Manufacturing Hub

Vlad Romanov & Dave Griffith
  • 5.0 (18)
  • TECHNOLOGY
  • UPDATED WEEKLY

We bring you manufacturing news, insights, discuss opportunities, and cutting edge technologies. Our goal is to inform, educate, and inspire leaders and workers in manufacturing, automation, and related fields.

  1. 22H AGO

    Ep. 246 A - Factory of the Future Without the Hype: Siemens on Data Transparency, Orchestration, and Trust in AI

    This episode wraps up our Technology Modernization theme with a Siemens perspective that feels very grounded in what factories are actually dealing with right now. Brian Albrecht and Louis Hughes from the Siemens XD team walk through what they are seeing in the field across brownfield and greenfield conversations, why executives keep asking for industrial AI before the foundations are ready, and what it really takes to turn messy plant data into something you can trust for analytics, operations, and eventually AI enabled workflows. A big thread in this conversation is that modern manufacturing is not blocked by ambition, it is blocked by readiness. Everyone wants faster decisions, fewer surprises, and higher uptime, but the path there usually starts with boring work that is not optional. Data transparency across machine, plant, MES, and cloud layers. A clear definition of what real time actually needs to mean for a given use case. And a plan to contextualize and orchestrate data so that AI does not get fed junk inputs. Brian and Louis explain how they approach those early customer conversations, how workshops turn vision into prioritized use cases, and why trust, pilots, and repeatability matter more than flashy demos when you are working in regulated or high consequence environments. If you have been hearing nonstop AI buzz but you are still wrestling with legacy controls, inconsistent tags, documentation that no one can find, and seven layers of security constraints, this episode is for you. We get into practical use cases like AI vision and anomaly detection, LLMs for tribal knowledge and troubleshooting workflows, and the idea of fast versus slow AI, meaning AI that must act during production versus AI that can analyze after the fact. Timestamps00:00 Welcome and why this episode closes the modernization theme02:10 Meet Brian Albrecht and Louis Hughes from the Siemens XD team05:25 Vertical differences across oil and gas, discrete, and process manufacturing07:50 What executives ask for right now beyond AI, factory of the future and data transparency10:50 Brownfield reality and why most modernization work starts with legacy systems12:30 The AI conversation when foundations are missing, meeting customers where they are15:10 Current AI use cases in manufacturing, downtime, throughput, LLMs, and vision18:10 What it means to be AI ready, data silos, contextualization, and orchestration23:50 Fast versus slow AI and why production time decisions are different from analytics25:30 Edge versus cloud architecture, latency, and where the data should live33:40 Cybersecurity, trust, and why perception can lag behind the technology36:50 Hallucinations, guardrails, and why recommendations usually come before automation51:10 Book recommendations, career advice, and future predictions for industrial AI About the hostsVlad Romanov is an electrical engineer with an MBA from McGill University and over a decade of experience in manufacturing and industrial automation. He has worked across large scale environments including Procter and Gamble, Kraft Heinz, and Post Holdings, and he now leads Joltek, helping manufacturers modernize systems, improve reliability, strengthen IT and OT architecture, and upskill technical teams through practical training and on site enablement. Dave Griffith is the cohost of Manufacturing Hub and an industrial automation practitioner who focuses on how modern technologies translate into real factory outcomes, from controls and data foundations to scalable implementation strategies. About the guestsBrian Albrecht started in electrical engineering and spent about a decade in systems integration in Oklahoma City focused on oil and gas, building SCADA, networking, and automation solutions and leading teams delivering real world projects. He now works with Siemens customers on building relationships and delivering solutions that create measurable value.Louis Hughes has roughly 20 years of manufacturing experience, starting in software development for manufacturing and engineering applications, then moving into solution architecture, services delivery, and experience center leadership. He now leads a smart manufacturing team, bringing a software and systems view into automation conversations focused on solving customer problems, not just deploying tools. Joltek Services - https://www.joltek.com/servicesContact Joltek - https://www.joltek.com/contact Referenced in the episodeProveIt Conference - https://www.proveitconference.com/Siemens - https://www.siemens.com/ Crossing the Chasm by Geoffrey A Moorehttps://en.wikipedia.org/wiki/Crossing_the_Chasm Extreme Ownership by Jocko Willink and Leif Babinhttps://en.wikipedia.org/wiki/Extreme_Ownership

    59 min

  2. 6D AGO

    Ep. 246 - Building a Life Sciences Virtual Factory Enterprise C, MQTT, and UNS w/ Amy Williams

    In this special ProveIt edition of Manufacturing Hub, Vlad Romanoff and Dave Griffith sit down with Amy Williams from Skellig Automation to unpack Enterprise C, a life sciences virtual factory built to look and feel like the reality inside many regulated facilities today. If you work around batch processes, compliance, historian projects, electronic batch records, or industrial data architecture, this conversation is a practical walkthrough of what it actually takes to turn raw signals into a story you can defend, improve, and scale. Amy has spent years working exclusively in life sciences manufacturing, starting deep in DeltaV automation for batch pharma and moving into digital transformation projects that focus on open architectures, modern data pipelines, and real operational outcomes. In this episode, she explains what Enterprise C is simulating, why it was designed as an Industry 3.0 style biotech startup, and what kind of data and documentation a vendor would have to wrestle with in the real world. The factory is producing a fictional enzyme using a fed batch fermentation process, and the UNS publishes realistic one second resolution batch data across four pieces of single use equipment including a mixer, a bioreactor, a chromatography skid, and a TFF skid. One of the most valuable parts of this episode is the reminder that data sitting in an MQTT broker is not inherently valuable. The value comes when the data is contextualized enough that different teams can use it without tribal knowledge, and when the resulting traceability helps you answer the questions that matter in life sciences. What happened during the batch, what changed compared to previous runs, what went out of spec, what documentation proves compliance, and what you should do next time to avoid losing a batch that can cost millions. Amy also explains why Enterprise C intentionally includes uncontextualized tags and paper files, because that is exactly where many facilities still are. The hard part is not connecting a sensor, the hard part is governance, agreement, and building a model that humans actually follow. You will also hear the crew dig into Smart Manufacturing Profiles and why standardizing information models is one of the clearest paths toward true interoperability. If you are tired of every site, every integrator, and every project reinventing the same pump, valve, and equipment model from scratch, this is the kind of conversation that helps frame why that problem keeps repeating and what might finally reduce it. The ProveIt format forces the questions that most conferences avoid, including what problem was solved, how it was done, how long it took, and what it cost. That is exactly why this conference has become a magnet for practitioners who care about the difference between a demo and a deployable solution. About the hostsVlad Romanoff is an industrial automation and manufacturing systems expert and the founder of Joltek. He has over a decade of experience modernizing control systems, data infrastructure, and plant operations across regulated and high throughput manufacturing environments.Dave Griffith is the cohost of Manufacturing Hub and a long time practitioner in industrial automation and manufacturing technology, focused on practical deployment and what actually works on the plant floor. About the guestAmy Williams works with Skellig Automation and has spent years in life sciences manufacturing, from DeltaV batch automation to digital transformation initiatives that focus on open architectures, data contextualization, and scalable modernization strategies. Timestamps 00:00 ProveIt edition intro and why this month is technology modernization 01:40 Who is Amy Williams and why Enterprise C matters this year 02:10 Amy’s background in life sciences, DeltaV, and digital transformation 03:30 Unified Namespace explained in plain language for life sciences 05:10 What Enterprise C publishes and what you will see in the MQTT broker 07:10 Why UNS in life sciences is about use cases, not buzzwords 10:10 Smart Manufacturing Profiles and reducing data model reinvention 11:10 What outcomes to expect including compliance and golden batch analysis 12:10 Enterprise C process overview from mixer to bioreactor to downstream 14:10 Bioreactor instrumentation and what operators still do manually 19:40 Why Enterprise C data is intentionally not contextualized 22:10 The real work of mapping signals to compliance stories and governance 25:10 What SM Profiles enable and why schema matters before data arrives 31:30 Why cost and time questions change everything at ProveIt 36:10 Cell counter files, batch records, and paper driven reality in many sites 45:10 What life sciences attendees should ask during Q and A 58:30 Vendors the team is excited to see and why non traditional players matter 01:02:20 Where to find Skellig at the conference and what they are bringing References and links mentioned Skellig Automation https://www.skellig.com/ ProveIt Conference https://www.proveitconference.com/ CESMII Smart Manufacturing Profiles and Marketplace https://www.cesmii.org/technology/sm-profiles/ https://marketplace.cesmii.net/ Joltek resources related to this episode  Mastering Unified Namespace https://www.joltek.com/blog/mastering-unified-namespace-uns-a-guide-to-data-driven-manufacturing-transformation Ultimate Guide to MQTT in Manufacturing https://www.joltek.com/blog/ultimate-guide-mqtt-manufacturing Subscribe and follow Manufacturing Hub for more conversations on technology modernization, UNS architecture, MQTT, industrial data systems, and how real factories actually evolve when the goal is uptime, compliance, and measurable outcomes.

    1h 5m

  3. FEB 5

    Ep. 245 - Modernizing Manufacturing | Data, OEE, Quality Analytics - Everyone Wants the Same Signals

    In this episode of Manufacturing Hub, Vlad Romanov and Dave Griffith sit down with David for a practical, operator grounded conversation about industrial data, modernization, and what it actually takes to turn plant floor signals into business decisions. David has spent more than two decades in manufacturing across automotive, solar, and electric vehicles, and his story is a familiar one for a lot of us. He walked into a plant thinking he was there for a project, discovered PLCs in real time, and never left the factory world. From early days wiring up a SQL Server to pull line data instead of sending people out with stopwatches, to leading data and analytics and shaping MES and reporting strategy, this conversation stays focused on the messy middle where most factories live. A big theme here is that collecting data is not the same thing as creating information. As tooling has improved, connectivity, historians, SCADA, cloud storage, MQTT, and the modern ecosystem have made it easier to get signals out of machines. The hard part is deciding what matters, aligning stakeholders, and creating context that survives across teams and projects. David breaks down how real progress often starts with simple visibility, what is ruining your day, what is the biggest safety risk, what is the recurring quality miss, what is the downtime story you do not trust, then builds from there using workshops and iterative delivery instead of giant multi year “boil the ocean” programs. We also get into Unified Namespace, why it resonates with people who have been burned by tightly coupled ISA style integrations, and why change management is the hidden cost. If you are exploring UNS, this episode highlights the difference between drawing the box on a whiteboard and getting a whole organization to actually adopt consistent naming, context, and ownership. Then we finish with a grounded take on industrial AI. No hype, no doom. Just a realistic view of where AI helps today, where it breaks, and why context windows, documentation quality, and domain expertise still decide whether results are useful or dangerous. Timestamps00:00:00 Welcome and the month theme on technology modernization00:02:10 David’s background from automotive and the Tesla Fremont NUMMI era to data leadership00:05:10 The moment data became “real” and why proactive visibility drives safety and outcomes00:07:10 How Kaizen and Toyota Production System style problem solving creates demand for data00:11:50 Why modern tooling makes collection easier and why budget and commitment still decide success00:16:10 Starting points that work in the real world and the simplest visibility model that scales00:18:20 Unified Namespace explained through decoupling, context, and why the first attempt often fails00:23:50 Who really uses the data, operators, quality, engineering, and the “next factory” teams00:29:10 Defining KPIs when nobody has answers and using workshops to force prioritization00:34:20 What rollouts actually take, machine states, data structures, controls changes, and iteration00:40:10 Industrial AI reality check, where it helps today and why it is not running your factory00:51:10 Predicting the next few years, consolidation, pricing, and better integration with agents About the hostsVlad Romanov is an industrial automation and manufacturing leader with over a decade of plant floor experience across major manufacturers. He is the founder of Joltek, where he helps teams modernize operations through IT and OT architecture, integration, reliability focused execution, and practical upskilling that actually sticks. Joltek works with manufacturers who need real outcomes, not buzzwords, and the work spans controls, data, networking, and operational performance. Dave Griffith is the co host of Manufacturing Hub and works at the intersection of manufacturing operations, technology modernization, and practical delivery. He focuses on helping teams bridge the gap between “we want data” and “we can run this plant better next quarter.” About the guestDavid has 25 plus years of manufacturing experience spanning automotive, solar manufacturing, and EVs. He started in plant floor automation and conveyance projects, then moved deeper into industrial data, MES, and analytics leadership. His recent work includes leading data and analytics, defining KPI strategy, and building the layers required to turn raw plant signals into usable business information. Links from Joltek https://www.joltek.com/blog/mastering-unified-namespace-uns-a-guide-to-data-driven-manufacturing-transformationhttps://www.joltek.com/blog/ultimate-guide-mqtt-manufacturingSubscribe for more conversations on manufacturing modernization, industrial data architecture, MES realities, and what works on the plant floor when the budget, people, and legacy systems are all real.

    1h 1m

  4. JAN 29

    Ep. 244 - How Modern Plants Actually Bridge Legacy Automation and AI w/ Benson Hougland

    In this episode of Manufacturing Hub, Vlad Romanov and Dave Griffith sit down with Benson Hougland from Opto 22 to get brutally practical about what is actually running on shop floors today, and what it takes to move from legacy automation to modern, data ready operations without breaking what already works. If you have ever walked into a plant and seen a mix of decades old controllers, manual processes, islands of automation, and a few shiny modern pockets of connectivity, this conversation will feel very familiar. Benson has spent roughly three decades at Opto 22 and he has seen the full spectrum, from brownfield realities where nothing can go down, to greenfield expansions where teams can finally design with data, security, and integration in mind. A major thread in this discussion is the gap between “the machine runs” and “the business can learn from the machine.” Benson lays out why so many facilities still operate in a world of siloed equipment with minimal visibility, and why digital transformation stalls when the goal is vague or driven by trend chasing. The most actionable insight is simple: start with a real problem, win small, build trust in the data, and only then scale. That approach is how you avoid proof of concept purgatory, and it is also how you get leadership buy in without overpromising. If you are looking at industrial AI, it becomes even more critical, because manufacturing cannot tolerate hallucinated answers. Benson explains why industrial AI starts with sanctity of data, meaning clean, contextualized, trustworthy signals that an organization can actually act on. You will also hear a grounded take on why hardware still matters in 2026. Not because everyone wants to rip and replace working PLCs, but because modern plants need layered edge strategies that can extract the right data, protect legacy assets, and integrate upward using open methods. About the guestBenson Hougland is a long time leader at Opto 22, a US based manufacturer of industrial controllers, edge devices, and IO. He focuses on customer and integrator feedback, product strategy, and the practical challenges teams face when modernizing systems while keeping operations running. Opto 22 is known for building and manufacturing in the United States and for leaning into open connectivity approaches that help reduce lock in and simplify integration. About the hostsVlad Romanov is an electrical engineer with an MBA from McGill University and over a decade of experience delivering automation and modernization work across high performing manufacturing environments. Through Joltek, Vlad supports manufacturers with plant floor assessments, controls and OT architecture, system modernization planning, integration execution, and technical upskilling so teams can own their systems long term. Vlad’s work consistently sits at the intersection of reliability, operational execution, and the realities of IT and OT convergence, with a focus on what is feasible in real facilities, not just what looks good in a slide deck. Dave Griffith is a long time manufacturing and automation practitioner focused on bridging the gap between modern technology conversations and what is practical on the plant floor. Dave brings a systems mindset to modernization, with a strong emphasis on outcomes, maintainability, and the human factors that decide whether projects scale or stall. If this episode resonates and you are navigating modernization decisions, especially around OT networking, data infrastructure, platform selection, or plant floor security, Joltek can help you evaluate your current state, define a realistic target architecture, and build a roadmap that your team can execute. Joltek linkshttps://www.joltek.com/serviceshttps://www.joltek.com/education/ot-networking-fundamentalsTimestamps00:00:00 Welcome back and the hardware focused modernization theme00:01:40 Benson Hougland background, entrepreneur to controls to Opto 2200:04:10 A garage manufacturing story and the lessons of building real product00:09:00 The gap between cutting edge plants and manual, siloed operations00:11:10 What actually blocks modernization, capital, planning, and alignment00:13:10 Start small, solve a real problem, and build trust in outcomes00:14:40 Proof of concept purgatory and why leadership buy in changes everything00:17:50 Industrial AI needs data, and data integrity becomes the non negotiable00:22:30 Obsolescence, cybersecurity, and simplifying the industrial tech stack00:28:20 Cybersecurity is a process, not a product, and why defaults are deadly00:37:10 Linux at the edge, containers, and why modern controllers are like smartphones00:53:10 ProveIt and the virtual factories approach, real data, real integration paths

    1h 8m

  5. JAN 22

    Ep. 243 - From Legacy Systems to AI Readiness A Realistic Look at Manufacturing Modernization

    Technology modernization in manufacturing is not a list of shiny tools. It is a sequencing problem. In this episode of Manufacturing Hub, Vlad Romanov and Dave Griffith break down why the executive vision for AI often collides with the reality of the plant floor, and what a practical path forward actually looks like when you account for data quality, legacy controls, networking, and the true cost of integration. A core theme in this conversation is imperfect information. Leaders often believe the data already exists because reports exist. But a stack of paper, a few spreadsheets, or a single counter value is not the same as contextualized, trustworthy history that can drive decisions or support advanced analytics. Vlad and Dave walk through why foundational work matters, what teams usually miss during modernization, and how quickly the bill grows when you discover your architecture is outdated, undocumented, or full of dependencies you cannot see until you open panels and start tracing signals. You will also hear a grounded debate on how to think about SCADA, MES, historians, dashboards, and what it would actually mean to “feed data into AI” in a manufacturing context. The takeaway is simple. If you want better outcomes, you need a better understanding of your current state, a clear business case, and a roadmap that prioritizes what matters operationally. Modernization is not one big upgrade. It is a series of decisions that either reduce friction or create it. About the hostsVlad Romanov is an industrial automation and manufacturing expert focused on plant assessments, controls and data architecture, IT and OT integration, and workforce upskilling. Vlad has over 10 years of experience across large manufacturers and complex multi site environments, working from PLC and HMI layers up through SCADA, MES, and ERP integration programs. He is the founder of Joltek, where the mission is to help manufacturers modernize safely, build internal capability, and deliver results that actually survive handoff to operations. Learn more about Joltekhttps://www.joltek.comhttps://www.joltek.com/services Dave Griffith is an industrial automation practitioner and consultant who works closely with manufacturers to modernize legacy environments, improve reliability, and build practical systems that operators and maintenance teams can support. Dave brings a strong perspective on what is feasible in real plants, where uptime, risk, budget, and organizational readiness drive every decision. Timestamps00:00:00 Welcome and why this month is about technology modernization00:02:10 The real problem with “just add AI” in manufacturing00:04:15 Quick background on Vlad and Dave and the work they do00:05:25 The disconnect between the perfect factory vision and the plant floor00:06:25 Vlad on business cases, integration reality, and infrastructure gaps00:09:05 Dave on imperfect information and why reports are not data00:14:35 What executives actually want from AI and why it is often about people constraints00:20:25 How to get there, hardware first, data normalization, and context00:22:05 Vlad on assessments, legacy hardware, and why upgrades get complicated fast00:39:00 New facility planning mistakes and why early decisions lock you in00:45:10 You have the data, now what, OEE baselines, bottlenecks, and root causes00:58:10 Final takeaways, inventory your architecture and treat data like an asset References and links mentioned Manufacturing Hub Podcasthttps://www.manufacturinghub.live ProveIt Conferencehttps://www.proveitconference.com Automate Showhttps://www.automateshow.com Ignition Community Conferencehttps://icc.inductiveautomation.com If you are watching on YouTube, subscribe so you do not miss the rest of this month’s deep dives on hardware, data teams, and practical applications that actually work on real plant floors.

    1h 2m

  6. JAN 15

    Ep. 242 - From Controls to MES Building Manufacturing Systems That Scale Without Breaking Operations

    In this episode of Manufacturing Hub, hosts Vlad Romanov and Dave Griffith welcome back Amos Purdy for a wide ranging conversation that connects plant floor reality with SCADA, MES, and the business decisions that actually fund modernization. Amos shares his path from early software and programming work into industrial automation, including building an industrial automation class and lab, leading MES and SCADA efforts, and working across industries where the pace, constraints, and validation expectations can feel like completely different worlds. If you have ever wondered why a solution that looks obvious on a whiteboard takes months or years to land on a production line, this episode breaks down the human, technical, and financial reasons in plain terms. A big thread throughout the conversation is what it takes to build systems that last. The group digs into hiring and mentoring for Ignition based teams, what backgrounds translate well, and why “hobbyist energy” can be a real superpower in interviews and on the job. The practical takeaway is simple: credentials help you get in the door, but projects help you stand out, especially when you can explain the problem, the architecture, and the tradeoffs you made. The conversation also gets real about legacy plants, where the constraint is often not ambition but risk, ROI, and operational disruption. The group frames modernization as a sequence of targeted moves that improve data availability, reduce cybersecurity exposure, and create a foundation for future applications without betting the entire facility on a massive rip and replace. You will also hear a grounded take on AI in industrial settings. The panel separates what is useful today from what is still hype, and explains why industrial AI needs context, standards, and purpose built training data to be trusted. They connect that to the “data transparency” problem: companies want answers faster, but the hard part is making the data accessible, reliable, and safe in the first place. The episode closes with a discussion on EV and battery manufacturing trends, the reality of global standards and certification, and what the next few years could look like as edge devices, connectivity, and power systems evolve. HostsVlad Romanov is an industrial automation and manufacturing systems expert focused on SCADA, MES, OT data infrastructure, and modernization strategy. He combines electrical engineering depth with an MBA from McGill University to help manufacturers reduce risk, improve reliability, and turn plant data into decision ready information. He leads Joltek, where he delivers assessments, integration roadmaps, and practical upskilling for engineering and operations teams. Dave GriffithManufacturing and automation leader focused on bridging business outcomes with engineering execution, change management, and scalable plant systems. GuestAmos PurdyMBA and electrical engineering background with deep experience across industrial automation, SCADA, MES, and manufacturing intelligence, including leading teams and deployments in both legacy and greenfield environments. Timestamps00:00 Welcome to Manufacturing Hub and why this episode sets up the upcoming modernization theme02:20 Amos Purdy returns and reintroduces his background03:00 From early programming to industrial automation, lab building, and MES leadership09:40 Switching industries and why vertical experience is often overvalued12:40 Hiring and mentoring for Ignition, web skills vs plant floor instincts16:10 AI vs fundamentals, why legacy tech knowledge still matters17:20 Growing teams and how managers should match work to strengths20:10 How candidates stand out, hobby projects and real systems thinking22:50 Technology modernization, data visibility, and cybersecurity as the forcing function31:50 The real bottlenecks, selling ROI, scoping, and avoiding project blowouts37:30 AI readiness in industry, what works today and what is not there yet41:00 EV and battery manufacturing, investment, standards, and what changes on the shop floor50:40 Predictions for the future, edge devices, connectivity, and more data everywhere54:20 Book recommendation and why macro trends matter for engineers56:00 Where to find Amos and what to reach out about References and links mentionedIgnition by Inductive Automationhttps://inductiveautomation.com/ignition Ignition SCADA overviewhttps://inductiveautomation.com/scada-software Inductive University traininghttps://inductiveuniversity.com ProveIt Conference 2026 detailshttps://www.proveitconference.com Edison Motorshttps://www.edisonmotors.ca 2030: How Today’s Biggest Trends Will Collide and Reshape the Future of Everything by Mauro F. Guillénhttps://us.macmillan.com/books/9781250772213/2030howtodaysbiggesttrendswillcollideandreshapethefutureofeverything/ https://www.joltek.com/serviceshttps://www.joltek.com/education/ot-networking-fundamentals

    59 min

  7. JAN 8

    Ep. 241 - Manufacturing in 2026 AI Reality Cybersecurity Data Careers and What Comes Next

    Welcome to Manufacturing Hub and welcome to 2026. In this kickoff episode, Vlad Romanov and Dave Griffith reset the table for the year and share what the show is really about: practical conversations with people who build, run, secure, and modernize manufacturing systems. If you are new here, this is the perfect starting point because we explain the format, the monthly themes, and the reason we keep coming back to the same hard truth: manufacturing improvement is never just about technology. It is also about people, process, incentives, and change. From there, we get into the big question everyone is asking right now: what actually changes in 2026 for manufacturing and industrial automation. We talk about why AI stopped being a novelty and started becoming a permanent part of the landscape, and we separate the hype from the applications that are starting to look real. We discuss where AI helps today, where it still struggles, and why most teams will not get value until they build stronger fundamentals in data collection, context, and operational ownership. We also connect the dots between AI and the pressure it puts on infrastructure, security posture, and decision making, especially when the plant floor reality is still paper logs, tribal knowledge, and inconsistent system documentation. We also cover what we expect to see across the core pillars of the industrial stack: plant floor data and operations, engineering and commissioning workflows, back office analytics, OT cybersecurity, industrial data platforms, and how the systems integration market is evolving as more work moves upward into analytics, architecture, and long term modernization programs. Finally, we zoom out into careers, acquisitions, private equity activity, and what these shifts mean for engineers, leaders, and teams trying to build durable capability instead of chasing the next shiny tool. If you are planning your year, come meet us in person. We will be at ProveIt in Dallas, Texas February 16 to 20. We will also be at Automate in Chicago, Illinois June 22 to 26. And we are expecting to be back at the Ignition Community Conference in Sacramento, California September 22 to 26. Timestamps 00:00 Welcome to 2026 and why we are back 01:00 What Manufacturing Hub covers and how the show is structured 02:35 Meet the hosts Dave Griffith and Vlad Romanov 04:55 Where to meet us in 2026 ProveIt Automate ICC 07:45 The state of manufacturing and what is changing this year 08:35 AI in manufacturing from curiosity to permanence 12:20 Plant floor data reality and why fundamentals still block progress 18:10 AI in engineering and commissioning where it helps and where it can hurt 24:30 Back office work and the real adoption patterns 31:00 OT cybersecurity pressure and why posture work is accelerating 38:10 Industrial data priorities and what to fix before you scale 44:40 Systems integration shifts careers and the ripple effects of acquisitions 1:03:00 Our plans for 2026 1:10:45 Book recommendation and closing thoughts Hosts Vlad Romanov is an electrical engineer and manufacturing consultant focused on industrial automation, modernization, OT data, and IT OT alignment. He runs Joltek and builds educational content for engineers and technical leaders. Dave Griffith has 17 plus years in industrial automation and manufacturing and leads Kaplan Solutions, focused on operational excellence, data systems, and delivering projects that make plant performance visible and actionable. References mentioned How to tackle the AI skills gap, Boston Consulting Group https://www.linkedin.com/pulse/how-tackle-ai-skills-gap-boston-consulting-group-ufzge What’s Next for AI in 2026, MIT Technology Review https://www.technologyreview.com/2026/01/05/1130662/whats-next-for-ai-in-2026/ Getting Naked, Patrick Lencioni https://www.tablegroup.com/product/getting-naked/

    1h 15m

  8. 12/04/2025

    Ep. 236 - How to Deliver Manufacturing Projects That Operations Actually Use

    Handing over a project is one of the most underestimated and misunderstood phases in manufacturing and industrial automation. In this episode of Manufacturing Hub, Vlad and Dave sit down to break apart real stories from the field covering MES rollouts, line commissioning, SCADA and ignition development, operational adoption, and the very real consequences of poor knowledge transfer. Most conversations online focus on the technical build, but very few people emphasize the point where engineering lets go and the operations team becomes the true owner of the system. This episode brings forward examples of both well executed handovers and catastrophic failures that every engineer, integrator, or manager can learn from. Vlad begins by walking through his experience building MES and data collection systems for food and beverage facilities where each plant had different architectures, legacy systems, undocumented networks, and obsolete PLCs. These initiatives required deep assessments, phased modernization, server deployments, KPI development, and the long journey from data collection to actual operational use. The most important insight is that success rarely comes from the technology alone. It comes from the extent to which operators, supervisors, and CI teams are trained, empowered, and aligned to use what has been built. Dave then shares a story from a multi year track and trace project that technically worked but failed at the operational handover stage because the one scheduler refused to schedule inside the system. The entire project was mothballed despite millions of dollars invested. The lesson is simple. Technology cannot compensate for missing stakeholder alignment and poor discovery. Human influence can halt even the most well engineered solution. Timestamps 00:00 Welcome and episode setup 01:20 Host introductions and backgrounds 04:00 Vlad’s MES and data rollout projects across multiple plants 18:10 Biggest wins and failures from MES handovers 26:20 Dave’s chocolate factory MES and traceability project 29:30 The scheduler says no and a multi million project gets mothballed 36:40 Lessons learned about scope creep and realistic timelines 42:00 Vlad’s multimillion packaging line rollouts and OEE based handover 49:20 Internal versus external teams and who really owns change 58:50 Connected workforce at an orange juice plant and knowledge capture 01:15:00 Where project handovers are heading in the next three to five years 01:19:00 Career advice, books, and final thoughts HostsVladimir RomanovFounder of Joltek. Electrical engineer with an MBA from McGill University. More than a decade of experience across Procter and Gamble, Kraft Heinz, Post Holdings, and multiple systems integration roles. Specializes in OT systems, industrial data architecture, MES, SCADA, modernization, and digital transformation. Works with manufacturers to unlock value through data and operational decision support.https://www.joltek.com/team-members/vladimir-romanov Dave GriffithFounder of Kaplan Solutions. Seventeen plus years of experience across aerospace, automation, system integration, MES delivery, and enterprise manufacturing systems. Dave specializes in ignition development, operations consulting, and project delivery frameworks that reduce risk and increase adoption across manufacturing teams. References Mentioned in the EpisodeNever Split The Difference by Chris Vosshttps://www.amazon.com/Never-Split-Difference-Negotiating-Depended/dp/0062407805How To Win Friends and Influence People by Dale Carnegiehttps://www.amazon.com/How-Win-Friends-Influence-People/dp/0671027034Traction by Gino Wickmanhttps://www.amazon.com/Traction-Get-Grip-Your-Business/dp/1936661837The E Myth Revisited by Michael Gerberhttps://www.amazon.com/Myth-Revisited-Small-Businesses-About/dp/0887307280 Understanding Plant NetworksManufacturing Execution SystemsManufacturing Digital Maturity and AssessmentsControl System ModernizationEngineering Project Management EssentialsManufacturing Consulting and Change Management

    1h 31m
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5
out of 5
18 Ratings

About

We bring you manufacturing news, insights, discuss opportunities, and cutting edge technologies. Our goal is to inform, educate, and inspire leaders and workers in manufacturing, automation, and related fields.

Information

  • Creator
    Vlad Romanov & Dave Griffith
  • Years Active
    2020 - 2026
  • Episodes
    234
  • Rating
    Clean
  • Copyright
    © 2026 Vlad Romanov & Dave Griffith
  • Show Website
    Manufacturing Hub

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