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Manufacturing Hub

Vlad Romanov & Dave Griffith
Manufacturing Hub
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  • Ep. 233 - From Controls to Full-Scale Robotics Integration How Bright IA Leads in Automation
    In this episode of Manufacturing Hub, hosts Vladimir Romanov and Dave Griffith sit down with Davide (David) Pascucci, founder of Bright IA (https://brightiatx.com/), for an in-depth conversation about what it truly takes to build, grow, and succeed in the world of robotics integration and industrial automation.Davide shares his incredible journey from Italy’s oil and gas sector to leading one of Texas’s most promising automation firms. His story highlights the reality of moving from traditional controls work to full-scale robotics integration. Listeners will learn how his company evolved from small local projects into complex manufacturing solutions involving welding cells, painting robots, and palletizing systems used across multiple industries including food and beverage, fabrication, and renewables.The discussion explores how system integrators can strategically position themselves in the modern automation ecosystem. Davide explains the importance of vendor relationships, revealing how open collaboration with companies like Fanuc and KUKA helped his firm grow while avoiding common pitfalls faced by new integrators. He provides practical insights into how to evaluate robot brands, manage the mechanical design and safety aspects of projects, and find the right balance between in-house engineering and subcontracting work.Listeners will also hear a detailed perspective on the Texas manufacturing landscape, where oil and gas still dominate but are now accompanied by a new wave of innovation from defense, aerospace, semiconductor, and AI-driven industries. Davide explains how these shifts are creating a demand for flexible automation and robotics expertise across the region.A large portion of the conversation focuses on the real-world challenges that come with integrating robots on the factory floor. Davide talks about dealing with customers who insist on collaborative robots when industrial robots are better suited for the job. He describes how simulation and digital twin tools can help demonstrate cycle times and prove system capabilities before implementation. His transparency about pricing, quoting, and project management makes this a must-listen episode for anyone looking to understand the business side of integration, not just the technical aspects.The episode also explores how smaller robotics firms can collaborate with European and Asian OEMs that are entering the North American market. Davide shares the lessons he learned when working with foreign manufacturers, emphasizing that support, spare parts, and local presence are often more valuable than price alone. His advice is invaluable for early-stage integrators trying to evaluate new partnerships or decide which technologies to adopt.As the conversation continues, Davide, Vlad, and Dave discuss what the future holds for robotics integration. Davide predicts an explosion of applications over the next few years, driven by manufacturing reshoring, labor shortages, and advancements in AI and simulation. He believes that companies who fail to automate will simply be left behind. His message to manufacturers is clear: whether you like it or not, automation will be necessary to stay competitive.Listeners will also appreciate Davide’s insights into workforce development and training. He believes that plant operators and technicians must reskill to remain relevant in a world where machines are becoming smarter and more autonomous. He shares inspiring stories of training shop floor workers to operate robots with confidence and how empowering end users ultimately makes integration projects more successful and sustainable.Toward the end of the episode, the group reflects on what it means to build a modern systems integration business. Davide shares lessons on quoting, scaling a team, developing repeatable processes, and thinking strategically about products versus projects. His perspective highlights the difference between being a contractor and building a true business that can scale and create long-term value.Finally, the conversation closes with book recommendations that have shaped Davide’s thinking, including Extreme Ownership by Jocko Willink, Buy Back Your Time by Dan Martell, and of course, the timeless lessons found in The Bible. These selections capture the mindset of a leader who believes in responsibility, efficiency, and personal growth.If you are an engineer, systems integrator, plant manager, or decision-maker in manufacturing, this episode will give you a firsthand look into the future of robotics integration. It will help you understand how to evaluate partners, manage projects, and prepare your organization for the next generation of automation.Timestamps00:00 Introduction and overview of the Systems Integrator theme 03:00 Davide’s journey from Italy to Texas and his shift from oil and gas to robotics 06:00 How Automation Stars of Texas was created and what the event represents 07:30 The Texas manufacturing ecosystem and opportunities in automation 10:00 Transitioning from traditional controls work to robotics integration 12:00 The learning curve of programming robots and managing motion systems 16:00 Deciding when to specialize versus subcontracting mechanical and electrical work 19:00 Lessons from growing Bright IA and balancing costs, scope, and risk 21:00 Building strong relationships with robot manufacturers such as Fanuc and KUKA 26:00 The importance of vendor support and collaboration for small integrators 29:00 Managing CAD and mechanical design in robotics projects 33:00 The reality of collaborative robots compared to industrial robots 36:00 Evaluating low-cost robotic arms and the trade-offs of price versus support 41:00 How simulation and digital twins improve quoting and validation 48:00 Why some robotics projects fail and how to recover or redesign them 52:00 Working with European and Asian OEMs and lessons in market adaptation 58:00 Advice for new integrators on partnerships, quoting, and strategy 01:04:00 Predicting the future of robotics and automation in the next three years 01:07:00 Career advice for engineers looking to transition into robotics 01:11:00 Book recommendations and leadership lessons 01:13:00 Davide’s vision for new robotic product development and AI applicationsBooks Mentioned Extreme Ownership – Jocko Willink and Leif Babin Buy Back Your Time – Dan Martell The BibleGuest Davide (David) Pascucci Founder and President, Bright IA Website: https://brightiatx.com/ LinkedIn: https://www.linkedin.com/in/davidepascucci/Bright IA is an automation and robotics integration firm based in Texas, providing complete engineering solutions for manufacturing environments, including welding systems, palletizing, safety integration, and industrial control design.Hosts Vladimir Romanov – Founder of Joltek (https://www.joltek.com), Electrical Engineer, Consultant, and Co-Host of Manufacturing Hub Dave Griffith – Founder of Dave Griffith C...
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  • Ep. 232 - Future of Automation with Siemens: Industrial AI, Virtual PLCs, and Digital Twin Factories
    At Automate 2025, Vlad and Dave take Manufacturing Hub inside the Siemens booth to explore how one of the world’s largest industrial technology companies is shaping the future of manufacturing. From the latest S7-1200 G2 PLC to industrial copilots powered by AI, digital twins that simulate entire factories, and virtual PLCs redefining automation, this episode is packed with insights from Siemens leaders and engineers.In this conversation series, we uncover the evolution of hardware, software, and data-driven manufacturing with experts including Chris Stevens and Anna-Marie Breu on customer experience and digital twins, Bernd Raithel on software-defined automation and IT/OT convergence, Louis Narvaez on the next-generation S7-1200 G2 PLC, Kristen Sanderson on Industrial Copilot and AI agents, Sarah McGee on Sematic AX and modern PLC programming, Kevin Wu on Pick AI Pro, Ivan Hernandez on the G220 drives, and cybersecurity specialists Tilo and Gaurav on securing industrial networks.Throughout the episode, Vlad and Dave discuss how Siemens is transforming plant operations through tools that connect the physical and digital worlds. Topics include co-pilots for engineering and operations, lifecycle management, virtual commissioning, edge computing, harmonics and clean power, and the convergence of IT and OT teams.This conversation is a must-watch for engineers, integrators, plant managers, and decision-makers looking to understand how software-defined automation, AI, and digital twin technologies are merging to create resilient, data-driven factories.Timestamps:00:00 Siemens at Automate 2025 introduction02:45 Defining manufacturing resilience and digital twins09:32 Virtual commissioning and collaborative engineering environments15:10 Adoption of digital twins in small and medium manufacturers22:35 Co-pilots and natural language interaction in industrial systems30:28 Automation lifecycle management and version control for PLCs36:55 Virtual PLCs, software-defined automation, and IT/OT collaboration46:40 The new Siemens S7-1200 G2 PLC and migration from G157:20 AI copilots, agents, and secure Siemens cloud infrastructure1:08:05 Somatic AX and modern PLC programming for new engineers1:17:25 Pick AI Pro and real-world robotic vision applications1:29:10 G220 drives and clean power innovations1:35:45 Industrial cybersecurity and vulnerability management1:43:00 Cinemeric Run My Robot and CNC-robot collaboration1:50:20 Final reflections on Siemens innovation and future trendsReferences Mentioned:Siemens Digital IndustriesSiemens Industrial Edge Developer KitS7-1200 G2 InformationSematic AXIndustrial CopilotCinematic Run My RobotPick AI ProSiemens G220 DrivesCybersecurity SolutionsManufacturing HubModern Plant Network Requirements: Building Reliable and Connected OT Systems for ManufacturingAbout the Hosts:Vlad Romanov is an electrical engineer and manufacturing systems consultant with over a decade of experience modernizing plants and integrating SCADA, MES, and automation systems. He is the founder of Joltek and co-founder of SolisPLC, creating content that educates professionals in industrial automation.Dave Griffith is a manufacturing consultant and co-host of the Manufacturing Hub podcast, helping manufacturers navigate digital transformation, technology adoption, and operational excellence.
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  • Ep. 222 - Pick AI Pro with Kevin Wu | Faster Picking, Higher Reliability, Digital Twin and Vision AI
    Modern robotic picking is moving beyond neat rows and perfect lighting conditions. In this Automate 2025 conversation, Vlad and Dave sit down with Kevin Wu from Siemens to explore how Simatic Robot Pick AI Pro is tackling the messy reality of warehouses and factories. They discuss how the new edge architecture with the Simatic IPC BX 59 A and an NVIDIA GPU lifts pick rates to well over one thousand picks per hour, why multiple suction patterns matter for stability on large or flexible items, how camera agnostic support opens the door to new vision hardware, and why transparent objects are no longer a limitation in many applications.This episode also dives into digital thread and digital twin workflows using Siemens Process Simulate. These tools allow teams to test new products and layouts virtually before any hardware changes are made, helping reduce commissioning risk and shorten the path to production. The discussion highlights an on-booth demonstration that combines a robot with a secondary camera and a vision language model to identify products and read packaging details such as expiration dates. It is a clear example of how multimodal AI can complement traditional industrial vision systems.A major theme throughout this conversation is resilience. In real operations, products are rarely placed perfectly. Pallets shift, orientations vary, and lighting changes throughout the day. Traditional rules-based vision systems often struggle when small variances accumulate. Kevin explains how model-free 3D picking localizes unknown objects in clutter, selects stable suction patterns based on measured dimensions, and keeps production moving without forcing operators to maintain perfect alignment.For manufacturers in consumer packaged goods and medical devices, this is a meaningful advancement. It enables greater product variety and frequent SKU changes while maintaining engineering control. The difference is that the picking logic adapts to what the system sees rather than expecting the environment to remain static.We also talk about practical evaluation and proof of concept. Siemens runs application testing at its Berkeley, California lab where customers can send sample parts for quick feasibility checks. A short video of their parts being picked can provide the confidence needed to move forward with a pilot project while minimizing cost and risk. For quality inspection and defect detection, Siemens also offers an Inspector station capable of learning from as few as twenty samples to identify defects in real time.The discussion closes by looking at the future of digital manufacturing. Digital thread tools make it possible to simulate robots from multiple brands, test new configurations, and evaluate throughput virtually. Combined with edge AI and NVIDIA vision language technology, this creates faster experimentation cycles, improved reliability, and measurable gains in uptime and throughput.Kevin’s key message is clear. Manufacturers do not need to replace existing automation to explore the benefits of AI. Start with one process, validate performance, and build from there.Timestamps 00:00 Welcome and why real-world picking matters 00:40 Introduction to Pick AI Pro and new throughput capabilities 01:30 Multi suction patterns for stable handling of large items 02:20 Camera agnostic approach and transparent object handling 03:30 Selecting components for high-temperature environments 04:15 Use cases in consumer packaged goods and medical applications 06:45 Digital twin and digital thread with Siemens Process Simulate 08:30 Feasibility testing and customer demos at the Siemens lab 10:30 Vision language model for product identification and labeling 12:10 Evaluating with real parts and rapid testing cycles 14:20 Siemens Inspector for defect detection and visual inspection 15:40 Key takeaways and future outlookReferences and Resources Mentioned Siemens Simatic Robot Pick AI Overview https://www.siemens.com/global/en/products/automation/topic-areas/tia/future-topics/simatic-robotics-ai.htmlSiemens Press Release on Simatic Robot Pick AI Pro https://press.siemens.com/global/en/pressrelease/siemens-presents-future-intralogistics-simatic-robot-pick-ai-pro-enables-machineSiemens Simatic IPC BX 59 A Industrial Edge Device with NVIDIA GPU https://www.automationworld.com/products/data/product/55287446/siemens-ag-siemens-simatic-ipc-bx-59a-industrial-edge-deviceSiemens IPC BX 59 A Operating Instructions https://support.industry.siemens.com/cs/attachments/109972660/ipcbx56a_and_ipcbx59a_operating_instructions_enUS_en-US.pdfUniversal Robots Example with Simatic Robot Pick AI https://support.industry.siemens.com/cs/document/109822788/simatic-robot-pick-ai-with-universal-robots-ur5Zivid Transparent Object Imaging Information https://www.zivid.com/zivid-omni-engine-transparency https://blog.zivid.com/zivid-omni-engineSiemens Digital Thread Overview and Tecnomatix Process Simulate https://www.sw.siemens.com/en-US/digital-thread/ https://plm.sw.siemens.com/en-US/tecnomatix/NVIDIA Vision Language Model Resources https://docs.nvidia.com/nim/vision-language-models/latest/introduction.html https://developer.nvidia.com/blog/vision-language-model-prompt-engineering-guide-for-image-and-video-understanding/Hosts Vlad Romanov is an electrical engineer and manufacturing consultant who leads Joltek and co-hosts the Manufacturing Hub Podcast. He focuses on practical strategies for SCADA, MES, and data-driven operations. Learn more at https://www.joltek.comYouTube Channel https://www.youtube.com/channel/UC6JpBeS_6JhUwfGF8RgLCIQDave Griffith is a manufacturing consultant and long-time co-host of Manufacturing Hub. He helps teams align operations, engineering, and leadership around the projects that move the needle in real production environments.Guest Kevin Wu from Siemens discusses Robot Pick AI Pro and related digital thread workflows across robotics and vision. Learn more about Siemens automation and software at https://www.siemens.com https://www.sw.siemens.com
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  • Ep. 231 - Travis Cox on Ignition 8.3 | ICC 2025 Highlights and the Future of Industrial Software
    ICC 2025 was a clear level up for the Ignition community. In this conversation Vlad and Dave share on the ground insights from a week of packed sessions, vendor showcases, and ProveIt demonstrations that brought working integrations to life. They unpack why the move to a larger venue created more chances for deep technical conversations, how the community benefited from hands on demos that connected to a shared data backbone, and what record attendance means for the growth of modern SCADA and manufacturing data platforms. The episode then shifts into a focused discussion with Travis Cox from Inductive Automation on the launch of Ignition 8.3 and what it unlocks for builders who care about reliability, scale, and speed.We discuss how 8.3’s configuration in the file system and the expanded REST API enable real version control and DevOps workflows in day to day projects. We explore practical AI opportunities through MCP servers that can safely expose context and operational data to large language models, with an emphasis on operator augmentation, faster troubleshooting, and responsible guardrails. We connect the dots between OT networking fundamentals and secure architectures by highlighting the growing need for segmentation, deterministic traffic, and resilient data movement. Throughout the episode we keep the focus on what matters in plants today clear outcomes for uptime, quality, and delivery rather than hype.Whether you are an engineer, integrator, or an operations leader, this episode gives you an actionable snapshot of where Ignition and the broader ecosystem are heading. You will hear what the community is building, which 8.3 features are worth testing first, how ProveIt style showcases help end users evaluate technologies, and why investing in networking skills remains one of the highest ROI moves for manufacturers.Timestamps00:00 Welcome and ICC traditions with stickers and community shoutouts01:25 What to expect today and why this episode includes a sit down with Travis02:30 First impressions of ICC 2025 tracks vendor hall and ProveIt showcases05:55 New Sacramento venue experience and why more space improved conversations07:25 Walk up tickets record attendance and what that signals about growth08:45 Why hands on ProveIt demos mattered for real integrations and learning12:05 Ignition 8.3 launch and what we will cover in more depth later this month13:25 AI themes across sessions and realistic use cases for builders and operators16:20 Why OT networking education is now a must have skill set18:05 DataOps and DevOps directions in Ignition 8.3 and what to trial first23:10 Travis Cox joins with ICC takeaways and how community scale changes the game28:35 Ignition 8.3 highlights configuration in files REST API and version control workflowsAbout the hostsVlad Romanov manufacturing modernization and data strategy consultant co host of Manufacturing Hub and founder of JoltekLinkedIn https://www.linkedin.com/in/vladromanovJoltek https://www.joltek.comDave Griffith operations and digital transformation consultant co host of Manufacturing HubLinkedIn https://www.linkedin.com/in/davegriffith23Website https://dave-griffith.comGuestTravis Cox Chief Evangelist at Inductive AutomationLinkedIn https://www.linkedin.com/in/traviscox-automationInductive Automation https://inductiveautomation.comEpisode references and resourcesIgnition 8.3 What is new https://inductiveautomation.com/ignition/whatsnewIgnition User Manual 8.3 docs and upgrade guidance https://www.docs.inductiveautomation.comDownload Ignition free trial https://inductiveautomation.com/downloadsInductive University free Ignition training https://inductiveuniversity.comICC 2025 recap https://inductiveautomation.com/blog/icc-2025-recap-we-really-did-level-up-this-yearControl Global highlights from ICC 2025 https://www.controlglobal.com/industry-news/news/55321625/highlights-from-inductive-automations-2025-icc-build-a-thon-and-award-winnersProveIt Conference official site https://www.proveitconference.comProveIt at ICC background https://inductiveautomation.com/blog/proveit-showcases-are-coming-to-icc-2025Books and learning mentioned or implied in the discussionNetworking and cybersecurity training via Inductive University https://inductiveuniversity.comIgnition 8.3 videos and feature overviews https://www.youtube.com/watch?v=Qds7RI9-hxgConnect with Manufacturing HubApple Podcasts https://podcasts.apple.com/us/podcast/manufacturing-hub/id1546805573Spotify https://open.spotify.com/show/1gE6glbxdYIfG6KUeOCz22Call to actionIf you attended ICC this year or tested Ignition 8.3 in your environment, share your lessons in the comments. Tell us which features you want us to deep dive next and what ProveIt demonstrations helped you make decisions in your own stack. Subscribe for weekly conversations with practitioners who build real systems in real factories.
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  • Ep. 230 - AI in Manufacturing with Tom Hechtman of Sepasoft | Real ROI, MES on Ignition, Sepa IQ
    Artificial intelligence is no longer just a buzzword in manufacturing. The pace of adoption has been incredible, yet the reality is far more complex than flashy headlines suggest. In this episode of Manufacturing Hub, Vlad Romanov and Dave Griffith welcome back Tom Hechtman, founder of Sepasoft, to explore how AI is actually being deployed on the plant floor, what barriers remain, and whether we are truly transforming manufacturing or simply tinkering at the edges.Tom brings decades of experience building MES solutions for manufacturers around the globe. From his early days in the Midwest working with Rockwell Automation technology to launching Sepasoft’s Ignition MES modules and now leading the development of Sepa IQ, Tom has been at the forefront of data, analytics, and system integration. His insights bridge the gap between hype and practice, helping us understand where AI creates real ROI, where it still falls short, and how to build the foundations for success.Throughout the conversation we dive into the challenges of quality improvement, predictive maintenance, scheduling optimization, and contextualizing plant data. We discuss the importance of trust in both data and AI-generated outputs, the economics of running LLMs and machine learning models, and why cybersecurity and data governance cannot be an afterthought. Drawing on the recent MIT study that revealed only 5 percent of AI projects make a measurable P&L impact, Tom helps us unpack what manufacturers need to do differently if they want to avoid being part of the 95 percent that fail.We also get an update on Sepa IQ and how customers are using it to connect plant floor data, structure it for AI and analytics, and prepare for advanced scheduling and predictive tools. From lessons learned working with early adopters to practical advice on starting small, Tom makes it clear that manufacturing AI is a journey that requires technical expertise, domain knowledge, and cultural change.Whether you are an executive evaluating AI investments, a controls engineer curious about new tools, or a plant manager wondering how to get real results, this episode delivers a balanced, practical, and in-depth perspective on the future of AI in manufacturing.Timestamps 00:00 Introduction and AI in every manufacturing conversation 03:00 Tom Hechtman background and the origins of Sepasoft 05:00 MES modules, batch processing, and the evolution of Sepa IQ 08:00 Defining manufacturing AI and the role of plant floor data 13:00 Quality improvement and predictive analytics opportunities 20:00 Foundational challenges with legacy systems and data collection 24:00 Insights from the MIT study on AI adoption and ROI 32:00 Training data, context windows, and the economics of LLMs 44:00 Sepa IQ customer feedback and scheduling optimization 50:00 Trust, hallucinations, and cybersecurity considerations 59:00 ICC announcements, demos, and proof of concept program 1:03:00 Predictions for AI in manufacturing and career adviceReferences mentioned in the episode MIT study on AI in business: https://mitsloan.mit.edu/ideas-made-to-matter/how-to-get-ai-to-pay-off Sepasoft Blog on AI and manufacturing: https://sepasoft.com/blog/ The One Thing by Gary Keller: https://www.the1thing.com/About the guest Tom Hechtman is the founder of Sepasoft, a leading provider of MES modules for the Ignition platform by Inductive Automation. With decades of experience in manufacturing, integration, and software development, Tom has helped companies worldwide improve efficiency, quality, and data visibility. Learn more at https://sepasoft.com/ and connect with Tom on LinkedIn: https://www.linkedin.com/in/tom-hechtman-32b6b66/About the hosts Vlad Romanov is the founder of Joltek, a consulting and integration firm focused on helping manufacturers modernize systems, bridge IT and OT, and drive digital transformation. Learn more at https://www.joltek.com/ and connect on LinkedIn: https://www.linkedin.com/in/vladromanov/Dave Griffith is an industrial automation consultant and co-host of Manufacturing Hub. He works with manufacturers and integrators to identify opportunities, manage digital projects, and build future-ready operations. Connect with Dave on LinkedIn: https://www.linkedin.com/in/davegriffith/If you enjoyed this conversation, make sure to subscribe to Manufacturing Hub for more weekly discussions with industry leaders about automation, digital transformation, and the evolving world of manufacturing.
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