇨ Markets demand the flexibility to shift from 1.5-liter bottles to 1-liter bottles overnight
⇨ Low volume, high mix production is now the norm
⇨ Tribal knowledge is retiring faster than it's being captured
⇨ Workers stay 2-3 years, not 20, m...
2026-01-2244 minIndustry40.tvAgentic AI Framework for Manufacturing Operations: Gilad Langer - Head of Digital Manufacturing Practice, Tulip InterfacesAgentic AI Framework for Manufacturing Operations
AI in Manufacturing Podcast Show Notes
Episode Guest: Gilad Langer, Head of Digital Transformation Practice at Tulip Interfaces
Host: Kudzai Manditereza
Publication Date: [Insert Date]
Episode Summary
Manufacturing systems are complex adaptive systems that require a fundamentally different approach to AI implementation than traditional monolithic architectures. In this episode, Gilad Langer draws on 30 years of manufacturing experience—including PhD research that laid the groundwork for Industry 4.0—to introduce a composable agentic framework specifically designed for frontline operations. He explains why adaptability has become a competitive necessity in today's disrupted mark...
2025-10-221h 01Industry40.tvBuilding a Knowledge Graph Context Layer for Industrial A: Bob van de Kuilen - Director, ThredContext isn't static.
It's a living layer of knowledge built through problem-solving, conversation, and understanding the complex relationships on the factory floor.
This simple truth is often overlooked in industrial data strategies.
We’ve been conditioned to believe that context can be predefined; baked into standards, taxonomies, and hierarchies.
But in real-world manufacturing, things change, people think differently, and use cases evolve.
So how can we build this dynamic layer of understanding for industrial AI?
In our la...
2025-09-1754 minIndustry40.tvStandardizing Industrial Data Architecture with ISA-95: Jeroen Janssen - MES/MOM Consultant, RhizeSA-95 is a standard that’s often misunderstood, but incredibly powerful.
While many think ISA-95 is rigid or overly complex, it actually enables flexibility by:
⇨ 𝐃𝐞𝐟𝐢𝐧𝐢𝐧𝐠 𝐚 𝐬𝐡𝐚𝐫𝐞𝐝 𝐯𝐨𝐜𝐚𝐛𝐮𝐥𝐚𝐫𝐲 for manufacturing concepts, creating a true ontology for your data.
⇨ 𝐂𝐫𝐞𝐚𝐭𝐢𝐧𝐠 𝐬𝐜𝐚𝐥𝐚𝐛𝐥𝐞 𝐩𝐥𝐚𝐜𝐞𝐡𝐨𝐥𝐝𝐞𝐫𝐬 for every type of data, so you can start small and add new use cases later without rebuilding everything.
⇨ 𝐏𝐫𝐨𝐯𝐢𝐝𝐢𝐧𝐠 𝐭𝐡𝐞 "𝐰𝐡𝐲" 𝐛𝐞𝐡𝐢𝐧𝐝 𝐞𝐯𝐞𝐧𝐭𝐬, not just the "what," giving crucial context to your analytics and AI models.
But how do you move from theory to a practical, modern implementation?
In our latest AI in Manufacturing podcast episode, we explore exactly that with ISA-95 expert Jeroen Janssen, who is an MES/MOM Consultant at Rhize Manufacturing Data Hub.
In the episode, you’ll learn:
✅ How to overcome a data culture that creates so many silos.
✅ The "use case st
2025-09-1054 minIndustry40.tvInformation Management and AI in Modern Manufacturing: Jeff Knepper - President, Flow SoftwareIs the Timebase free historian getting an AI-Native DataOps component with Knowledge Graphs capability? You’ll hear it here first.
In the latest episode of the AI in Manufacturing podcast, I sit down with Jeff Knepper, President at Flow Software Inc., to discuss the intersection of Information Management and AI in modern manufacturing, plus the exciting announcement of Timebase Atlas launch.
Here’s some of what we cover in this episode:
✅ Why manufacturers struggle to make use of their data
✅ Building reliable pipelines for AI-driven use cases
✅ AI...
2025-09-031h 05
The IT/OT Insider Podcast - Pioneers & PathfindersMQTT vs OPC UA with Kudzai ManditerezaWhen we talk about industrial connectivity, two names always come up: OPC UA and MQTT. They’re often mentioned in the same breath, as if they’re competitors. But as Kudzai Manditereza reminded us in our conversation, that’s a bit of a misconception. These protocols solve different problems, and understanding their history helps explain why they’re both so important today.OPC UA: From Printer Drivers to Industrial StandardsThe story of OPC goes back to the 1990s. At the time, every automation vendor shipped their own drivers, making integration a nightmare. The OPC Foundati...
2025-09-0235 minIndustry40.tvTime-Series Data Quality and Reliability for Manufacturing AI: Bert Baeck - Co-Founder and CEO, Timeseer.AIMost data-quality initiatives focus on things like freshness or schema. That works for IT data, but not for sensor data.
Sensor data is different. It reflects physics. To trust it, you need contextual, physics-aware checks.
That means spotting:
→ Impossible jumps
→ Flatlines (long quiet periods)
→ Oscillations
→ Broken causal patterns (e.g., valve opens → flow should increase)
It’s no surprise that poor data quality is one of the biggest reasons manufacturers struggle to scale AI initiatives.
This isn’t just data science, it’s operations science.
Think of dat...
2025-08-2752 minIndustry40.tvBuilding Effective Data and AI Innovation Teams in Manufacturing: Van Tucker - VP of Harbor Lockers By Luxer One.What really makes data and AI innovation teams succeed in manufacturing?
In this episode of the AI in Manufacturing Podcast, I speak with Van Tucker, VP of Harbor Lockers by Luxer One, a company that develops and manufactures smart public lockers.
We discuss the challenges and strategies for building effective innovation teams in manufacturing.
Here are some of the insights that Van shared:
𝐂𝐮𝐥𝐭𝐮𝐫𝐞 𝐢𝐬 𝐭𝐡𝐞 𝐟𝐨𝐮𝐧𝐝𝐚𝐭𝐢𝐨𝐧
Innovation thrives when people, from the boardroom to the factory floor, believe in the mission. Core values must be lived daily, not just written on posters.
𝐀𝐠𝐢𝐥𝐢𝐭𝐲 𝐨𝐯𝐞𝐫 𝐩𝐞𝐫𝐟𝐞𝐜𝐭𝐢𝐨𝐧
Instead of waiting months for a pol...
2025-08-2037 minIndustry40.tvReinforcement Learning Agents for Industrial Plant Optimization: Kyrill Schmid - Lead AI Engineer at MaibornWolff GmbHMost industrial processes still run on the same foundation:
- Hard-coded logic in PLCs that follows predefined rules.
- The intuition of process and plant engineers, built from years of experience.
This combination has powered industry for decades, but it has limits.
When the challenge involves many interacting variables, unknown relationships, and non-linear effects, traditional control starts to strain.
Why?
Because fixed rules can’t adapt fast enough to changing conditions, and even the best human intuition can only process so much complexity at once.
Instead of...
2025-08-1344 minIndustry40.tvAutonomous AI Agents for Industrial Process Optimization: Bryan DeBois - Director of Industrial AI at RoviSysCan AI agents really make decisions in high-stakes industrial environments?
Generative AI agents, on their own, do not have a robust understanding of cause-and-effect for real-world decision-making.
However, when combined with Deep Reinforcement Learning, AI agents gain the ability to reason, learn from interaction, and make decisions that solve operational problems in complex, real-world environments, like the plant floor.
Case in point.
Bryan DeBois and his team at RoviSys developed an Autonomous AI agent to manage a notoriously difficult glass bottle production process, where small disruptions like temperature fluctuations can quickly...
2025-08-0659 minIndustry40.tvThe Seven Core Capabilities of an Industrial Data Platform: David Ariens - Founder, The IT/OT Insider.The industrial data stack was never built for enterprise-wide intelligence. It was built in silos, optimized for local decisions.
As a result, it is not designed to support unified, contextualized, and scalable data management across an organization.
And that’s why Industrial Data Platforms are essential for scaling digital transformation.
To help organizations understand what makes such a platform effective, David Ariens and The IT/OT Insider team created the Industrial Data Platform Capability Map, outlining the seven key capabilities every platform should have:
1. 𝐂𝐨𝐧𝐧𝐞𝐜𝐭𝐢𝐯𝐢𝐭𝐲 – a secure and scalable connectivity layer to integrate different data sources into the...
2025-07-3059 minIndustry40.tvEdge AI in the Digitalization of Industrial Process: Rainer Maidel - Business Development Manger, BE.ServicesInstead of sending data to the cloud for processing, Edge AI analyzes data right where it’s generated, on the machine, in the plant, in real time.
It’s the difference between reacting later and responding now.
What Happens When You Keep Intelligence at the Source?
𝐑𝐞𝐚𝐥-𝐭𝐢𝐦𝐞 𝐃𝐞𝐜𝐢𝐬𝐢𝐨𝐧𝐬
A conveyor motor vibrates abnormally.
Edge AI detects the anomaly instantly and slows the line before damage occurs.
𝐒𝐦𝐚𝐫𝐭𝐞𝐫 𝐌𝐚𝐢𝐧𝐭𝐞𝐧𝐚𝐧𝐜𝐞
Time-series models forecast when a press will wear out, so teams fix it during scheduled downtime, not after it fails.
𝐐𝐮𝐚𝐥𝐢𝐭𝐲 𝐂𝐨𝐧𝐭𝐫𝐨𝐥 𝐚𝐭 𝐭𝐡𝐞 𝐄𝐝𝐠𝐞
Cameras inspect every product.
Edge AI flags visual defects without ever uploading a frame to the cloud.
In the latest episode of the AI in Manufacturing podcas...
2025-07-2349 minIndustry40.tvSuperintelligence for Oil, Gas and Petrochemicals: Callum Adamson - Co-Founder and CEO, OrbitalThe first foundation model purpose-built for refining and petrochemicals?
Here's the thing.
The oil, gas, and petrochemical industry is under pressure like never before.
⇨ Demand is set to double in 15 years
⇨ Facilities are shutting down
⇨ Energy transition is colliding with operational cost realities
At the same time, companies are being told AI will solve it all.
But here’s the truth.
Most AI was built for the internet, not industrial plants.
❌ It can’t explain its decisions
❌ It hallucinates
❌ It’s fragile with messy, real-w...
2025-07-1654 minIndustry40.tvCDOT AI Code - A New Language for Parts: Serra Tuzcuoglu CEO and Co Founder, Cosmodot - CDOT AI CodePart traceability in manufacturing has long relied on traditional barcodes that fail where it matters most: under heat, blasting, and coating, e.t.c.
As a result, manufacturers normally place barcodes after key part transformations.
That means, for 70%+ of the production process, you're flying blind. You're guessing which parts went through which treatments.
And when something fails? You're looking at massive recalls, supplier penalties, and lost time.
What if we could code physical parts in a way that never fades?
Tha...
2025-07-0949 minIndustry40.tvBuilding and Scaling AI-Driven Transformation in Manufacturing: Jonathan Alexander - Global Manufacturing AI and Advanced Analytics Manager, Albemarle CorporationLearn how Jonathan and his team at Albemarle Corp went from pilots to $150M in annual improvements through a business-first, scalable AI strategy.
In the latest episode of the AI in Manufacturing podcast, I spoke with Jonathan Alexander, Global Manufacturing AI and Advanced Analytics Manager at Albemarle Corporation, about building, scaling and sustaining AI-driven Transformation in Manufacturing.
Here’s the outline of our conversation:
⇨ Key Data Challenges in Implementing AI at Scale
⇨ Data Contextualization for Analytics and Decision Making
⇨ Data Architecture & Interoperability
⇨ Standardization & Scaling of AI Applications
⇨ Driving Sustained Action from AI Insi...
2025-07-021h 01Industry40.tvAI Agents for Industrial Sales and Application Engineers: Fay Goldstein - Co-Founder and CEO, FolioIndustrial teams still rely on fragmented and manual processes to match complex product specs with use-case-specific needs.
Take this example:
You're selling a vision sensor to a factory. To get it right, you need to know:
⇨ What’s the size and speed of the conveyor line?
⇨ Is the plant located in Munich or Arizona?
⇨ Will this sensor withstand that temperature range?
⇨ What PLC is the customer using — Siemens or Rockwell?
⇨ Will the sensor integrate without conflict?
⇨ Are there newer models in the portfolio that fit better?
⇨ Can it be installed wi...
2025-06-1845 minIndustry40.tvBuilding and Scaling Closed-Loop AI for Manufacturing Operations: Dr. Nikita Golovko - Software Architect for Industrial AI, SiemensIn theory, AI should learn, adapt, and improve continuously. But in reality, most deployments are static and disconnected from the evolving complexity of shop floor operations.
Most businesses lack tools to close the loop between:
⇨ Data collection
⇨ AI training
⇨ Deployment
⇨ Continuous retraining
⇨ Business impact validation
And they struggle to connect domain experts with data scientists.
To learn more about building and scaling closed-loop AI for industrial operations I recently sat down with Dr. Nikita Golovko who is a Software Architect for Industrial AI at Siemens.
2025-06-1150 minIndustry40.tvEdge AI Architecture For Integrating Industrial AI Into Control Systems: Ander Garcia Gangoiti - Director of Data Intelligence, VicomtechMany small and mid-sized manufacturers want to explore AI to improve efficiency, reduce waste, or make their processes smarter.
However, this process requires OT and IT knowledge not present in many
industrial companies, mainly SMEs.
Ander Garcia Gangoiti and his team built a micro-service edge architecture based on MQTT, TimescaleDB, Node-Red and Grafana stack to ease the integration of soft AI models into industrial system.
The architecture has been successfully validated controlling the vacuum
generation process of an industrial machine.
So...
2025-06-0456 minIndustry40.tvSoftware Defined Control , Unified Namespace and AI-Optimization in Process Industries : Huize (Mercy) Zhang, VP - SUPCON, Founder - FreezoneXImagine a control system that learns, optimizes in real-time, and integrates seamlessly with both field assets and cloud-native AI platforms.
This is the next chapter of industrial process automation.
Already implemented at the largest Oil refinery in the world, Software-defined control systems break the traditional link between hardware and logic.
This separation allows for dynamic control, centralized intelligence, and flexible deployment across complex industrial environments.
When integrated with time-series foundation models, these systems harness AI for intelligent loop control, advanced process optimization, and even reinforcement learning, driving unprecedented levels of performance i...
2025-05-1449 minIndustry40.tvAI Agents for Advanced Time Series Data Analytics : Jeff Tao - CEO and Founder, TDengineIn manufacturing, time-series data is everywhere, but most plants are still relying on static dashboards, lagging insights, and manual root-cause analysis.
The result?
- Downtime that’s explained, not prevented
- Insights that arrive, after the line slows down
- Human effort wasted on repeat investigations
AI agents transform the way manufacturers harness time-series data.
They process live sensor feeds while simultaneously referencing historical records, enabling instant anomaly detection and context-aware decisions.
They can correlate vast time-series data with external factors to uncover insights missed by rigid statistical mo...
2025-05-0745 minIndustry40.tvPowering Industrial AI and Digital Twin Use Cases with Knowledge Graphs : João Dias-Ferreira - Head of AI, Knowledge Graphs and IoT, SCANIALearn how Joao and and team are using Knowledge Graphs and IIoT to power Industrial AI and Digital Twin use cases at Scania.
Here’s the outline of our conversation:
Core Challenges in Managing Industrial Data for Data‑Driven Manufacturing
The Role of Ontologies and Knowledge Graphs in Advancing Industrial Data Interoperability and Analytics
IIoT Data Integration and Standardization Approaches
Semantic‑Modeling Best Practices for Scaling Value Creation
Using Knowledge Graphs as Infrastructure for Digital Twins and Industrial AI
Industrial AI Use Cases Powered by Knowledge Graphs
The Real Business Value of Digital Twins in Manuf...
2025-04-3056 minIndustry40.tvReal-Time Quality Control Using AI-Powered Visual Inspection : Priyansha Bagaria, PhD -Founder and CEO, Loopr AIAs manufacturing demands increase, integrating AI-powered visual systems into quality inspection processes becomes increasingly beneficial.
While traditional inspection methods have been the cornerstone of quality control in manufacturing, they come with limitations such as subjectivity, fatigue, and scalability challenges.
AI-powered visual inspection systems address these issues.
Leveraging advanced algorithms and machine‑learning models, they analyze images with high accuracy, identifying defects that may be invisible to the human eye.
This not only enhances the reliability of quality assessments but also increases operational efficiency, allowing manufacturers to streamline their processes and reduce cos...
2025-04-2345 minIndustry40.tvVector Databases and Data Structure for Industrial AI Agents : Humza Akhtar, PhD - Senior Industry Principal - Manufacturing and Automotive, MongoDBModern manufacturing environments generate a staggering amount of data from machines, processes, quality checks, logistics, and inventory. And yet, most of it goes unseen, unused, and unanalyzed.
Why?
Because the data is too vast, too fast, and too fragmented for any human to handle in real-time.
Even the best engineers can’t monitor thousands of variables 24/7.
And failing to harness this data has real consequences. Critical warning signs of equipment problems or process inefficiencies can be missed, leading to unplanned downtime and quality issues.
The biggest challenge AI Agents so...
2025-04-0955 minIndustry40.tvIndustrial Machine Downtime Reduction Using Generative AI : Jose Dos Santos - Co-founder & CEO, Industrial AIEvery minute a machine is offline costs money. That’s why Mean Time to Repair (MTTR) is one of the most vital metrics in manufacturing.
It tells you how fast your team can identify an issue, find the solution, and get the line moving again.
Unfortunately, in many facilities, this process is slow and cumbersome: when a technician sees an error code, they often have to sift through hundreds of pages of documentation while the clock is ticking.
A long MTTR doesn’t just mean downtime; it means:
- Lost production
- Mi...
2025-04-0251 minIndustry40.tvIndustrial Intelligence Solutions with Causal AI : Daniele Gamba - CEO, AISent SrlFor decades, manufacturers have relied on traditional analytics—correlations, trendlines, dashboards—to make operational decisions. But there's a limit:
Correlation ≠ Causation
Just because two variables move together doesn’t mean one causes the other.
This blind spot can lead to poor decisions and surface-level fixes that don’t solve the real issue.
For example, a machine’s temperature spikes often coincide with defects. Traditional analytics might alert you when it happens—but not why. Is it the temperature? A faulty sensor? Operator error?
Causal Inference flips the script. Instead of just observi...
2025-03-2657 minIndustry40.tvFinding Opportunities for AI Application in Manufacturing : Patrick Byrne - Co-founder & CEO, Annora AIManufacturing leaders are familiar with physical waste; scrap, rework, and inefficiencies in production.
But digital waste is the hidden inefficiency that’s just as costly. It includes:
𝐔𝐧𝐮𝐬𝐞𝐝 𝐃𝐚𝐭𝐚: Factories generate massive amounts of data, but much of it is never analyzed or leveraged for decision-making.
𝐈𝐧𝐞𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐭 𝐃𝐚𝐭𝐚 𝐇𝐚𝐧𝐝𝐥𝐢𝐧𝐠: Engineers waste time manually entering, cleaning, or searching for information that should be automated.
𝐒𝐢𝐥𝐨𝐞𝐝 𝐈𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧: Key insights are trapped in different departments or legacy systems, preventing AI-driven optimization.
Digital waste silently drains resources, increasing operational costs while blocking AI from delivering its full potential.
Once manufacturers recognize digital waste, the next step is identifying where AI can generate the biggest returns.
To learn more about finding
2025-03-1948 minIndustry40.tvMaximize OEE & Production Line Safety with Video AI Agents : Karim Saleh - Co-founder & CEO, CerrionManufacturers are constantly battling two critical challenges:
Inefficiencies in Equipment Usage: Downtime, slow cycle times, and unidentified bottlenecks reduce Overall Equipment Effectiveness (OEE), leading to wasted resources and missed production targets.
Safety Risks: Ensuring worker safety while maintaining productivity is difficult, especially in environments with heavy machinery and fast-moving processes.
Despite best efforts, traditional methods struggle to keep up with the complexity and speed of modern manufacturing.
By using computer vision and deep learning, Video AI Agents bring continuous, detection and response of issues—far beyond what traditional methods alone can ac...
2025-02-2634 minIndustry40.tvConnectivity for Enabling AI In Manufacturing Use Cases : Prof Dr Bernd Hafenrichter - CTO of soffico GmbH,AI’s success in manufacturing depends on the ability to seamlessly integrate data from machines and systems across the factory floor and supply chain.
Without strong connectivity, AI remains underutilized, limited by data silos, and inconsistent integration.
Connectivity isn’t just about linking devices; it’s about creating a unified data environment where AI can operate at its full potential—powering everything from predictive maintenance to automated quality control and beyond.
To learn more about IT/OT connectivity for enabling AI use cases in manufacturing I had a conversation with Bernd Hafenrichter who is the C...
2025-02-1951 minIndustry40.tvIndustrial AI Co-Pilot for Frontline Operations: Mason Glidden - Chief Product Officer, TulipFrontline workers are the backbone of manufacturing, but they’re often held back by manual data entry, process inefficiencies, and knowledge gaps.
AI-powered Industrial Copilots offer a solution that elevates their capabilities:
𝐍𝐨 𝐌𝐨𝐫𝐞 𝐌𝐚𝐧𝐮𝐚𝐥 𝐃𝐚𝐭𝐚 𝐄𝐧𝐭𝐫𝐲
AI Copilots automate data capture and seamlessly integrate with existing systems—eliminating wasted time and inaccuracies.
𝐒𝐦𝐚𝐫𝐭𝐞𝐫, 𝐅𝐚𝐬𝐭𝐞𝐫 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬
AI surfaces real-time insights, helping teams reduce downtime, optimize production, and make data-driven decisions on the fly.
𝐂𝐥𝐨𝐬𝐢𝐧𝐠 𝐭𝐡𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 𝐆𝐚𝐩
AI-driven step-by-step guides provide instant troubleshooting and best practices, ensuring even new employees perform like seasoned experts.
𝐒𝐜𝐚𝐥𝐢𝐧𝐠 𝐎𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐬
As operations grow, AI Copilots adapt to new processes, machinery, and industries, ensuring a future-proofed approach to efficiency and innovation.
To learn more about the application of AI Copilots for enhancing Frontline Operations in Manufacturing, I had a c
2025-02-1231 minIndustry40.tvData-Driven Manufacturing Optimization with AI: Zhitao Gao - CEO and Co-Founder of eXlens.aiMany factories today grapple with recurring production issues and inefficiencies; whether it’s inconsistent quality, unpredictable downtime, or process bottlenecks.
The cost of inefficiencies keeps mounting, and while human intuition and manual checks have been valuable tools, they’re no longer enough to drive significant breakthroughs.
AI offers an opportunity to uncover hidden patterns that human teams might miss. For instance:
- By analyzing machine sensor data, AI can trace yield drops to subtle temperature fluctuations.
- AI can identify bad material batches from suppliers or reveal operational bottlenecks.
- Instead of v...
2025-01-2258 minIndustry40.tvUsing AI and Digital Twins to Enhance Manufacturing Workflow Efficiency: Andrew Scheuermann - CEO and Co-Founder , Arch SystemsWhile the promise of AI is immense, many manufacturers find themselves stuck in pilot projects, unable to unlock its full potential.
The key lies in addressing foundational challenges and adopting a clear, phased strategy to transform operations.
Fundamentally, AI offers manufacturers a pathway to achieving operational excellence by moving through the four stages of analytics maturity:
1️⃣ Descriptive Analytics – Understanding what happened.
2️⃣ Diagnostic Analytics – Pinpointing root causes.
3️⃣ Predictive Analytics – Forecasting potential equipment failures or quality issues.
4️⃣ Prescriptive Analytics – Recommending the best actions to address challenges.
Despite its promise, ma...
2025-01-151h 00Industry40.tvAI Copilots for Manufacturing Assembly Optimization: Zeeshan Zia - Co-Founder & CEO, RetrocausalIn our latest episode of the AI in Manufacturing Podcast, I sat down with Zeeshan Zia, co-founder and CEO of Retrocausal, to dive deep into how AI co-pilots are transforming the manufacturing sector. Here are three key takeaways:
1️⃣ Labor Challenges Meet Smart Solutions
Manufacturers face critical labor shortages, resulting in significant costs. Zeeshan shared how AI-powered Assembly Co-Pilots are slashing error rates and scrap costs by up to 90% while empowering workers with real-time guidance.
2️⃣ Merging Lean Principles with AI
Traditional lean manufacturing focuses on quality, productivity, and safety. RetroCausal’s tools like Kaizen Co-Pilot and Ergo C...
2024-12-111h 03Industry40.tvReal-Time Industrial Process Optimization and Control with AI: Aldo Ferrante- Co-Founder & CEO, Sorbotics LLC
2024-12-0456 minIndustry40.tvAI Assistants for Advanced Manufacturing Data Analytics: Stefan Suwelack- Co-Founder & CEO, RenumicsToday's manufacturing industry faces significant challenges in managing its data environment.
Vast amounts of unorganized data collected from various sources often become "data swamps," making it difficult to extract meaningful insights and generate value.
This overwhelming complexity hinders decision-making and slows down innovation.
Additionally, the analytics tools currently available are often too complex and static for domain experts to use effectively, leaving them without the critical insights needed to improve processes, optimize production, and make informed decisions.
AI assistants offer a promising solution by bridging the gap between complex data sets...
2024-11-2759 minIndustry40.tvTransforming Manufacturing Operations with AI on Snowflake: Pugal Janakiraman - Global Manufacturing CTO, Snowflake
2024-11-2046 minIndustry40.tvPractical Applications of AI in Manufacturing: Markus Guerster - Founder and CEO, MontblancAIIn this episode, we explore how artificial intelligence is transforming manufacturing from the ground up. We dive into cutting-edge applications and discuss the benefits and challenges AI introduces to the industry.
Here’s a sneak peek at what we cover:
1. Predictive Maintenance for Machinery
AI helps manufacturers predict equipment failures before they happen, reducing downtime and saving costs. With predictive maintenance, companies can transition from reactive to proactive maintenance, leading to longer machine life and fewer unexpected breakdowns.
2. Quality Control and Defect Detection
AI-powered visual inspections now identify defects faster and more ac...
2024-11-1358 minIndustry40.tvGenerative AI Use Cases in Engineering and Manufacturing: Vlad Larichev - Generative AI Lead, Accenture Industry XWhile large language models hold immense potential, there's a significant gap between what these tools offer out of the box and what the manufacturing industry needs.
Manufacturing presents unique challenges that generic AI solutions often can't effectively address.
However, by customizing Generative AI systems to meet industry-specific requirements, this gap can be effectively bridged:
- Tailoring AI to understand specialized language and scenarios enhances its relevance and effectiveness.
- Integrating additional data sources, such as knowledge graphs, enriches the AI's understanding of relationships and processes unique to manufacturing.
- Imp...
2024-11-061h 07Industry40.tvScaling Industrial AI Across Factories with Federated Learning: Michael Kuehne-Schlinkert - CEO, KatuluIn this episode, I sat down with Michael Kuehne-Schlinkert, CEO of Katulu to discuss how Federated Machine Learning is transforming industrial AI.
Here are some key takeaways:
Federated Learning Enables Cross-Factory Collaboration
Federated learning allows multiple factories to improve AI models without sharing sensitive data. By exchanging learnings, factories can build more robust models while maintaining data privacy and compliance.
Collaboration on Model Training Without Compromising Privacy
One of the biggest challenges in industrial AI is accessing the right data without compromising privacy. Federated learning addresses this by keeping sensitive data local, allowing...
2024-10-301h 03Industry40.tvAutomating Material Handling with AI-Powered Robots: Arshan Poursohi - CEO, Third Wave AutomationIn the latest episode of the AI in Manufacturing podcast on Industry 4.0 TV, host Kudzai Manditereza sits down with Ashan Posohi, CEO and co-founder of Third Wave Automation, to explore how AI-powered robots are transforming material handling. The focus is on autonomous forklifts and their impact on productivity, safety, and the future of manufacturing.
Arshan Poursohi brings a rich background in robotics and research, having worked with Sun Microsystems, Google Research, and Toyota Research. His experiences exposed him to global labor challenges, such as aging workforces and a shortage of young people entering physically demanding jobs. Recognizing...
2024-10-2330 minIndustry40.tvTransforming Manufacturing Data Into Actions with Agentic AI - Yousef Mohassab, CEO of Facilis.AIIn this episode, I sat down with Yousef Mohassab, CEO of Facilis.ai, to explore how Agentic AI is transforming the manufacturing industry. If you're looking for practical insights on scaling AI and boosting operational efficiency, this is the episode you can't miss!
Here are the key takeaways:
The Shift from Centralized to Agentic AI Manufacturers can no longer afford to rely on centralized data science teams that create bottlenecks. Agentic AI empowers subject matter experts (SMEs) to directly access and analyze data, significantly cutting down response times from weeks to minutes.
A...
2024-10-161h 04Industry40.tvModernizing Your Industrial Data Architecture for AI Readiness: Jonathan Wise - Chief Technology Architect, CESMIIIn this episode, I had the pleasure of interviewing Jonathan Wise, Chief Technology Architect at CESMII (Smart Manufacturing Institute).
We discussed how you can modernize your industrial data architecture to harness the full potential of AI, enhancing both production efficiency and innovation.
Jonathan highlighted three key pillars essential for AI readiness:
Data Accessibility - You can’t train AI without accessible data. Jonathan explains why ensuring your data flows seamlessly across systems is the first critical step.
Data Contextualization - Simply having data isn’t enough. Meaningful, contextualized data is crucial for an...
2024-10-091h 06Industry40.tvAI Powered Smart-Guidance for Smart Manufacturing: Nikunj Mehta - Founder & CEO, FalkonryIn this episode, we dive deep into the world of smart manufacturing with industry expert Nikunj Mehta from Falkonry. If you're curious about how data is transforming industrial operations and the future of maintenance and reliability, this episode is for you!
Here are some key takeaways:
82% of Failures Are Random
Nikunj explains that a staggering 82% of failures in industrial systems appear random. Without understanding their causes, manufacturers struggle to prevent them. This is where smart, data-driven actions come into play to improve decision-making and reduce failures.
Condition-Based Actions: A Game Changer
In...
2024-10-0255 minIndustry40.tvVisual Intelligence Applications in Manufacturing: Cyrus Shaoul - CEO, Leela AI
In our latest podcast episode, I had the pleasure of speaking with Cyrus Shaoul, CEO of Leela AI, about visual intelligence and its transformative impact on manufacturing operations.
Here are some Key Takeaways:
1️⃣ Beyond Traditional Machine Vision
Unlike traditional machine vision systems that focus on product inspection, visual intelligence looks at the entire manufacturing process. It helps identify value-adding activities in real-time, ensuring operational excellence is met consistently.
2️⃣ Uncover Hidden Performance Insights
By integrating visual intelligence, companies can detect bottlenecks and wasted time d...
2024-09-2556 minIndustry40.tvBuilding Intelligent Digital Twins with Generative AI : Pieter Van Schalkwyk - CEO, XMPRO
In my latest AI in Manufacturing podcast episode, I had the pleasure of interviewing Peter, CEO of XMPRO where we discussed How to Build Intelligent Digital Twins with Generative AI.
Here are five key takeaways:
1. Digital Twins Are Evolving: What was once just a static data model has now become anticipatory. Digital twins are now being embedded with AI, moving from being reactive (responding to issues) to proactive (predicting issues before they occur).
2. Generative AI is Revolutionizing Business Processes: Generative AI models are not just helping manufacturers with personal productivity tasks like drafting emails—they’re driv...
2024-09-181h 00
Unplugged: An IIoT Podcast4 - Exploring MQTT in Industrial Automation with Kudzai ManditerezaJoin hosts Phil Seboa and Ed Fuentes as they sit down with Kudzai Manditereza, a Senior Industry Solutions Advocate at HiveMQ, to dive into the intricacies of MQTT in industrial automation. Kudzai brings a wealth of experience as a system integrator and founder of Industry 4.0 TV, sharing his practical insights and challenges in implementing MQTT and transitioning into a data-driven organization. Discover the evolution of Sparkplug, the concept of a unified namespace, and how MQTT can revolutionize data integration without altering existing infrastructure. Ideal for engineers, tech enthusiasts, and professionals interested in IIoT and Industry 4.0.
2024-08-1352 min
Rhize UpRhize Up w/David Schultz: Defining the UNS (feat. Jeremy Theocharis, Kudzai Manditereza, Aron Semle)
2024-07-151h 01
Disrupted FactoryNavigating the Digital Transformation of ManufacturingThis episode is dedicated to plant managers who stand at the forefront in navigating their manufacturing plants through the transformative waves of the Fourth Industrial Revolution (4IR). As industries worldwide pivot towards smarter, more connected, and highly efficient manufacturing practices, understanding the synergy between Information Technology (IT) and Operational Technology (OT) has never been more crucial. ABOUT OUR GUESTEmbarking on the journey of digital transformation in manufacturing is a formidable challenge, and Kudzai Manditereza is a seasoned guide through its intricacies. With nearly a decade of dedicated exploration in data i...
2024-02-142h 00Industry40.tvEp 43 Infrastructure as Code for Industrial IoT - [ Peter Sorowka, CEO Cybus GmbH]Peter Sorowka is a recognized expert in Industrial IoT and the technical architecture of data-driven industrial production. In 2015, he founded Cybus - a software company specializing in secure and governance-strong IIoT Edge and Smart Factory solutions.
As CEO of Cybus, he has been advising and guiding global enterprises towards decentralized, secure Smart Factory and data-driven Smart Services across various industries such as automotive and battery manufacturing, machinery and tool builders or metal processing.
Outline
Introduction to Infrastructure as Code for Industrial Digitalisation
IaC workflow for streamlining the deployment of industrial d...
2024-01-181h 01Industry40.tvEp 42 Data Driven Optimization in Process Industries - [ Jim Gavigan, President, Industrial Insight]Had the pleasure of hosting Jim Gavigan on my latest podcast episode, where we deep-dived into "Data-Driven Optimization in Process Industries."
We discussed leveraging data for efficiency, the challenges of data quality, and choosing between foundational principles and cutting-edge ML algorithms.
Jim also highlighted the significance of tools and strategies in this sphere, emphasizing the urgency of digitizing domain knowledge in the face of an impending knowledge drain.
Jim, is the President and Founder of Industrial Insight, Inc. where he helps industrial companies turn data into actionable information to deliver tangible results for...
2023-09-281h 08Industry40.tvEp 41 Applied AI in Manufacturing - [ Roey Mechrez, Head of AI, and EMEA MD @Tulip]By now, we're all aware of the profound impact Generative AI promises for manufacturing. Beyond just assisting engineers in application development, it equips managers with cutting-edge analytics and delivers invaluable error resolution insights to technicians, etc. - all through intuitive interactions.
That's why I'm excited about Tulip Interfaces' new "Frontline Copilot" which uses LLMs for natural language interaction between operators and manufacturing systems.
To truly comprehend its significance and the broader implications of Applied AI in manufacturing, I spoke with Roey Mechrez, PhD in my latest podcast episode.
Roey is the Head of...
2023-09-1156 min
The Manufacturing Come UpKudzai Manditereza: Transforming Manufacturing with AI and IoTKudzai is a Developer Advocate at HiveMQ and the Founder of Industry40.tv. He is extensively involved in research and communication around Industry 4.0 and AI for Smart Manufacturing, offering a unique perspective on the latest developments and trends in these fields. He shares his insights and knowledge with a dedicated audience of solution architects and developers through his popular YouTube channel and IIoT podcast, Industry40.tv.
2023-09-0749 minIndustry40.tvEp 40 Digital Twins for Process Optimisation and Asset Reliability - [ Erik Udstuen, CEO TwinThread]For years, manufacturers have had to navigate in relative blindness, implementing improvements on an as-needed, reactive basis.
This approach, although functional, has been markedly inefficient and reactive, particularly in terms of process optimisation and asset reliability, two vital aspects of industrial operations that can profoundly impact efficiency and profitability.
Digital Twins represent a transformative shift from this reactive approach to a proactive, predictive one. They facilitate a deeper understanding of how systems behave, providing industrial operators with actionable insights that were previously unavailable.
To learn more about the application of digital twins in...
2023-07-1845 min
Developer Nation BroadcastS1Ep-07 ft Kudzai Manditereza from HiveMQCatch Kudzai Manditereza, Developer Advocate from HiveMQ, talking about Enterprise Development in IoT. Practical Internet of Things applications using MQTT and much more in this episode of Developer Nation Broadcast.
2023-07-1150 minIndustry40.tvEp 39 DataOps for Digital Transformation In Manufacturing - [ Aron Semle, CTO Highbyte]DataOps for Digital Transformation In Manufacturing. In this episode, Kudzai Manditereza interviews Aron Semle, the CTO of Highbyte. HighByte is an industrial software company founded in 2018 with headquarters in Portland, Maine USA. The company builds solutions that address the data architecture and integration challenges created by Industry 4.0. HighByte Intelligence Hub, the company’s award-winning Industrial DataOps software, provides modeled, ready-to-use data to the Cloud using a codeless interface to speed integration time and accelerate analytics.
Outline
✅ What is DataOps, and Why is it relevant for Digital Transformation?
✅Key Steps of Implementing DataOps for a digit...
2023-07-0537 minIndustry40.tvEp 38 LoRaWAN for Industrial IoT Applications - [ Wienke Giezeman, The Things Industries]As companies with industrial operations struggle to economically access data from intelligent devices located in remote and challenging environments, LoRaWAN presents itself as a cost-effective solution.
With the capacity to locally integrate industrial data and transfer it via a private LoRaWAN network over vast distances, LoRaWAN simplifies protocol conversion and enhances data recovery.
To learn more about the LoRaWAN for Industrial IoT applications I had a chat with Wienke Giezeman. Wienke is the CEO & Co-founder at The Things Industries, a scalable LoRaWAN solutions provider, and the initiator of The Things Network, the first crowdsourced free...
2023-06-2740 minIndustry40.tvEp 37 Data Modelling and Manufacturing Ontologies for Digital Twins - [ Erich Barnstedt - Microsoft ]Digital transformation in manufacturing fundamentally involves transforming unprocessed data into valuable insights to guide business decisions through automated systems or human intervention.
Consequently, implementing a well-thought-out data modelling strategy is key to successful digital transformation as it helps to express the meaning of the data to digital systems.
To learn more about Data modelling for Industrial IoT in general and for Digital Twin use cases in particular, I had a podcast conversation with Erich Barnstedt.
Erich is the Chief Architect for Standards, Consortia and Industrial IoT in the Azure Edge and Platform team...
2023-06-2252 minIndustry40.tvEp 36 Agility, Open Platform Strategy & Industrial Data Spaces for Industry4.0 - [ Sandeep Sreekumar - IndustryApps ]In the face of a rapidly evolving industrial landscape, agility and innovation have emerged as core drivers of growth. It is essential for manufacturers to adapt swiftly to changes, harnessing new technologies and embracing new processes that fuel their development. But achieving this level of agility and innovation is not without its challenges.
So how do organizations successfully navigate these hurdles to lay the groundwork for a meaningful digital transformation? To understand the complexities of implementing Industry 4.0 digitalization programs and a robust pathway to digital transformation I had a podcast conversation with Sandeep Sreekumar.
Sandeep i...
2023-05-3054 minIndustry40.tvEp 35 Human-Machine Collaboration for Smart Manufacturing - [ Rafael Amaral - Tillit ]In smart manufacturing, effective data collection and analysis are crucial. But to truly succeed, it's essential to integrate the coordination of personnel, equipment, and materials into the process.
For the factory worker, this would typically be through a series of digital nudges that guide their decision-making throughout the day, enabling them to work in harmony with smart machines for optimal results.
To discuss more the value and implementation of human-machine collaborative systems for smart manufacturing, I talked with Rafael Amaral.
Rafael is the CTO and Co-Founder of TilliT, a cloud-based digital operations platform that p...
2023-05-051h 01Industry40.tvEp 34 Node-Red for IIoT in the Enterprise - [ Nick O’Leary, CTO Flowforge Inc ]The Node-Red project turns ten this year.🎉
And yet, its remarkable potential remains largely untapped in the industrial software domain.
Having been a Node-Red user and promoter since its early days, I've observed that its preparedness for enterprise deployments is a key challenge limiting its broader adoption.
To discover the most effective strategies for deploying and managing enterprise-grade Node-Red applications in Industrial IoT, I invited Nick O'Leary for a podcast conversation.
As the co-creator of Node-Red and the CTO and Founder of FlowForge—a DevOps platform for Node-Red—Nick brought invaluable insight...
2023-04-1146 minIndustry40.tvEp 33 Unified Namespace for Industrial IoT: The Masterclass - [ Walker D Reynolds, 4.0 Solutions ]Digital transformation of a manufacturing enterprise is a complex process that goes far beyond simply sending data to the cloud and implementing “predictive maintenance”.
It requires a strategic architectural approach that effectively utilizes your data ecosystem to make informed decisions in real-time and drive innovation at every level of your organization.
While there are various architectural approaches, the Unified Namespace (UNS) stands out as the most effective approach to achieve optimal results and reap the full economic benefits of digital transformation.
The UNS serves as a critical building block for your overall strategy.
2023-04-031h 22Industry40.tvEp 32 Low Foot Print OPC UA Over TSN for Real-Time Communication - [ Melvin Francis, Be Services ]In this latest episode, I explore the capabilities of OPC UA PubSub and how it can be integrated with Time Sensitive Networking (TSN) to standardize industrial field-level data transfer.
I speak with Melvin Francis, the Project Manager for OPC UA and TSN-related services at BE.services GmbH, to discuss the challenges faced in developing related applications due to the lack of ready-made OPC UA + TSN stacks or SDKs.
We also delve into the value of OPC UA + TSN integration and how it can address the requirements of time-critical industrial systems.
Furthermore, we explore...
2023-03-3041 min
2023-03-071h 05Industry40.tvEp 31 Architecting IIoT Solutions Using Unified Namespace - [ David Schultz, G5 Consulting ]The Unified Namespace has countless advantages over traditional architectural approaches when it comes to IIoT implementation in manufacturing.
Some of these are:
👉 More efficient communication and data sharing between different devices and systems.
👉 Improved scalability due to a unified interface that is consistent across the entire enterprise network.
But how do you go actually go about building a Unified Namespace Architecture?
To gain an understanding of this, I invited David Schultz for a podcast session.
David is the President of G5 Consulting where he works with manufacturers to help them develop a...
2022-12-1244 minIndustry40.tvEp 30 Fundamentals of OPC UA Information Modelling - [ Jouni Aro - CTO, Prosys OPC ]When you look around a factory, you are likely to see objects interacting with other objects. And there are specific things that each object can do.
It, therefore, makes sense that, in order to build autonomously reconfiguring factories, each object needs to be able to describe its capabilities to other objects so that they can interact with no human intervention.
OPC UA Information Modelling is an effort to enable the description of complex industrial systems through a standardised and object-oriented interface.
To gain a deeper understanding of how it works, I invited Jouni Aro fo...
2022-10-231h 01Industry40.tvEp 29 Manufacturing Execution Systems for Data-Driven Manufacturing - Kevin Jones, CEO EctoboxGaining competitive advantage is the main driver of innovation in nature as much as it is in technology. And the manufacturing ecosystem is no different.
In manufacturing, this manifests in the deployment of production automation systems on the shop floor, and enterprise planning systems on the top floor.
But yet, there's a grey area in between that has, for the most part, remained underutilised or wrongly implemented altogether.
This is where a Manufacturing Execution System (MES) would live.
To understand how manufacturers can gain a competitive advantage by leveraging a Modern MES Arch...
2022-10-1353 minIndustry40.tvEp 28 Predictive Analytics in Manufacturing - Maciek Wasiak, CEO Xpanse AII 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 sou...
2022-10-0654 minIndustry40.tvEp 27 First Principles : First Principles of Smart Manufacturing - Conrad Levia, CESMIIWhenever 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 missio...
2022-09-2943 minIndustry40.tvEp 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...
2022-09-2240 minIndustry40.tvEp 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...
2022-09-2243 minIndustry40.tvEp 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...
2022-09-0846 minIndustry40.tvEp 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 extensi...
2022-09-0458 minIndustry40.tvEp 22 : Building Scalable and Secure IIoT Solutions Using Open Source - Jeremy Theocharis (Co-Founder & CTO - United Manufactruing Hub) )Done right, the digital transformation of manufacturing enterprises has less to do with plugging in smart objects to collect data from the factory floor.
Rather, it has a lot to do with laying down a reliable, secure, and scalable data processing infrastructure in such a manner that it allows you to automate your entire manufacturing business process.
And for engineers and architects tasked with building IIoT solutions, it involves picking the right tools for each part of your data processing pipeline, from the edge of the network to systems at the highest level of your ente...
2022-08-251h 00Industry40.tvEp 21: Edge AI: Artificial Intelligence and Distributed Computing at The Industrial Edge - Angelo Corsaro (CEO & CTO - ZettaScale Technology )By now, It's no longer up for debate whether artificial intelligence will permeate the industrial automation space as much as it has the commercial sector.
The biggest challenge, I'd imagine, is how do we build a robust enough nervous system that brings data to the AI agents at the industrial edge for processing, with unlimited horizontal scale.
To understand in-depth how that could work, I invited Angelo Corsaro for a chat.
Angelo is CEO and CTO at ZettaScale Technology, a company working to bring to every connected human and machine the unconstrained freedom to c...
2022-08-2556 minIndustry40.tvEp 20: OPC UA and Time-Sensitive Networking for Field Level Communication - Bhagath Singh Karunakaran (CEO, Founder - Kalycito )Naturally, standard Ethernet does not guarantee real-time communication.
So, to provide guaranteed cycle times and latencies for machine control and process automation using Ethernet, vendors implemented real-time Fieldbus protocols on top of it.
Thereby creating a specialised type of Ethernet that is unusable for anything else, and causes fragmentation of industrial networks due to incompatibilities of Fieldbus protocols.
But yet, for the success of Industry 4.0, what is required is one type of Ethernet network that is usable for both, executing time-critical OT processes, as well as for non-time-critical collection of data from machines in...
2022-02-2336 minIndustry40.tvEp 19: Application of Web 3 in Industrial IoT & Edge Computing - Rex St. John ( Jetson Software Ecosystem - NVIDIA )As the saying goes, "Don't throw the baby out with the bathwater".
Many people in the manufacturing space are quick to dismiss Web 3, and justifiably, because of the recent sensationalism created around it by Big Tech.
And yet, Web 3 has the potential to massively impact how we build production systems. In fact, the success of Industry 4.0 lies, to some extent, in the enablement of decentralised peer-to-peer networking of factories, with decentralised storage, compute, and connectivity.
In any case, now that Web 3 has come to the fore, I decided to invite Rex St. John, a...
2022-02-1823 minIndustry40.tvEp 18: Edge Computing for Industrial IoT - Dominik Pilat & John Kalfayan( Hivecell)Another year has come and gone, and still, almost every IIoT use case in manufacturing requires some sort of compute capability near the source of the data in order to solve some of the toughest challenges in Manufacturing Digital Transformation.
But yet, the currently dominant model for Industrial IoT is the Cloud-Based Platform-As-A-Service.
The issue is, while Edge Computing architectures do provide immense power and capabilities such as system resilience through delegation of computational workloads to autonomous IIoT devices in Distributed Edge Computing, it brings with it implementation complexity in manufacturing enterprises.
So...
2022-01-1759 minIndustry40.tvEp 17: AutomationML, OPC UA & Asset Administration Shell for Industry4.0 - Dr. Miriam Schleipen ( Chief Research Officer, EKS InTec GmbH )The biggest challenge in the transition to Industry4.0 lies in the horizontal and vertical integration of information flow within and across manufacturing organisations, and the digitalisation of the engineering processes involved.
Among the technologies and standards developed to enable this flow of information, is the compelling combination of AutomationML, OPC UA, and the Asset Administration Shell.
To discuss this combination, I talked with Dr. Miriam Schleipen, the Chief Research Officer at EKS InTec GmbH where she deals with semantic interoperability in automation ecosystems based on Digital Twins and their application in automation environments.
Miri...
2021-11-0438 minIndustry40.tvEp 16: Application of Artificial Intelligence in Process Industries - Simon Rogers ( Digital Transformation Consultant, Yokogawa )Perhaps the most common silos of information in Process Industries are the skilled workers who possess rare knowledge on how to optimise processes and maintain production equipment using traditional methods.
The good news is, the future of manufacturing is one where plant assets and operations have the capability to autonomously learn and self adapt in order to optimise processes with minimal human intervention, thereby freeing the skilled human resource for more value-added tasks. And that future has already begun!
To learn more about how Artificial Intelligence is currently being applied to solve problems in Process In...
2021-10-2946 minIndustry40.tvEp 15: Edge Analytics and Intelligent Automation for Industrial IoT - Martin Thunman ( CEO & Co-Founder, Crosser )Based on the undeniable success of Advanced Data Analytics in Internet Companies, there's no doubt that manufacturers could reap massive benefits from adopting this "Data First' approach.
And for manufacturers, having this intelligent layer at the edge, closer to industrial data sources has proven to be more fitting and valuable.
To gain an understanding of the application of Edge Analytics for intelligent automation, I had a conversation with Martin Thunman. Martin is the CEO and Co-Founder of Crosser, a platform that was built with the realisation that low code edge analytics, automation, and integration software...
2021-10-2049 minIndustry40.tvEp 14: IIoT Semantic interoperability with MTConnect - Russell Waddell ( Managing Director, MTConnect Institute )
While IIoT protocols play a crucial role in communicating information from one industrial system to the next, the full value of IIoT can only be realised by standardising the vocabulary with which this information is communicated.
The MTConnect Standard offers such a semantic vocabulary for manufacturing equipment like Machine Tool Controllers, Robotic Arms, CNC Machines, etc. And more importantly, it integrates with other communication standards.
To understand how MTConnect works and its role in Industrial IoT, I had a conversation with Russell Waddell who is the Managing Director at the MTConnect Institute and is responsible for day-t...
2021-10-0441 minIndustry40.tvEp 13: Time-Series Databases for IIoT [ InfluxDB ] - Brian Gilmore ( Product Manager for IoT, InfluxData )By nature, industrial facilities consist of physical assets and processes that evolve through time. Therefore, each data point generated by such systems is essentially a snapshot of events at that particular point in time.
By extension, this data wants to be stored in a way that reflects the sequential order of events, so that it can be rapidly queried and analysed, among many other reasons.
But yet, this isn't a capability that is inherently baked into the more common Relational and NoSQL databases. Hence the rise in popularity of Time-Series Databases for industrial Telemetry Data...
2021-09-2144 minIndustry40.tvEp 12: Embedded Machine Learning for IIoT - Zin Kyaw ( Senior User Success Engineer, Edge Impulse )The success of a fully realised Industry4.0 lies in the democratisation of intelligence and the capacity for Industrial "Things" to autonomously act based on the knowledge they have.
Effectively, turning each and every factory into a computer that is made up of modular processes within, in the form of Cyber-Physical systems.
And central to that success, is the ease with which Industrial things like pumps and sensors can be embedded with Machine Learning functionality.
To learn more about Embedded ML, I had a chat with Zin Thein Kyaw who is a Sr Success En...
2021-09-1539 minIndustry40.tvEp 11: Global Industry Standards for Industrial IoT - Claude Baudoin ( cébé, OMG, IIC, Cutter )As Industrial IoT matures, most of the components in the IIoT stack have become commoditised. Things like hardware, OSes, drivers, protocols, databases e.t.c
But yet, many organisations still develop custom interfaces for these components, instead of adopting standards. And in cases where there is adoption, there lacks an industry-wide consistent approach to standardisation.
To understand the importance of standardisation for IIoT and how vendors and end-users should engage standards, I had a conversation with Claude Baudoin.
Claude is the co-author of a recently published whitepaper on Global Industry Standards for IIoT by...
2021-07-0335 minIndustry40.tvEp 10: Open Source Software for Industrial IoT - Frédéric Desbiens ( Program Manager - IoT and Edge Computing, Eclipse )At the present moment, it is quite clear that the future of industrial automation will be driven by software. More so, that of IIoT.
And, due to the merits that have allowed it to dominate in the IT space, Open Source software is likely to lead the industrial software revolution. Regardless of the conservative nature of the industry.
To discuss the use of Open Source in building IIoT solutions, I had a conversation with Frédéric Desbiens.
Frédéric is the Program Manager for IoT and Edge Computing at the Eclipse Founda...
2021-06-0251 minIndustry40.tvEp 09: Industrial Internet of Things (IoT) 101 - Benson Hougland ( VP of Product Strategy, Opto22 )Nowadays, with so many IIoT concepts in the air, you can't help but breathe it in.
But sometimes it's helpful to take a step back and put all of this in context to understand how we got here, as that might help shed light on what IIoT is and isn't about.
To gain a fundamental understanding of OT-IT integration, I had a conversation with Benson Hougland.
Benson is VP of Product Strategy at Opto 22, a company that has been at the forefront of OT-IT integration for close to 30 years. From being a founding me...
2021-04-0651 minIndustry40.tvEp 08: Technical Foundations of IoT - Dominik Obermaier ( Co-Founder & CTO, HiveMQ )While it may be convenient to follow simple steps to get connectivity working for your IIoT solution, sometimes you are better off having an understanding of the elements that make up the broad spectrum of connectivity technologies.
To understand the foundations upon which IoT protocols are built, I had a conversation with Dominik Obermaier. Dominik is the Co-Founder & CTO of HiveMQ, a company that provides an MQTT broker and a client-based messaging platform to over 130 customers including many Fortune 500 companies for mission-critical use cases like connected cars, logistics, Industry 4.0, and connected #IoT products.
Dominik is also...
2021-03-1553 minIndustry40.tvEp 07: Kafka for Industrial IoT Streaming - Kai Waehner ( Field CTO & Global Technology Advisor, Confluent )Developed at LinkedIn in 2010, Apache Kafka - a stream processing engine, now powers web-scale Internet companies such as Netflix, Uber, Twitter, Airbnb, and more. Profoundly impacting real-time user experience.
Of equal impact, is its application in creating a continuous streaming pipeline of manufacturing data, from the factory-floor to data centers. Fundamentally changing the structural organisation of manufacturing systems.
To gain an understanding of Kafka in IIoT, I had a conversation with Kai Waehner. Kai is Field CTO and Global Technology Advisor at Confluent, a company that was founded by Kafka creators and is behind the ope...
2021-03-0842 minIndustry40.tvEp 06: Foundations of Industrial IoT Data Architecture - John Harrington ( Co-Founder, HighByte )So here's the thing, data from industrial sources is inherently messy. For example, a typical PLC system manages thousands of tags from both physical instruments and internal calculations, but this data is often unstructured, not linked to a unifying data model, and uses naming conventions that are vague to the outside world.
This makes data from such sources not readily usable in analytics applications and has led to the emergence of a new field of industrial data preprocessing for IIoT, called Industrial DataOps.
To discuss more on industrial DataOps, I had a conversation with John H...
2021-03-0844 minIndustry40.tvEp 05: Advanced Plant-Floor Data Analytics - Marcos Taccolini ( Founder and CTO, Tatsoft )Cliché as it may sound, data IS the new Oil. But, to fully reap the benefits, data needs to be properly collected and advanced analytics correctly applied to it.
To better understand the process, I had a conversation with one person who has close to 3 decades of building industrial data aggregation and advanced visualisation tools, Marcos Taccolini.
Marc is currently the Founder and CTO of Tatsoft, a platform developer for real-time factory-floor data monitoring, SCADA and HMI Systems, Distributed Data Aggregation, and Advanced Visualization Tools.
Below, is the outline of our conversation.
2021-01-2059 minIndustry40.tvEp 04: A Practical Guide to IIoT Connectivity - Stan Schneider ( CEO, Real-Time Innovations )While the connectivity of industrial systems is the most important aspect of IIoT, there is currently a confusing mix of connectivity technologies and standards.
To understand IIoT Connectivity I had a conversation with Stan Schneider, who specialises in innovation where pervasive networking meets functional AI
Stan is CEO of Real-Time Innovations (RTI), the world’s largest software framework provider for smart machines & real-world systems such as power plants & autonomous vehicles
Here's what we discussed
✔️ Industrial Internet Connectivity Framework
✔️ Why Connectivity Technologies Don't overlap
✔️ Why Connectivity Wrappers Don't Work
✔️ Industrial Connecti...
2021-01-1958 minIndustry40.tvEp 03: Fundamentals of Edge Computing - Rob Tiffany ( VP & Head of IoT STrategy - Ericsson )The success of IIoT in mission-critical applications depends on its ability to support local storage, compute, and connectivity for real-time responses, while sending selected data to the cloud for additional analytics. In short, Edge Computing
To gain a comprehensive understanding of Edge Computing, I sat down with somebody whose day job is strategising and executing at the intersection of 5G, Edge Computing, and the Internet of Things, Rob Tiffany
Rob is currently VP and Head of IoT Strategy at Ericsson
Here's what we discussed
✔️ Edge Computing Intro
✔️ Edge Computing Architecture Trends
2021-01-1956 minIndustry40.tvEp 02 : Principles of IIoT Architecture - Rick Bullota (Co-Founder, Thingworx)Having a solid understanding of the key components of an IIoT architecture and how to integrate them is the most important aspect of building an IIoT application, both as an in-house solution and as a service offering
So, to help shed light on the principles of IIoT architecture design, I had a discussion with one person who is best positioned to speak on the subject, Rick Bullotta
Rick Co-Founded Thingworx, which is one of the first and arguably the most successful IIoT platform to date
Here's what we discussed
✔️ IIoT Architectural Patter...
2021-01-1942 minIndustry40.tvEp 01 : The Ultimate Guide to Digital Twins - Pieter van Schalkwyk (CEO, XMPRO)Digital Twins will, undoubtedly, transform how manufacturers build and maintain products. From consumer goods to complex structures such as buildings and aircraft.
But as of now, confusion and lack of its grasp are limiting adoption.
To understand the technology better, I had a conversation with Pieter van Schalkwyk, whose company has helped Fortune 10 companies build Digital Twins.
Here's what we discussed
✔️ What is a digital twin?
✔️ Digital modeling concepts
✔️ Types of digital twins
✔️ Digital Twin formats
✔️ Tools and frameworks
✔️ Step by Step Process
✔️ Interfacing with digital twins
✔️ Dig...
2020-11-1934 min
The Human and Machine PodcastEp 16 l Kudzai Manditereza: One engineer’s passion for building IIoT and AI systemsKudzai has a passion for helping others. By finding a small piece of explanation that clarifies precisely, how something works. That passion led to the creation of Industry40.tv. Now a trustworthy and inspiring place to find everything you need to learn and master Industry4.0 technologies. This is his story.
Learn more about Industry40.tv here: www.industry40.tv
2020-11-1356 min