Stay Sharp in Digital Engineering

Razorleaf Corp.
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Welcome to 'Stay Sharp in Digital Engineering,' the ultimate podcast for all things digital in the manufacturing industry by Razorleaf. Join us as we take a deep dive into the multifaceted world of digital transformation, exploring topics such as the digital thread, digital twins, IDEs, model-based strategies and delving into the frontiers of cutting-edge technologies like PLM, MES, Integration, and more. Our expert hosts, Jonathan Scott, Jen Ferello, Juliann Grant, and Eric Doubell, will be your guides, providing valuable insights, captivating interviews, and the latest industry updates to ensure you remain at the forefront of the ever-evolving digital landscape. Whether you're a technology enthusiast, a business leader, or simply curious about the digital realm in manufacturing, this podcast is your essential resource for staying sharp and well-informed.

  1. قبل يومين

    #132: Event Wrap Up - CIMdata Market and Industry Conference 2026

    Is AI coming for PLM or saving it?  This week on Stay Sharp in Digital Engineering, hosts Juliann Grant and Jonathan Scott are joined by special guest Ashish Kulkarni, Senior PLM Leader at Razorleaf International (Netherlands), for a dual-continent recap of CIMdata's Annual Market and Industry Conference — held simultaneously in Ann Arbor, Michigan, and Paris, France. Between them, the three cover the global PLM market data, the AI conversation dominating the industry, vendor vs. buyer disconnects, and what it all means if you work in digital engineering, PLM, or manufacturing technology. Key Takeaways: The global PLM market grew 8.7% to $87.3 billion — strong, but below the 9.3% forecastTop PLM investment priorities have shifted: knowledge management, global collaboration, and configurability are now leading over traditional part and BOM managementThe percentage of respondents saying PLM has "run its course" jumped from 22% in 2025 to 55% in 2026 — a striking shift in market sentimentAI is not replacing PLM — yet. But the question is now being asked openly, especially in EuropeArchitecture/Engineering/Construction (AEC) and Electronic Design Automation (EDA) were the surprise growth leaders, with AEC growth well above forecastCIMdata recategorized how it reports the market: moving from CPDM to "Product Innovation Platforms," with new scrutiny on how tools vs. platforms are classifiedSI/VAR growth significantly missed forecast (7.5% vs. 12.6% predicted) — reasons remain unclearA "fluency-deployment divide" is emerging end users are experimenting with AI tools like ChatGPT, but in-house enterprise AI deployments in PLM are still very earlyVendors are racing to embed AI capabilities; buyers are moving slower and prioritizing data readiness firstFear factors around AI — "your data has to be perfect before you can use it" — are being actively addressed by presenters like Diego TamburiniAbout Our Guest Ashish Kulkarni is a Senior PLM Leader at Razorleaf International, based in the Netherlands. With over 23 years of experience driving enterprise-scale digital transformation across Europe and 15+ years in PLM (including ENOVIA), Ashish has led strategic growth across Europe and the Mediterranean region. He was instrumental in building and growing the Razorleaf India office. Resources & References CIMdata Annual PLM Market and Industry Conference (Ann Arbor, MI and Paris, France)CIMdata PLM Market Report — official publication expected May 2025CIMdata PLM Roadmap and PDT Conference — May (North America) and Fall (Sweden) Diego Tamburini — previous Stay Sharp episodes on Strategic Patterns for Implementing AI in Manufacturing and The AI Reality Gap – What You Need to Know Before Building at Scale.Topics mentioned: Music is considered “royalty-free” and discovered on Story Blocks. Technical Podcast Support by Jon Keur at Wayfare Recording Co. © 2024 Razorleaf Corp. All Rights Reserved.

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  2. ١٤ أبريل

    #131: The AI Reality Gap: What You Need to Know Before Building at Scale

    Build, Buy or Wait, Navigating the AI Implementation Stack  Is your company ready to build its own AI solution?  In this episode of Stay Sharp in Digital Engineering, hosts Juliann Grant and Jonathan Scott welcome back Dr. Diego Tamburini — executive consultant and AI practice lead at CIMdata — for a deep dive into what it actually takes to move from AI experimentation to production-ready deployment in manufacturing and engineering organizations. Diego brings 25+ years of experience across PLM, CAD/CAM, digital manufacturing, and AI strategy, with past roles at Microsoft, Autodesk, and Siemens Digital Industry Software. In this episode, he cuts through the noise to give you a practical, honest look at the AI build-vs-buy landscape. What You'll Learn: The difference between AI workflows and true agentic AI — and why conflating the two leads to bad decisionsThe full spectrum of AI implementation options: from fully embedded vendor tools to building from scratch in PythonWhen it makes sense to use low-code/no-code platforms (like Microsoft Copilot Studio or Amazon Bedrock) vs. full custom developmentWhy subject matter experts — not just developers — are becoming the key builders of AI agentsHow the digital thread concept is getting new life in the AI era and why it matters for cross-system reasoningThe "make, buy, or wait" framework for prioritizing AI initiatives wiselyThe traceability and privilege elevation challenges that regulated industries must address in agentic AIWhat skill sets organizations actually need at each level of AI implementationGuest: Dr. Diego Tamburini Executive Consultant, AI Practice Lead at CIMdata, Former Director of Engineering Agility at Microsoft, Former Design & Manufacturing Strategist at Autodesk  Connect with Diego for AI strategy consulting through CIMdata Related Episode - Give it a Listen! #125 : Strategic Patterns for Implementing AI in Manufacturing Connect & Subscribe Have a question, topic idea, or guest suggestion? Reach out anytime at podcast@razorleaf.com. 🎧 Subscribe on your favorite podcast platform so you never miss an episode — and if this was valuable, leave us a review or share it with a colleague navigating the AI landscape in their organization. Music is considered “royalty-free” and discovered on Story Blocks. Technical Podcast Support by Jon Keur at Wayfare Recording Co. © 2024 Razorleaf Corp. All Rights Reserved.

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  3. ٧ أبريل

    #130: How Product Data Management Was Born — And What It Means for AI Today

    The man who helped name an industry sits down with Stay Sharp in Digital Engineering to trace the winding path from Product Data Management's humble origins to today's AI ambitions — and delivers a blunt warning: fix your data integration first, or AI will fail you. About This Episode Brion Carroll, CEO/Principal Consultant at Digital Solution Group, is not just a PLM practitioner — he's one of the people who built the very first PDM system and coined the category name. In this episode, Brion joins Juliann Grant and Jonathan Scott for a rare firsthand account of how product data management came to be, how it evolved into PLM, and why decades later, the industry is still wrestling with the same fundamental challenge: getting data to flow across systems. Whether you're deep in a PLM implementation or just starting to think about your AI strategy, this episode is a grounding, practical reality check you won't want to miss. Key Takeaways PDM was born as a defensive move — Computer Vision built it to protect its CAD customer base from competitors, not to transform the industryThe first PDM system sold for $1 million per seat and handled only four functions: backup/recovery, revision control, access/security, and archive/restorePortability was a watershed moment — Brion famously declared from a conference stage that their product would run equivalently across three competing operating systems, and delivered on it in six monthsThe evolution from PDM to PLM wasn't a grand vision — it was vendors needing new features to sell, starting with workflow engines to manage product lifecycle stagesWeb technologies (Java, JavaScript, TCP/IP) democratized access and pushed the shift toward client-server and eventually true cloud architecturesToday's AI problem is yesterday's integration problem — AI applied inside a silo gives narrow insight; real business intelligence requires harmonized data flowing across all systems~4% of AI initiatives have yielded measurable value (per BCG research cited in the episode), and Brion argues dirty, siloed data is the reason why What We Discuss Brion takes us back to the mid-1980s and Computer Vision's "Project David" — the small team tasked with building a data management system to protect the company's installed CAD base. From there, the conversation moves through the birth of the PDM category name, the wild competitive landscape of early vendors (Sherpa, Workgroup Technology, CDC), and the technical leap of making software portable across VMS, Unix, and IBM VM/CMS environments. We then trace the shift to PLM — why workflow management changed everything, how web technology opened the door to broader connectivity, and how the retail industry became an unlikely early adopter of enterprise PLM. The conversation closes with a clear-eyed look at today's AI landscape and why Brion believes companies that skip the hard work of data integration will find AI disappointing at best and damaging at worst. Guest Resources Brion Carroll— CEO & Principal Consultant, Digital Solution GroupWebsite:digitalsolutiongroup.netEnjoyed This Episode? Leave a review, drop a comment, or share this episode. Reach out anytime at podcast@razorleaf.com. 👉 Subscribe and never miss an episode — and don't forget to Stay Sharp Music is considered “royalty-free” and discovered on Story Blocks. Technical Podcast Support by Jon Keur at Wayfare Recording Co. © 2024 Razorleaf Corp. All Rights Reserved.

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  4. ٣١ مارس

    #129: 2026 ENOVIA User Conference Wrap Up

    PLM Is Changing Fast: AI, Cloud & 3DEXPERIENCE Insights from ENOVIA 2026 What’s really happening with PLM, AI, and cloud adoption right now? In this episode of Stay Sharp in Digital Engineering, hosts Juliann Grant and Jonathan Scott, with their Razorleaf colleagues, François Schlub and Andrew Halley, break down the biggest takeaways from the ENOVIA User Conference 2026, hosted by Dassault Systèmes in Boston. From AI-powered virtual twins to cloud migration strategies and digital thread integration, this conversation goes beyond the keynote hype to share what real users, engineers, and manufacturers are actually experiencing today. 👉 If you're working in product development, engineering, manufacturing, or PLM—this is what you need to know. 🔑 What You’ll Learn Why cloud migration is now a “how,” not “if” decision How AI is shaping the future of PLM (and what’s still missing) Why integration—not tools—is the biggest challenge What companies like Ford Motor Company are doing to move faster The growing gap between PLM beginners and advanced users Why organizational change management is critical to success 🧠 Key Topics Covered 3DEXPERIENCE platform strategy and roadmap AI scalability and compute requirements Digital thread and system integration (ERP, MES, more) Supply chain collaboration and cloud adoption Real-world user stories from global manufacturers If you found this helpful: 👍 Like the video 💬 Share your perspective in the comments 🔔 Subscribe for more insights on digital engineering, PLM, and AI Music is considered “royalty-free” and discovered on Story Blocks. Technical Podcast Support by Jon Keur at Wayfare Recording Co. © 2024 Razorleaf Corp. All Rights Reserved.

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  5. ٢٤ مارس

    #128: Business Digital Twins: Modeling for Resilience and Growth

    What happens when you take the digital twin concept beyond products and factories, and apply it to your entire business? In this eye-opening episode, we sit down with John Biagioni, President of Lampin Corporation and a leader with experience ranging from machinist to a billion-dollar company executive. John joins hosts Juliann Grant and Jonathan Scott to explore how a business-level digital twin can drive smarter, more resilient decisions across finance, operations, and customer relationships. From using value stream mapping as a foundational building block to integrating real-time IoT sensing for continuous calibration, John shares the practical steps any company, big or small, can take to build models that deliver true competitive advantage. Key Takeaways:  Why You Need a Business Digital TwinBeyond Survivability: The model is not just for business continuity; it's also a tool for understanding how your business can thrive by layering financial modeling (leverage, bull/bear cases) on top of operational inputs and outputs.The Power of Iteration: The difference between a static "virtual twin" and an active "digital twin" is continuous iteration and calibration with live data (like IoT sensing) to reflect real-world performance.Stakeholder Trust: The digital twin is a relationship tool, building trust with your employees, board, and customers by providing confident, data-backed answers to complex questions about capacity, lead times, and financial performance.Resilience Over Efficiency: In a post-pandemic supply chain world, the core value of a business digital twin is not just efficiency but the resilience it provides against unforeseen disruptions. Thank you for joining us on Stay Sharp in Digital Engineering! If you enjoyed this conversation, please take a moment to like, share, and subscribe to our podcast. Got a question for John or the hosts? Send us a note at podcast@razorleaf.com or leave a comment on our post! Music is considered “royalty-free” and discovered on Story Blocks. Technical Podcast Support by Jon Keur at Wayfare Recording Co. © 2024 Razorleaf Corp. All Rights Reserved.

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  6. ١٧ مارس

    #127: Boxes on the Plane: Lessons from a PDM Migration to PLM

    What happens when a company does everything you can do to a private jet - except build one from scratch? Aaron Lane has spent 25+ years at Duncan Aviation, navigating a PLM journey that went from literal paper boxes loaded onto departing aircraft, through a legacy ERP stretched beyond its limits, to SmarTeam, and finally to Aras Innovator. In this episode, he pulls back the curtain on what that transformation actually looked like - the messy parts included. Whether you're greenfield, brownfield, or somewhere in between, this conversation is packed with hard-won, practical wisdom. Key Takeaways Why Duncan Aviation's "product" is actually a service - and why that changes everything about PLM requirementsHow to manage uncontrolled vendor technical data from thousands of OEM suppliers at scaleThe power and the peril of a DIY customization cultureWhy you must clarify governance before go-live - not afterHow Duncan is now using Aras to automate tribal knowledge and eliminate paperwork gaps Guest Aaron Lane - PLM Lead, Duncan Aviation  A 25+ year Duncan veteran who started as an assistant finish tech and has held roles spanning production planner, project manager, certification coordinator, and engineering team leader. Aaron has been the driving force behind Duncan's PLM evolution from SmarTeam to Aras Innovator. Resources & Links Mentioned Duncan Aviation - duncanaviation.aeroAras Innovator - PLM platform used by Duncan AviationDuncan Aviation Case Study - Available at razorleaf.com (published separately)SmarTeam - Legacy PLM system (Dassault Systèmes, now end-of-life)CATIA - CAD platform used by Duncan's European OEM partnerCMMC - Cybersecurity Maturity Model Certification, relevant to Duncan's manufacturing division Have a question for Aaron or want to connect with Duncan Aviation? Reach out via the podcast community. 👉 Send topic ideas or guest suggestions: podcast@razorleaf.com 🔔 Subscribe so you never miss an episode  ⭐ Leave a review - it helps more engineers find the show  💬 Drop a comment - the hosts actually read them Stay Sharp in Digital Engineering is the podcast about tools, trends, and tactics shaping digital transformation in product manufacturing. New episodes drop regularly. Music is considered “royalty-free” and discovered on Story Blocks. Technical Podcast Support by Jon Keur at Wayfare Recording Co. © 2024 Razorleaf Corp. All Rights Reserved.

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  7. ١٠ مارس

    #126: Digital Product Series: iBase-t Solumina

    Inside Solumina: The Digital Backbone for Aerospace & Defense Manufacturing What does it take to manage manufacturing where failure simply isn’t an option? In this episode of Stay Sharp in Digital Engineering, hosts Juliann Grant and Jonathan Scott continue their digital product series with Sung Kim, CTO of iBase-t, for a deep dive into the Solumina platform—a manufacturing operations management system designed specifically for complex, highly regulated industries like aerospace and defense. Unlike traditional manufacturing systems that simply record what happened, Solumina is designed to actively guide production processes, enforce quality requirements, and maintain full traceability across the product lifecycle. Sung explains how the platform connects engineering intent to shop floor execution, integrating capabilities like MES, embedded quality management, supplier quality, MRO, and model-based manufacturing into a unified operational data model. The conversation explores the architecture behind the platform—from early two-tier systems to today’s cloud-native, microservices-based infrastructure—and how Solumina enables organizations to scale across global manufacturing sites while maintaining compliance, security, and operational continuity. If you’re curious about how modern manufacturing systems evolve from systems of record into systems that guide what happens next, this episode delivers a rare look under the hood. What You’ll Learn in This Episode Why MES alone isn’t enough for complex aerospace and defense manufacturingHow Solumin integrates MES, quality management, MRO, and supplier quality into one platformWhy a unified operational data model is critical for AI in manufacturingHow manufacturers integrate Solumina with PLM, ERP, and shop floor systemsWhat model-based manufacturing looks like in real-world productionWhy cloud-native architecture and microservices matter for manufacturing softwareHow digital systems help preserve institutional knowledge as experienced workers retireKey Topics Discussed Manufacturing Operations Management (MOM) platformsAerospace and defense manufacturing systemsDigital thread and model based enterpriseEmbedded quality management systems (EQMS)Supplier quality integrationMaintenance, repair, and overhaul (MRO) workflowsAI-driven manufacturing operationsCloud-native industrial software architectureAbout the Guest: Sung Kim is the Chief Technology Officer at iBase-t, where he leads the company’s long-term technology vision and product architecture for the Lumina manufacturing operations platform. With more than 20 years of experience as a technology architect and computer scientist, Sung focuses on building scalable, secure systems for complex, highly regulated manufacturing environments. Before joining iBase-t, Sung worked in telecommunications and academia, teaching undergraduate and graduate students while publishing research in leading international journals and conferences, including ACM and IEEE. His work today centers on advancing modern, cloud-native manufacturing platforms that connect engineering, production, quality, and maintenance across the digital thread. 📩 Subscribe for more conversations on digital engineering and product innovation 💬 Share your experiences or questions in the comments Music is considered “royalty-free” and discovered on Story Blocks. Technical Podcast Support by Jon Keur at Wayfare Recording Co. © 2024 Razorleaf Corp. All Rights Reserved.

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  8. ٣ مارس

    #125: Strategic Patterns for Implementing AI in Manufacturing

    AI is everywhere right now—but in digital engineering and manufacturing, many leaders are still asking the same question: where does it actually help? In this episode of Stay Sharp in Digital Engineering, hosts Juliann Grant and Jonathan Scott sit down with Dr. Diego Tamburini of CIMdata to separate hype from implementation reality. With decades of experience spanning Microsoft, Autodesk, and Siemens Digital Industries, Diego shares how organizations are applying AI today—not in theory, but inside real engineering and manufacturing environments. The discussion introduces five practical patterns of AI adoption, explains why many proof-of-concepts fail to scale, and explores emerging applications like AI-assisted workflows, predictive models, and natural-language interaction with engineering systems. Most importantly, the conversation reframes AI not as a technology trend, but as a decision framework leaders must apply carefully to solve the right problems. Key Takeaways Why today’s AI surge is driven largely by generative AI exposure—not a sudden invention of new intelligenceThe five patterns companies are using to implement AI, from vendor-embedded tools to fully custom modelsHow Retrieval-Augmented Generation (RAG) allows organizations to connect AI across enterprise systems without retraining modelsWhy many AI pilots fail due to unclear use cases, poor measurement, or data that cannot scaleHow AI is changing the way engineers interact with software—moving from menus to natural-language workflowsReal industrial applications already delivering value, including predictive maintenance, quality analysis, and simulation accelerationThe importance of aligning AI adoption with skills, governance, and measurable KPIs from the start👤 Guest Information Dr. Diego Tamburini Executive Consultant, CIMdata Leads the company’s AI practice, helping industrial organizations apply AI to digital engineering and manufacturing transformation. Former Director of Engineering Agility at Microsoft, where he helped integrate AI into engineering workflows and marketplace platforms. Previously held leadership and strategy roles at Autodesk and Siemens Digital Industries Software, with more than 25 years of experience in CAD, CAM, CAE, and PLM innovation.  👉 Connect with Dr. Tamburini to learn more about practical AI adoption in industrial environments. If this episode helped clarify how AI fits into engineering and manufacturing: Subscribe to Stay Sharp in Digital Engineering on your favorite podcast platformShare this episode with a colleague evaluating AI initiatives Leave a review to help more listeners find the showMusic is considered “royalty-free” and discovered on Story Blocks. Technical Podcast Support by Jon Keur at Wayfare Recording Co. © 2024 Razorleaf Corp. All Rights Reserved.

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Welcome to 'Stay Sharp in Digital Engineering,' the ultimate podcast for all things digital in the manufacturing industry by Razorleaf. Join us as we take a deep dive into the multifaceted world of digital transformation, exploring topics such as the digital thread, digital twins, IDEs, model-based strategies and delving into the frontiers of cutting-edge technologies like PLM, MES, Integration, and more. Our expert hosts, Jonathan Scott, Jen Ferello, Juliann Grant, and Eric Doubell, will be your guides, providing valuable insights, captivating interviews, and the latest industry updates to ensure you remain at the forefront of the ever-evolving digital landscape. Whether you're a technology enthusiast, a business leader, or simply curious about the digital realm in manufacturing, this podcast is your essential resource for staying sharp and well-informed.

المعلومات

  • صناع العمل
    Razorleaf Corp.
  • سنوات النشاط
    ٢٠٢٣ - ٢٠٢٦
  • الحلقات
    ١٣٣
  • التقييم
    ملائم
  • حقوق النشر
    © 2026 Razorleaf Corp.
  • موقع البرنامج على الويب
    Stay Sharp in Digital Engineering