Engineer Innovation: Conversations about Industry 4.0, Engineering AI/ML, Digital Twin, & Computer Aided Engineering.

In this episode, recorded at Realize LIVE Americas 2024, we’re joined by Tom Stoumbos, Director of Engineering at Northrop Grumman. We delve into the fascinating world of space exploration and the intricate technologies behind space vehicles and satellite systems. Tom leads a team of simulation and test engineers and reveals the complexities of designing for the cosmos, from servicing commercial satellites to supporting ambitious lunar missions. Learn about the vital role of simulation in overcoming the challenges of deep space, the innovative refueling technologies in development, and the potential of AI and machine learning in pioneering the next era of space travel. Don't miss the insights from a leading mind in aerospace engineering, where every mission pushes the boundaries of human achievement and ignites our imagination for the final frontier. Key Takeaways The role of simulation in the design and testing of space vehicles and satellite systems Establishing infrastructure on the moon is a critical steppingstone for deep space missions due to the reduced power required to launch from the moon compared to Earth The challenges associated with space exploration include the need for accurate simulations and the management of vast amounts of data. Machine learning and AI can help process and analyze this data more efficiently. The importance of collaboration between industry and academia Predicting the establishment of a lunar orbiting lab in the next few years and possible lunar infrastructure within the next 15 years.   This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.   If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and subscribe on Apple or Spotify so you never miss an episode. For more unique insights on all kinds of cutting-edge topics, tune in to siemens.com/simcenter-podcast   ▶️ About Simcenter: Engineering departments today must develop smart products that integrate mechanical functions with electronics and controls. They should utilize new materials and manufacturing methods and deliver new designs within ever shorter design cycles. This requires current engineering practices for product performance verification to evolve into a Digital Twin approach, which enables us to follow a more predictive process for systems-driven product development. Simcenter™ software uniquely combines system simulation, 3D CAE and tests, to help predict performance across all critical attributes, early and throughout the entire product lifecycle. By combining physics-based simulations with insights gained from data analytics, Simcenter helps you optimize design, and deliver innovations faster and with greater confidence. #Aerospace  #AerospaceEngineering  #SimcenterSimulationDriven-Design

In this episode, we’re joined by Jesse Marcel, Co-Founder and Chief Design Officer of Airborne Motorworks, and John Shew, Simulation Services Director of Maya HTT. They delve into the development of innovative wind turbines that could revolutionize local power generation. Key Takeaways: (06:24) Shifting from propulsion to power-generation technology. (10:35) Scaling up the design challenges. (12:26) Unique aspects of their wind turbine. (15:44) Collaborating on electromagnetics and mechanical design. (19:17) Design evolution and efficiency improvements. (29:28) The role in addressing climate issues. Resources Mentioned: Jesse Marcel - https://www.linkedin.com/in/jessemarcel/ Airborne Motorworks - https://www.linkedin.com/company/airbornemotorworks/ John Shew - https://www.linkedin.com/in/john-shew-pe/ Maya HTT - https://www.linkedin.com/company/mayahtt/ Microgrid - https://airbornemotorworks.com/energy-production This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering, and manufacturing together to build a better digital future. If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and subscribe on Apple or Spotify so you never miss an episode. For more unique insights on all kinds of cutting-edge topics, tune in to siemens.com/simcenter-podcast. #RenewableEnergy #WindEnergy #GreenEnergy  #Simcenter #SimulationDriven-Design

In this special New Year edition of the Engineering Innovation podcast, Stephen and Chad review the top trends that dominated the world of engineering simulation and test during 2023, and predict how those trends will play out in 2024. We also introduce our new AI Podcaster ChadGPT.   Key Takeaways  What were the top trends of 2023?  Will AI replace engineers?  Will AI replace engineering podcasters? Meet ChadGPT!  Can you lobotomize Machine Learning algorithms  Stepping inside the Metaverse  Exploring the Digital Twin  What is the opposite of engineering?  Which are the best episodes of the Engineer Innovation podcast  This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering, and manufacturing together to build a better digital future.  If you enjoyed this episode, please leave a 5-star review to help get the word out about the show.  For more unique insights on all kinds of cutting-edge topics, tune in to siemens.com/simcenter-podcast.

In this episode, we’re joined by Adrian Perregaux, Product Manager of Electromagnetics at Siemens Digital Industries Software, His team focuses on low-frequency electromagnetic solutions within the Simcenter portfolio. Adrian shares his insights into the evolving world of electric motor design and the role of simulation software in enhancing this process. Key Takeaways (02:33) What Adrian finds appealing in electric motor problem-solving.  (05:07) The complexity in motor design is due to the non-linear behavior of electromagnetic steels. (07:50) Efficiency trends in motor design driven by global electricity consumption. (14:36) Early software development technology limitations.  (16:00) The introduction of Simcenter Speed and Simcenter Motorsolve. (21:12) The upcoming release of  Simcenter e-machine design. Resources Mentioned: Simcenter e-machine design - https://plm.sw.siemens.com/en-US/simcenter/simulation-test/e-machine-design/ Simcenter SPEED software  - https://plm.sw.siemens.com/en-US/simcenter/electromagnetics-simulation/speed/ Simcenter MotorSolve - https://plm.sw.siemens.com/en-US/simcenter/electromagnetics-simulation/motorsolve/ This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future. If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and subscribe on Apple or Spotify so you never miss an episode. For more unique insights on all kinds of cutting-edge topics, tune in to siemens.com/simcenter-podcast #Simcenter #SimulationDriven-Design ##ElectricMotors #ComptuerAidedEngineering #CAE #DigitalTwin #ElectroMechanical #Engineer #Innovation

On today’s episode, we’re joined by Tom Phillips, Director, Simulation Portfolio Development of Siemens Digital Industries Software, who sheds light on the advanced applications and benefits of digital twins in the industrial world. His insights are focused on the practical aspects and the future of digital twin technology in enhancing industrial operations. Key Takeaways: (03:40) How digital twins enhance product and process understanding. (05:14) The significance of digital twins in predictive maintenance and condition monitoring. (08:50) The role of digital twins in improving manufacturing and operational efficiency. (14:32) The role of simulation and analytics in refining the capabilities of digital twins. (19:46) Advice for beginners on starting with digital twins in operations, focusing on design phase and predictive modelling. (21:14) Evolving from basic digital twin creation to automating models for enhanced usability across applications. (22:35) The concept of reduced order models and executable digital twins for real-time applications in monitoring and maintenance. Tom Phillips - https://www.linkedin.com/in/tomjphillips/ Siemens Digital Industries Software -https://www.linkedin.com/company/siemenssoftware/ This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future. If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and subscribe on Apple or Spotify so you never miss an episode. For more unique insights on all kinds of cutting-edge topics, tune in to siemens.com/simcenter-podcast #AI #Automation #IntelligentAutomation #Simcenter #SimulationDriven-Design #MachineLearning #Autonomous  #IntelligentAutomation #digitaltwin

On this episode, Sarah Barendswaard and Yerlan Akhmetov, both engineers at Siemens Digital Industries Software, part of the System Performances Center of Excellence, share how they harness AI and simulation tools like ChatGPT, Simcenter Prescan, and Simcenter Amesim to optimize testing and development of autonomous vehicle systems.  The project they worked on involved using ChatGPT to analyze the subjective evaluation of a test driver in a physical simulator and make real-time adjustments to the vehicle dynamics parameters based on their feedback. They highlight the potential of AI in streamlining the testing process, increasing productivity, and reducing resource costs. They also discuss the importance of trust and verification when using AI tools and the potential impact of AI on imagination and creativity. Overall, they find that AI can be a valuable tool in their work, but it is crucial to understand its limitations and ensure human supervision and verification.  Key Takeaways:  AI Integration in Engineering: Integrating ChatGPT and Siemens tools for real-time optimization of vehicle dynamics parameters Real-time Testing Efficiency: Demonstrating AI's efficacy in swiftly adjusting vehicle parameters based on immediate driver feedback during real-time testing.  Trust and Reliability in AI: Acknowledging AI's reliability while emphasizing the importance of understanding its limitations and maintaining human oversight, especially in critical scenarios.  Imagination and AI Impact: Philosophically exploring AI's impact on human imagination, with differing views on whether it hinders or inspires creativity.  Future AI Applications at Siemens: Envisioning broader applications for AI, focusing on leveraging ChatGPT and Siemens tools to streamline development processes and enhance efficiency.  Resources mentioned: System Performance Center of Excellence Simcenter Amesim | Siemens Software Simcenter Prescan Software simulation platform | Siemens Software ChatGPT (openai.com) Hackathon project by Yerlan and Sarah If you enjoyed this episode, please leave a review. It would help get the word out about the show. Find the show on your favorite podcatcher: Engineer Innovation podcast.

On today’s episode, we’re joined by Kai Liu, Senior Key Expert of Simulation and Modeling at Siemens. He shares insights into the integration and impact of ChatGPT within Siemens and Simcenter tools, discussing the future of engineering with the advent of advanced AI technologies. Key Takeaways: (02:28) Discussing ChatGPT’s assistance in programming and writing. (03:22) Integration of ChatGPT in Siemens and Simcenter. (04:19) How ChatGPT is changing engineering tool interfaces. (08:43) Integration of ChatGPT in the ‘Hi Simcenter’ project. (16:09) Strategies to reduce randomness in large language model responses. (17:31) Addressing AI drift and confidentiality concerns in professional LLM use. (20:24) The rapid evolution of ChatGPT and challenges in its professional integration. (22:34) Future predictions for domain-specific LLMs. (24:21) A discussion of AI’s impact on engineering jobs. (25:20) AI’s role in enhancing engineering productivity. (27:16) Speculation on how engineers might use LLMs in the future. Resources Mentioned: Kai Liu - https://www.linkedin.com/in/kai-liu-4795b410a/?originalSubdomain=de Hi Simcenter - https://blogs.sw.siemens.com/art-of-the-possible/2023/07/19/the-potential-impact-of-llms-on-cae/ ChatGPT by OpenAI - https://chat.openai.com/ This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future. If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. For more unique insights on all kinds of cutting-edge topics, tune in to siemens.com/simcenter-podcast. #ChatGPT #OpenAI #MachineLearning #AI #Automation #IntelligentAutomation #Productivity #Autonomous

On today’s episode, we’re joined by Jamil Madanat, Chief Technology Officer of GreenForges, for a fascinating discussion about the innovative approach of GreenForges in agriculture and the potential of underground farming. Key Takeaways: Repurposing LED heat waste for buildings. (07:40) A controlled environment offers predictable crop growth amidst climate crisis. (07:53) Underground farming: protection from pests, weather and contamination. (08:19) The four phases of plant growth in GreenForges’ system. (14:19) Proper monitoring of plant conditions and ensuring optimal growth. (15:37) The role sensors and cameras play in monitoring plant health. (16:10) The potential for flavour engineering in controlled environment agriculture. (16:58) The effect consistency in plant shape, size and flavour has on market appeal. (18:02) The significant design changes influenced by simulation results. (22:39) The initial focus of leafy greens and the potential expansion to berries, mushrooms and algae. (25:35) Jamil Madanat - https://www.linkedin.com/in/jamilmadanat/ GreenForges - https://www.linkedin.com/company/greenforges/ This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future. If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. For more unique insights on all kinds of cutting-edge topics, tune in to siemens.com/simcenter-podcast #Agriculture #Innovation #SustainableFarming #Technology #GreenForges #UnderGroundFarming #Sustainability #Engineering #AgTech #Food #Simcenter

On today’s episode, we’re joined by Salla Eckhardt, Vice President of Innovation at OAC Services, Inc., which provides innovative building and process solutions to its clients. Salla discusses digital transformation in her industry and her experiences. We talk about: Salla’s passion for the built environment. Some of the biggest current challenges with the built environment. Real estate versus the construction industry. Why is digital transformation necessary in the built environment industry? Using simulations to identify and fix issues with the built environment. Using AI in the built environment. Using data to build more durable and resilient structures. Salla Eckhardt - https://www.linkedin.com/in/sallaeckhardt/ OAC Services, Inc. - https://www.linkedin.com/company/oac-services-inc/ This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future. If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. For more unique insights on all kinds of cutting-edge topics, tune in to siemens.com/simcenter-podcast #Productivity #Sustainability #AECO #BuiltEnvironment #Energy #Simcenter

In this episode we explore one of the best examples of a living (and literally) breathing digital twin, a “lung in the loop” model that allows a single ventilator to be used to assist the breathing of multiple patients.  We’re joined by Daniel Reed, Senior R&D Project Manager at MxD, a public-private partnership that matches federal investment with private investment to advance digital manufacturing technology for the US manufacturing industry. We talk about: Working in MxD’s “future factory” in Chicago. Using sensors and networks to create smarter factories. The role of digital twins in the factory of the future. The “lung in the loop” model — using digital twins to deal with ventilator shortages during Covid. How digital twins process data. The potential of having digital twins in hospitals around the world. Why isn’t there more data sharing in manufacturing right now? What’s next with the lung in the loop model? The exciting future of digital twins. This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future. If you enjoyed this episode, please leave a 5-star review to help get the word out about the show.  For more unique insights on all kinds of cutting-edge topics, tune into siemens.com/simcenter-podcast.

In the battle to decarbonize our electricity supply hydropower is a key weapon (in those places where geography permits). It can be either a source of green energy (as rain fills up mountain reservoirs) or, in the case of pumped hydro, a partially “self-recharging battery”, storing excessive green energy for later use.  Dialing hydro power up and down in response to demand has its own challenges though, due to the massive scale of these plants and the consequence of forces generated by millions of liters of water cascading from a great height.  In the latest episode of the Engineer Innovation podcast, I talk to Flow Design Bureau’s Morten Kjeldsen about using engineering simulation to create “virtual sensors” that allow operators to understand how a hydro power station is performing in real time.  “We have tens of kilometers of piping and tunnels filled with water running through a penstock which takes water for a high level to the turbine - it can be anything from 200 to 1200 meter's of head. You have all this inertia when you change your operating conditions, which can generate massive oscillations. If you’re not very careful, bad things can happen…”  Morten Kjeldsen, Flow Design Bureau  The challenges of running a demand responsive hydro power plant  The consequences of getting your flow control one  Building virtual sensors using simulation an edge computing  The digital twin from the plant operators perspective  Using legacy equipment outside of its original design parameters  This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.  If you enjoyed this episode, please leave a 5-star review to help get the word out about the show.  For more unique insights on all kinds of cutting-edge topics, tune into siemens.com/simcenter-podcast.

Many of us have become almost entirely reliant on our smart watches. My smart watch can tell when I’m stressed. It nags me about not getting enough sleep. It tracks how much I move. It monitors my heart rate 24/7 and predicts how much oxygen is being circulated around my body. And it pings me with an endless stream of social media notifications, that I really should be ignoring.   But what if this technology was available for machines?   At engineering school one of the first things, we learn is how we can measure torque and bending on a shaft using strain gauges that convert deformation into an electrical signal that can be measured (and calibrated). But in the words of our guest, Forcebit CEO Jan Croes:  “And sticking strain gauges on a shaft is not fast, it's not easy, and it's not reliable. Because what you have to do is you have to build up a sensor from scratch onto a shaft in an environment that is oily, that is messy, there is no room. And what you have to do is you have to completely put a barrier shaft, you have to mount strain gauges, you have to wire stuff, you have to balance it, you have to put duct tape around it, and you have to pray that things don't fly off.”  This edition of the Engineer Innovation Podcast is about the engineering challenges involved in designing Forcebit a device that aims to make measurements on rotary drive systems as fast and easy as putting on a smartwatch. This is an important application of the digital twin technology in which the combination of simulation and measurement allows virtual sensors to replace physical sensors and increases our understanding of complicated systems.  The benefits of a combination of virtual and physical sensors over physical sensors alone.  The engineering technology that allows Forcebit to function  How data collected from Forcebit can lead to better engineering decisions.  The sustainability implications of reducing over-engineering through improved data.  How engineering simulation empowers startup companies to get their product to market more quickly.  This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.  If you enjoyed this episode, please leave a 5-star review to help get the word out about the show.  For more unique insights on all kinds of cutting-edge topics, tune into siemens.com/simcenter-podcast.

In this episode of the Engineer Innovation podcast we go behind the scenes of the world’s largest ever marine validation experiment, in which 54 teams of engineers compete to simulate the performance of a cruise ship (full of passengers). My guest is Dmitriy Ponkratov from the Royal Institution of Naval Architects who has been performing marine CFD simulations for more than two decades with Lloyds Register of Shipping and RINA, and who is a veteran of many sea trials. In this episode we discuss: ● The challenge of meeting IMO’s Zero Carbon Shipping target by 2050 ● The pivotal role that simulation plays in designing the ultra-efficient ships required to meet these standards ● Exploring novel marine propulsion systems ● Establishing trust in CFD simulation as an alternative to towing tanks and sea trials ● Creating a dataset of sea trial data that can be used to validate CFD simulations at full scale and in real world conditions ● A massive validation effort that includes 54 companies and institutions. ● How CFD engineers deal with sometimes getting the answer wrong ● The Marine Digital Twin ● Artificial Intelligence and Machine Learning as applied to the marine industry ● Conducting sea trials on a cruise ship full of gin-and-tonic sipping passengers This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future. If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. For more unique insights on all kinds of cutting-edge topics, tune into siemens.com/simcenter-podcast.

In this episode of the Engineer Innovation podcast AI Expert Justin Hodges and (not so expert) Stephen Ferguson explain how engineers can start using Artificial Intelligence and Machine Learning TODAY, and quickly achieve massive productivity savings and extra insight into their simulations.    We talk about:  Using ChatGPT to massively increase engineering productivity  The key steps required to perform any AI or Machine Learning project  Some common pitfalls  A way to rapidly assess which AI approach is most useful for your project  Learning resources that will allow you to get started in AI today  This podcast is available to watch (including the Part 2 Demo) at https://www.youtube.com/playlist?list=PL1m1vu8_quoAqrddwd2i9HtPpp4xmWBzo.   Here are the links to the resources mentioned in this episode:  A bunny jumping on the back of a dog (created in Mid Journey AI) : https://www.midjourney.com/app/jobs/85804705-d9e5-47fe-aa57-1d5229bd9935/  Kaggle Machine Learning Competitions - including the Digit Recognizer competition in which Stephen ranked 563 : https://www.kaggle.com/competitions/digit-recognizer/overview  Machine Learning Specialization Coursera: https://www.coursera.org/specializations/machine-learning-introduction  Justin’s DataSet: https://www.kaggle.com/datasets/camnugent/california-housing-prices  Lazy Predict: https://pypi.org/project/lazypredict/  Simcenter Studio: https://plm.sw.siemens.com/en-US/simcenter/integration-solutions/studio/  Justin’s LinkedIn profile: https://www.linkedin.com/in/justin-hodges-phd-3432a58b/    This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.

On today’s episode, we’re joined by Dave Griffith, Co-Host of the Manufacturing Hub Podcast, a show for manufacturing and industrial professionals seeking the best education and inspiration for how to improve their business and career. We talk about: Why Dave is so passionate about manufacturing. Why is manufacturing the “wild west,” according to Dave Griffith? The different factors driving digitization in manufacturing. What is “sensible digital transformation”? And why is it so important to be sensible? Are people unrealistic about the effort involved in digital transformation? How simulation and digital twins can drive digital transformation. How machine learning and AI can help with sensible digital transformation. This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future. If you enjoyed this episode, please leave a 5-star review to help get the word out about the show.  For more unique insights on all kinds of cutting-edge topics, tune into siemens.com/simcenter-podcast. #Productivity #Construction #Manufacturing #Machinery #Structures

On today’s episode of the Engineer Innovation Podcast, we’re joined by reformed engine combustion simulation expert Dr Simon Fischer, who traded in a stable career in engine simulation to become an expert in storytelling through simulation. In this episode we discuss Why Simon decided to get out of the engine simulation game. Which sort of CFD engineers are the most competent How the scope of CFD has, and is still changing The value of a multidisciplinary approach to simulation The risks and benefits of Artificial Intelligence and Machine Learning A cat wearing a frog hat Massive Engineering Data Analytics This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future. If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. For more unique insights on all kinds of cutting-edge topics, tune into siemens.com/simcenter-podcast.

On today’s episode, we’re joined by John Perrigue, who is the Head of Digital Operations & Smart Manufacturing - Life Sciences at EMD Millipore and Senior Director at Johnson & Johnson, Digital Process Design. We talk about: How John first got involved with simulation and testing at Johnson & Johnson. How J&J uses digital twins and the benefits of this. How J&J’s simulation capacity grew and scaled over time. Tackling the human element involved in scaling. Do you need a Ph.D. to use Computational Fluid Dynamics (CFD)? Did Covid accelerate the use of simulation in the pharmaceutical industry? What is the endgame for automation optimization? The benefit to patients from this technology. John Perrigue - https://www.linkedin.com/in/john-perrigue/ This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future. If you enjoyed this episode, please leave a 5-star review to help get the word out about the show.  For more unique insights on all kinds of cutting-edge topics, tune into siemens.com/simcenter-podcast.

In a special Season 2 Bonus Episode we take a brutally honest look into Artificial Intelligence and Machine Learning to try and dispel some of the hype that has built up around topic, and to see if we can distinguish what is possible now, and what might be possible in the future of AI. In this episode, you will learn about: How AI will change the profile of engineers in the future The role that AI will play in the future of engineering Extracting more value from simulation and test Using AI to reduce mundane and repetitive tasks in engineering Formalising the transfer of accumulated experience between projects using ML= The potential for AI to generate full 3D datasets from existing simulations ML as a tool for eliminating bias in engineering How AI is not a "magic pill" How to get started in AI and ML today

On today’s episode, we’re joined by Justin Hodges, Senior AI/ML Technical Specialist in Product Management at Siemens Digital Industries Software, and Remi Duquette, Vice-President of Innovation and Industrial AI at Maya HTT. We talk about: How ChatGPT has changed public perception and understanding of AI. How both Justin and Remi found their way into AI, and their journeys so far. Whether AI is accessible for people without much prior experience. Some of the best examples of AI and ML today. The value of digital twins. The importance of data quality with AI. How AI and ML can help us explore innovation. Will AI replace engineers? How can organizations start implementing ML and AI in their workflows? This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future. If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. For more unique insights on all kinds of cutting-edge topics, tune into siemens.com/simcenter-podcast

On today’s episode of the Engineer Innovation podcast, we’re joined by Virginie Maillard, Head of Global Research in Simulation and Digital Twin at Siemens. She’s here to talk about the role of the digital twin in the emerging industrial metaverse and what the future holds. We talk about: What is digital twin and what type of digital twin are there? What kind of research is taking place around digital twin? What is the industrial universe? How is different from other types of metaverses? How digital twin can be used in the industrial universe. What companies can gain from moving to the industrial universe. How does sustainability factor into the industrial universe? What do the next few years hold for digital twin? This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future. If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. For more unique insights on all kinds of cutting-edge topics, tune in to siemens.com/simcenter-podcast. #IndustrialMetaverse #DigitalTwin #Innovation #WomenInStem