Manufacturing Hub

In this episode of Manufacturing Hub, we welcome back Billy Albritton for a deep dive into the evolving world of artificial intelligence in manufacturing. Billy first joined us on Episode 23, and now almost 200 episodes later, he returns to share his perspective on how far the space has come and what the future holds.

Billy walks us through his journey from the military to advanced manufacturing and ultimately to becoming a leading voice in the AI and digital transformation space. We explore how large language models like ChatGPT are already changing how we write code, design solutions, and even train junior engineers. He offers real-world use cases of generative and agentic AI in industrial contexts and explains how tools like Cursor are already being used to automate everything from software development to curriculum generation.

We unpack the cultural barriers that prevent AI from being adopted on the plant floor and how forward-looking companies can implement AI safely and ethically. From internal teams building custom tools to small agile firms delivering big results, the conversation highlights the shift in power and opportunity across the ecosystem.

Billy also gives us a glimpse into the near future of AI-enhanced humanoid robots, local LLM deployments on the shop floor, and what might happen to traditional job roles as these technologies scale. Whether you are an engineer, developer, plant manager, or simply curious about how AI is impacting the real world, this episode will give you both insights and practical strategies to consider.

Stick around until the end to hear Billy’s predictions for the next five, ten, and twenty years in manufacturing. And if you’re wondering how to get started with AI tools, Billy offers concrete advice and resources you can begin exploring today.

Timestamps:
00:00 Welcome back Billy Albritton
02:00 Billy’s path into manufacturing and robotics
06:00 How ChatGPT shifted Billy’s perspective
10:00 What is agentic AI and why it matters
15:00 The changing role of junior developers
20:00 AI in traditional enterprise software vs the real factory floor
27:00 Challenges with industrial AI adoption
32:00 Internal vs external development strategies
37:00 Billy’s go-to AI tools and workflows
45:00 Real-time AI assistants and the new software paradigm
53:00 Is there a ceiling to generative AI?
59:00 The future of robotics and humanoids
1:03:00 What happens to work in a post-AI world?
1:06:00 Advice for anyone looking to start with AI today

Connect with Billy
https://www.linkedin.com/in/billyalbritton/

Follow us
Host: https://www.linkedin.com/in/vladromanov/
Show: https://www.manufacturinghub.live/
Joltek: https://www.joltek.com/

Recommended Tools Mentioned
Cursor: https://www.cursor.so/
OpenAI ChatGPT: https://chat.openai.com/
Claude by Anthropic: https://claude.ai/
Synthesia: https://www.synthesia.io/
Hugging Face: https://huggingface.co/
Leonardo AI: https://leonardo.ai/

Subscribe for more conversations with the most innovative minds in manufacturing and industrial automation. New episodes every Thursday.

AI is making headlines across every industry, but how much of it is actually being used on the manufacturing floor?

In this episode of Manufacturing Hub, Vlad and Dave return to the whiteboard to explore practical and real-world applications of artificial intelligence in manufacturing. From pre-operations to live production, this session covers how AI is being used today across CAD tools, BOM generation, predictive maintenance, system optimization, and machine vision. We also talk through the risks, the limitations, and what still requires human judgment.

We begin with design tools and programming before the machine even starts. Then we move through how AI is being used during operations for tasks like work order creation, failure detection, and PLC coding assistance. We explore real use cases for predictive maintenance and ask the tough question: what value are companies actually getting from this technology? Later in the episode we shift into optimization strategies. How can AI help increase throughput or reduce energy costs based on historical data? What does it take to apply these methods in mid-market factories, not just Fortune 100 environments?

We also dive into quality inspection and machine vision. These applications are among the most mature in manufacturing today, and we break down examples like barcode inspection, defect detection, and using AI to adapt based on customer complaints. Throughout the episode we share insights from the field and address audience questions about generative AI, simulation tools, and where human expertise still matters most.

Referenced in this episode
Phoenix Contact case study from Episode 173: https://www.youtube.com/watch?v=ZoQjowwDi2M
Siemens and Microsoft Copilot initiative
Emerson, Bentley Nevada, and GE predictive maintenance platforms
University of Tennessee Reliability and Maintainability Center: https://www.rmc.utk.edu
UR and Spectral vision systems seen at Automate 2025
Teledyne and Cognex AI-based machine vision tools
Cone GAVIN and Siemens Process Simulate
Joltek – consulting for manufacturing strategy, automation, and digital transformation: https://www.joltek.com/

This is Episode 212 of Manufacturing Hub, your go-to resource for conversations between real practitioners in industrial automation and manufacturing. Join us live every Wednesday at 4 PM Eastern and follow along on YouTube, LinkedIn, and all major podcast platforms.

In this special edition of Manufacturing Hub, we take you inside one of the most transparent and technically rigorous events in industrial automation: ProveIt 2025.

Created by Walker Reynolds and the team at 4.0 Solutions, ProveIt brings together 36 vendors to solve real manufacturing problems inside a live virtual factory environment. Everything is connected through a Unified Namespace and powered by real-time MQTT infrastructure.

Unlike traditional expos, ProveIt is not about product demos. It's about execution. Vendors were given access to production data, a shared namespace, a deadline, and a challenge: prove your solution works—live, with full transparency around time, cost, and outcomes.

Featured Guests

We speak with industry leaders and innovators including:

• Walker Reynolds from 4.0 Solutions
• Travis Cox from Inductive Automation
• Benson Hougland from Opto 22
• Caleb and Sophia from Siemens (WinCC OA and Industrial Edge)
• Mark and Harry from Tatsoft Frameworks
• And many more voices from across the Manufacturing Hub community

What You'll Learn

• Why ProveIt is reshaping the way we evaluate industrial tech
• How Unified Namespace is implemented at scale
• Real examples of cost, delivery time, and performance data
• Building resilient MQTT architectures for edge-to-cloud
• AI and machine learning use cases that go beyond dashboards
• Why transparency and interoperability matter more than ever
• Lessons in vendor selection, technical strategy, and scalability
• How real manufacturers are architecting their next-gen stacks

Explore the Technologies Featured

ProveIt and 4.0 Solutions
https://www.40solutions.com
https://www.proveit.live

UNS and Industry 4.0 Learning
https://www.iiot.university
https://www.youtube.com/@4.0Solutions

MQTT Infrastructure
HiveMQ – https://www.hivemq.com
Tatsoft Frameworks – https://tatsoft.com

SCADA and Edge Platforms
Inductive Automation – https://inductiveautomation.com
Opto 22 – https://www.opto22.com
Siemens WinCC OA – https://new.siemens.com/global/en/products/automation/industry-software/automation-software/scada/wincc-open-architecture.html
Siemens Industrial Edge – https://www.siemens.com/global/en/products/automation/industrial-edge.html

Cloud and Data Services
Google Cloud for Manufacturing – https://cloud.google.com/solutions/manufacturing
Dell NativeEdge – https://www.dell.com/en-us/dt/solutions/edge-computing/nativeedge.htm
Snowflake Manufacturing Solutions – https://www.snowflake.com/solutions/industry/manufacturing
Litmus Edge AI – https://litmus.io
Tulip Interfaces – https://tulip.co

Community and Resources

Industry 4.0 Discord
https://discord.gg/industry40

IOT University Mastermind Program
https://iot.university

More Episodes of Manufacturing Hub
https://www.youtube.com/@ManufacturingHub

Final Thoughts

ProveIt is not just a conference. It is a full-scale test bed for what's possible in modern manufacturing. Real data. Real time. Real constraints. Real answers.

If you want to see how the best in the industry are building the next generation of manufacturing architecture, this is the episode to watch.

Let us know which vendors impressed you most. What technologies are you excited to explore? And what would you like to see proved next year?

Thank you for being part of the Manufacturing Hub community.

Welcome back to Manufacturing Hub! In this special episode, we dive into an Automate 2025 preview, joined by Brian Priebe from Mach Controls and James Brown from 4IR Solutions.

We break down what to expect at Automate next week in Detroit (May 12 to 15), booth highlights, technology trends, and hands-on insights into cutting-edge industrial solutions like Unified Namespace, Dockerized PLCs, AI applications in manufacturing, and more.

Topics discussed:
✅ What's new at Automate 2025
✅ The Mach Controls ProveIt demo
✅ Building practical data infrastructure for manufacturers
✅ Unified Namespace architecture and UMH
✅ Docker containers in industrial environments
✅ AI's real potential in manufacturing operations
✅ How small to mid-size manufacturers can advance digital maturity
✅ 4IR Solutions’ Factory Stack offerings
✅ Best practices for building scalable, future-proof architectures

Guest highlights:
🔹 Brian Priebe, President of Mach Controls
🔹 James Brown, CEO of 4IR Solutions

References

• Automate Show
• United Manufacturing Hub
• Inductive Automation Ignition
• Opto 22
• Phoenix Contact

Booth locations at Automate 2025:
Siemens Booth #3232
Phoenix Contact Booth #5232
Inductive Automation Booth #3452

If you’re attending Automate, be sure to stop by these booths to check out demos, meet the community, and explore how modern architectures are shaping the future of manufacturing!

Join the conversation:
Are you exploring AI, Unified Namespace, or modern data architectures in your plant? Drop your questions or comments below!

Follow us:
https://www.manufacturinghub.live
Joltek
FRAME

In Episode 209 of Manufacturing Hub, we sit down with Dylan to explore the full spectrum of automation—from his early hands-on experiences in PLC programming all the way to architecting full-scale SCADA and MES systems. If you're looking to understand what it really takes to grow a career in industrial automation, this conversation delivers raw insights, practical lessons, and battle-tested strategies from the plant floor to the boardroom.

Dylan shares how his career evolved from service technician to systems integrator, detailing the learning curve involved in jumping between platforms like Ignition, FactoryTalk, Wonderware, and SQL databases. We dig into real-world project challenges, the importance of simulation and testing, and what it means to deliver systems that operators actually enjoy using. Along the way, Dylan offers valuable advice on how to learn faster, deal with unclear project scopes, and design better user interfaces by borrowing principles from modern UX and UI design.

We also examine:
Why ownership and internal technical teams are critical for end users

The importance of interoperability and avoiding vendor or integrator lock-in

How project creep really happens and what you can do about it

Visualization trends in SCADA and HMI systems, including practical opinions on high-performance design and AR/VR

Data strategies for manufacturing, from pipe-level decisions to planning for future use cases

Dylan’s new venture, Abelara, and how it helps manufacturers align executive vision with plant-floor execution

This episode is a must-listen for engineers, integrators, and manufacturing leaders looking to modernize their operations while keeping both usability and scalability in mind. Whether you’re early in your automation career or navigating complex transformation efforts, you’ll walk away with insights you can apply immediately.

⏱ Timestamps:
00:00 – Introduction
00:08 – What is Manufacturing Hub? Meet Dylan, our guest
02:00 – Dylan’s career path from tech school to SCADA systems
04:00 – Early project experience and rapid on-the-job learning
06:30 – Moving from PLCs to SCADA and MES development
08:20 – Learning without mentors: forums, support lines, and trial by fire
10:10 – Challenges and opportunities with modern control platforms
12:00 – Vendor openness, interoperability, and practical system limitations
15:00 – Scope creep and how to reduce it with better project planning
17:00 – The role of simulation and show-and-tell in successful startups
20:00 – Getting end user buy-in from operators to executives
22:15 – UI and UX in industrial systems: beyond standards and templates
26:00 – Why most HMI screens are outdated and how to improve them
30:00 – Using consumer design trends in industrial HMI development
33:00 – Ownership vs. partnership: the evolving role of integrators
36:00 – Visualization tools: what's working and what still needs to improve
40:00 – Data in manufacturing: planning, silos, and interoperability
45:00 – Why planning trumps tools and how to avoid duplicate systems
49:00 – Real talk on end user responsibility and integrator lock-in
54:00 – How local integrators can thrive in a reshoring environment
57:30 – Early signs and implications of reshoring in manufacturing
01:01:00 – Introducing Abelara: Dylan and Glenn’s new consulting venture
01:04:00 – Book recommendation: Silos, Politics and Turf Wars
01:06:00 – Career advice for new engineers: learn by doing
01:09:00 – Final thoughts and how to connect with Dylan and Abelara

📘 Book Mentioned:
Silos, Politics and Turf Wars by Patrick Lencioni – A foundational read for breaking down barriers and aligning teams across departments.

🎙 Learn more about Dylan and his work at Abelara: https://abelara.com
Check out the manufacturing newsletter - https://www.framexl.com/

Subscribe for weekly conversations with experts pushing the boundaries in automation, controls, manufacturing systems, and digital transformation.

In this episode of Manufacturing Hub, co-hosts Vlad and Dave turn the spotlight on themselves and share deeply practical stories from the front lines of industrial transformation. With decades of experience consulting across manufacturing verticals, they unpack some of the most pressing (and often misunderstood) topics shaping the future of factories today—from aging infrastructure and insurance-driven cybersecurity to real-world applications of artificial intelligence and organizational change.

If you're a plant manager, controls engineer, systems integrator, or digital transformation leader, this episode delivers grounded, no-fluff advice you can apply right away.

🧠 Key Themes & Topics Covered:
🔐 Cybersecurity as a Financial Decision:
Vlad explains how cybersecurity initiatives often originate from IT and are directly influenced by rising insurance premiums, making cyber-risk quantifiable. Learn how assessments now inform insurance underwriting and why updating your legacy OT systems could lower your premiums and risk exposure.

🛠️ Obsolescence Assessments & Risk-Based Planning:
Explore the actual workflow of auditing plant-floor systems, from identifying unsupported PLCs (like PLC-5s or Data Highway+) to negotiating priorities between IT directors, engineering teams, and insurance firms. Vlad shares real examples of balancing modernization costs with production constraints and process uptime.

📊 Why Assessments Are Just the Beginning:
Understand how post-audit phases translate into strategic proposals that combine low-hanging fruit projects with long-term roadmaps. Learn how organizations build 3–5 year modernization strategies—without bringing operations to a halt.

🤖 AI Strategy in Manufacturing—Beyond the Hype:
Dave shares how enterprise leaders—from CEOs to HR and IT departments—are approaching AI with curiosity but confusion. He outlines a clear framework for structuring executive workshops, evaluating tools, and identifying high-impact use cases across functions (from maintenance to HR to accounting).

🧩 AI Agents, Co-Pilots, and the Future of Decision-Making:
Explore the evolving role of AI agents and LLM-based tools on the shop floor. Dave breaks down what AI agents are, how they might function in the future (e.g., executive dashboards that talk back), and what security hurdles still block widespread deployment in industrial settings.

⚠️ The Reality of Change Management:
Implementing new tech is hard. Dave discusses how real change happens only when frontline champions (not just executives) see personal value in new tools. Hear the story of how one skeptical veteran technician became a project’s biggest advocate—once it solved a pain point he had lived with for decades.

🔁 IT/OT Alignment & Organizational Silos:
The hosts discuss why most enterprise-scale modernization efforts stall—not due to technical complexity, but due to siloed budgets, conflicting incentives, and competing visions between digital transformation leads, IT VPs, and plant operations.

⏱️ Timing Is Everything:
Even with budget in hand, projects often face delays due to scheduling around critical uptime windows. Vlad explains how production planning often dictates digital progress, especially in lean operations like food & beverage and life sciences.

🎯 Who This Episode Is For:
Engineering & operations leaders navigating legacy infrastructure
Cybersecurity professionals responsible for OT risk mitigation
Plant managers balancing uptime with modernization goals
Digital transformation executives driving multi-year initiatives
System integrators and consultants supporting migration projects
Anyone curious about how AI is actually being evaluated in manufacturing

📢 Don’t forget to:
✅ Like this episode if you learned something
📝 Comment with your thoughts or questions
🔔 Subscribe for weekly episodes exploring the frontlines of manufacturing
🎧 Listen on Spotify, Apple Podcasts, or your favorite platform

In this episode of Manufacturing Hub, we welcome Amy Williams, Systems Architect at Skellig, for a deep dive into the world of life sciences manufacturing, a rarely explored but incredibly complex part of the industrial landscape.

From her roots in biomolecular chemical engineering to her hands-on role in Operation Warp Speed, Amy walks us through what it's really like to build and validate manufacturing systems for pharmaceutical and biotechnology applications under FDA regulation. 💊🧪

We explore:
What exactly qualifies as "life sciences" in manufacturing
Why GMP compliance and validation are critical, and how they slow everything down
How Operation Warp Speed succeeded in compressing a 10-year process into months
The role of automation, MES, and DCS in life sciences
Why paper-based MES is still sometimes the fastest way forward (and why that needs to change)
How companies are moving toward digitization, better data exchange, and process analytical technology (PAT)

Amy also shares her thoughts on:
The importance of cross-functional collaboration in regulated environments
Tips for engineers looking to break into the life sciences space
Why owning your control code might be more valuable than you think

If you're in automation, MES, or engineering leadership, and especially if you work in or around FDA-regulated industries—this episode is a must-listen.

🎧 Subscribe for more practical conversations at the intersection of manufacturing, automation, and strategy.

🔗 Connect with Amy: https://www.linkedin.com/in/amy-williams-automation
📚 Book Recommendation: The Technology Fallacy

We’re kicking off a new theme—Faces You Should Know in Manufacturing—with none other than Ryan Cahalane, Managing Partner at Axiom Manufacturing Systems. Ryan’s path through manufacturing is anything but ordinary: from plant floor engineering at Goodyear, to leadership roles at GE, Rockwell Automation, OSIsoft, and more, Ryan has worked every angle of the manufacturing ecosystem.

In this episode, Ryan joins Dave and Vlad to unpack the biggest real challenges manufacturers are facing today—not the buzzwords, not the hype, but the deep, persistent problems slowing progress across the industry.

We discuss:
Why there’s no one-size-fits-all solution—and why misalignment is more common than we admit
The skill gap crisis: it’s not just about training, it’s about pay, experience, and opportunity
The AI distraction: why most companies aren’t ready, and how AI is best used today in manufacturing
The dangers of LinkedIn echo chambers and shiny object syndrome in tech selection
Why engineers struggle to move into consulting—and why they shouldn’t be afraid to try
The unique challenges (and hope) in mid-market manufacturing—and how nimble companies can still win
The need for a Sherpa, not a savior: how consultants should support, not dictate

Ryan’s story is filled with rich personal insights: from trading stocks and working at Deloitte, to recovering from a stroke and launching Axiom, he brings a grounded, field-tested perspective that connects strategy, operations, and technology in ways few others can.

If you're a plant manager, engineer, executive, or someone who helps manufacturers grow—this conversation will challenge your assumptions, validate your experiences, and probably make you laugh.

This isn’t just another talk about “digital transformation.” It’s a real look at what it takes to lead, adapt, and deliver in a manufacturing world that refuses to sit still.

Welcome back to a special Thursday edition of Manufacturing Hub!
In this episode, we dive deep into one of the standout presentations from the Prove It conference — featuring Travis Cox from Inductive Automation and Arlen Nipper from Cirrus Link Solutions.

🎥 We start by reflecting on the Prove It showcase, where Travis and Arlen demonstrated the power of Unified Namespace (UNS) and MQTT across every layer of the solution stack — from Edge devices, to the Ignition Gateway, to the Cloud.
➡️ Watch as we discuss their approach to scalability, ease of deployment, and why Ignition continues to lead the way in industrial digital infrastructure.

During the show, we cover:
✅ The real-world adoption of MQTT vs OPC UA in manufacturing environments, and why OPC UA is still dominant in many industries.
✅ Why naming conventions and early standardization are critical for successful UNS architectures.
✅ How to tackle data contextualization and overcome the "tech debt" so common in brownfield facilities.
✅ The importance of leadership-driven digital transformation and true IT/OT convergence.
✅ Why future-ready architectures require blending traditional technologies like OPC UA with MQTT and open standards.
✅ Insights into how small, medium, and enterprise manufacturers should approach digital transformation differently.

Travis shares incredible insights on:
🔹 The evolution of Ignition and its role as an IIoT platform
🔹 Why a common digital infrastructure is non-negotiable for scaling
🔹 How even small wins (like energy monitoring) can spark major cultural shifts in manufacturing organizations
🔹 The growing role of IT leaders in successful plant floor modernization efforts
🔹 How AI, ML, and advanced analytics will shape the future of real-time industrial operations

We also dive into broader industry trends seen at Prove It, including how other platforms like Frameworks (Tatsoft) and WinCC OA (Siemens) position themselves in the evolving digital manufacturing landscape.

Helpful Links: 🔗 Learn more about Inductive Automation: https://inductiveautomation.com
🔗 Manufacturing Hub Podcast Archives: https://manufacturinghub.live

Timestamps: 0:00 - Intro and Prove It Recap
5:30 - First impressions of the Inductive Automation session
11:50 - MQTT vs OPC UA in real-world manufacturing
18:10 - Challenges of UNS deployment and the importance of standards
28:40 - IT/OT convergence and building unified teams
38:20 - What sparks digital transformation success?
47:10 - How Ignition fits into modern industrial architectures
55:00 - Closing thoughts on Prove It and the future of manufacturing

🔔 Subscribe for more conversations on industrial automation, digital transformation, and manufacturing leadership every week!

In Episode 204 of Manufacturing Hub, we wrap up our month-long ERP series with Glenn from Waites. Glenn shares a practical framework for understanding ERP systems—perfect for engineers, plant managers, and anyone who’s struggled with clunky ERP software. We break down key modules like Financials, Supply Chain, MES, and Asset Management, and explore how modern tools are reshaping ERP usability.

🔹 What You’ll Learn:

• Glenn’s 3-part ERP mental model: Master Data, Transactions, Workflow
• The difference between push vs. pull supply chain systems (MRP vs. Lean)
• Why gross margin is the #1 financial metric you need to watch
• How MES and condition monitoring tools integrate with ERP
• Practical advice for engineers navigating digital transformation & MBAs

💡 Perfect for anyone struggling to make sense of their ERP, or looking to modernize their stack without losing their sanity.

📘 Recommended Reading:
 Lessons in Industrial Instrumentation by Tony Kuphaldt – Free online technical resource

👤 Guest:
 Glenn – Chief Product Officer at Waites and co-founder of a new digital transformation consultancy with Dylan Dufrene

🛠️ Sponsored by Talan
Experts in ERP integration across SAP, Microsoft Dynamics, and Oracle
Learn more: https://www.talan.com
Catch Elvis from Talan in Episode 199

📌 Watch all ERP Month episodes: 199, 201, 203, 204
 🔔 Don’t forget to Like, Subscribe & Hit the Bell!

#ERP #Manufacturing #MES #DigitalTransformation #IndustrialAutomation #ManufacturingHub #EngineeringLeadership #SCADA #PlantOperations #Waites #Talan

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Connect with Us

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• Dave Griffith
• Manufacturing Hub
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• Joltek