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Automation is everywhere in the process industries; it is maybe one of the most advanced markets in this regard. But businesses in this space are still feeling the crunch when it comes to flexibility and adaptability of their processes. A major challenge of integrating flexibility into processes is ensuring the high safety and quality margins for industries like pharmaceuticals and food production. To explore this and more, we sat down with Mark Hindsbo and Rebecca Vangenechten for this episode Siemens’ Future-Ready Podcast.In this episode you’ll learn about:(00:00) The state of automation(02:43) Unique challenges of process industries(06:09) Role of operations software(10:08) Real world use-casesAbout the voices:Mark Hindsbo joined Siemens in 2025 as Head of Operations Software. He is leading a team to build an integrated and modular industrial operations software suite that allows customers to design, engineer, and operate their factories, data centers, or plants – powered by agentic AI and digital twins. His extensive career includes leadership roles at Ansys, Parallels, and Microsoft, alongside experiences at The Boston Consulting Group, Novo Nordisk, and CERN. Mark is also an Adjunct Professor at Carnegie Mellon University. Born and educated in Denmark, he holds an M.S. in Applied Physics & Mathematics from the Technical University of Denmark.Rebecca Vangenechten has been the Head of Automation and Engineering for Process Automation at Siemens since 2023 – helping customers and partners through the entire plant lifecycle with engineering, consulting and modernization. But her background in Biomedical Sciences and Endocrinology is perfect for understanding the challenges of process industries.Nick Finberg is a technical marketing writer and coordinator for Software-Defined Everything, with a background in Nuclear Engineering. He has worked with experts to cover many industries and topics including Automotive, Battery, sustainability, and systems engineering.
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Following the industrial revolution and the rise of globalization, mass produced and consumer packaged goods (CPG) have been manufactured on the concept of centralization; a factory in a central location produces a product before shipping it to warehouses the world over. While this approach has many benefits, in recent years it has become increasingly clear it might not always be the best way.In this episode, host Conor Peick is joined by Alastair Orchard to explore the future of CPG manufacturing from shifting left to networks of local production facilities before taking this concept right to the edge with a pop-up factory that can be shipped in a container.In the episode you’ll learn about: (0:38) The evolution of manufacturing(3:50) How companies will change demand forecasting(6:00) The value of a decentralized network of production(9:46) Building a pop-up factoryAbout the voices:Alastair Orchard is the head of Digital Enterprise Thought Leadership for Siemens Digital Industries, working with multinationals to become more flexible, cost effective, transparent, collaborative organizations, and to bring their world-class products to market faster than their competitors. He is also the co-founder and CTO of dimax.cloud - a distributed manufacturing platform that cuts the cost, carbon and complexity from supply chains. Conor Peick is a Marketing Professional creating forward-looking content for the Thought Leadership team at Siemens Digital Industries Software. Conor collaborates with industry experts and executives to produce impactful content exploring the challenges companies face and the technologies that can provide solutions.
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Delays bringing medical treatment to market can cost pharmaceutical companies millions of dollars a day in lost revenue. And as treatments take 10 to 12 years to be greenlit, companies need to start production immediately after approval. Thus, engineers must design plants before product, recipe and workflow finalization. This introduces significant uncertainty within a project that demands success on first use.In this episode, experts in the pharmaceutical and life science industry discuss how Roche uses a comprehensive digital twin to overcome the uncertainties related to the design of greenfield, pharmaceutical production facilities.In this podcast you will learn:(01:40) How to adapt to the big changes in the pharmaceutical space(03:50) How to overcome the challenges of building greenfield plants for life sciences(06:05) How Roche’s new project addresses plant development uncertainty(13:58) When comprehensive digital twins transition from models to decision toolsAbout the voices:Jan Wokittel, Director of Smart Manufacturing at RocheJan is responsible for the digitization technologies used in greenfield pharmaceutical and medical device production facilities. For over seven years, he has helped Roche plan and implement large scale capital expenditure projects. Andy Whytock, Head of Market Strategy and Thought Leadership of Life Sciences at SiemensAndy is responsible for driving digital transformation initiatives and thought leadership activities in the pharmaceutical and life sciences sector. He specializes in helping life sciences manufacturers embrace digital transformation, adopt cutting-edge technologies and evolve into fully connected, data-driven and sustainable enterprises.Conor Peick, Marketing Professional for the Thought Leadership team at Siemens Digital Industries SoftwareConor is responsible for creating forward-looking content for Siemens Digital Industries Software.
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Artificial Intelligence has come to dominate conversation in consumer and industrial spaces. The recent explosion in AI capabilities and applications is a confluence of factors, producing an exciting landscape of innovation, new challenges and immense opportunity.In this special episode, listen to the complete discussion between host Conor Peick and guests Matthias Loskyll and Samir Desai as they discuss why Industrial AI has taken off today, how it is being deployed in engineering software and production hardware, how AI agents are already factoring into the future of industry and more!In the episode you’ll learn about:(00:00) Why Industrial AI has exploded now(10:02) Many types of Industrial AI, from predictive to agentic(24:25) Breaking down data silos through the data fabric(47:34) The future of agents as autonomous systems under human supervisionAbout the voices:Matthias Loskyll is the Senior Director of AI and Robotics at Siemens Digital Industries with a PhD in Production Automation.Samir Desai is the Senior Director and Global Program Head for Data and AI at Siemens Digital Industries with more than 30 years’ experience developing and managing industrial software suites.Conor Peick is a Marketing Professional creating forward-looking content for the Thought Leadership team at Siemens Digital Industries Software.
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Agentic AI is emerging as a transformational paradigm across industries, with the potential to reshape how companies design, manufacture and manage operations. Yet, transformations take time and, especially in the case of AI agents imbued with a level of autonomy, require careful planning and robust infrastructure to ensure human experts maintain final review and approval authority.In this episode, host Conor Peick is joined by guests Matthias Loskyll and Samir Desai to discuss how AI agents are already factoring into the future of industry, and how companies can best approach their adoption.In the episode you’ll learn about:(00:00) Introduction and the future of AI agents in industry(03:51) A brief explanation of Model Context Protocol(07:23) How humans and machines may work together in the future(09:18) Potential developments and how to approach AI adoptionAbout the voices:Matthias Loskyll is the Senior Director of AI and Robotics at Simens Digital Industries with a PhD in Production Automation.Samir Desai is the Senior Director and Global Program Head for Data and AI at Simens Digital Industries with more than 30 years’ experience developing and managing industrial software sweats.Conor Peick is a Marketing Professional creating forward-looking content for the Thought Leadership team at Siemens Digital Industries Software. Conor collaborates with industry experts and executives to produce impactful content exploring the challenges companies face and the technologies that can provide solutions.
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New technology is, without a doubt, cool. However, for that technology to have value it must be practical as well, offering real benefits to end users lest it be relegated to niche novelty status. Currently, copilots are working to move out of the realm of cool technology and into the realm of real value, offering strong user benefits and real, practical improvements to the way people do their work.In this episode, host Conor Peick is joined by guest Theo Papadopoulos, senior consultant and head of the Metaverse Lab at Siemens to explore what it takes to bring AI copilots to the shop floor, how that benefits users and what the copilot itself needs to succeed.In the episode you’ll learn about: (0:20) What an Industrial Copilot needs to know.(1:14) The importance of user experience.(2:04) What it means to use an Industrial Copilot.(5:27) The important role of the Digital Twin.About the voices:Theo Papadopoulos is a senior consultant and head of foundational technologies for Siemens Metaverse Lab responsible for bringing cutting edge technologies to reality. Theo has a background in both business and mechanical engineer as well as a long history at Siemens. Conor Peick is a Marketing Professional creating forward-looking content for the Thought Leadership team at Siemens Digital Industries Software. Conor collaborates with industry experts and executives to produce impactful content exploring the challenges companies face and the technologies that can provide solutions.
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As artificial intelligence transforms industrial operations, companies face a critical challenge: how to build trust in AI systems while scaling them effectively across global operations. The path forward requires transparency, careful data stewardship, thoughtful implementation strategies, and a commitment to augmenting rather than replacing human expertise.In this episode, host Conor Peick is joined by guests Matthias Loskyll and Samir Desai to examine how companies can build trust with users and customers and to explore the key challenges that hamper scaling AI from pilots to full adoption.In the episode you’ll learn about:(00:00) Introduction and how to build trust in Industrial AI(07:03) Challenges that impede scaling(10:44) Managing cultural transition and educating usersAbout the voices:Matthias Loskyll is the Senior Director of AI and Robotics at Siemens Digital Industries with a PhD in Production Automation.Samir Desai is the Senior Director and Global Program Head for Data and AI at Siemens Digital Industries with more than 30 years’ experience developing and managing industrial software suites.Conor Peick is a Marketing Professional creating forward-looking content for the Thought Leadership team at Siemens Digital Industries Software.
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The promise of future technologies is always exciting yet the reality can sometimes fail to live up to the dream. While technologies like mixed reality and Industrial Metaverse may have had a rocky start, today, they are now capable of offering tangible benefits to frontline workers with the promise of very real advancements in the future. In this episode, host Conor Peick is joined by guest Theo Papadopoulos, senior consultant and head of the Metaverse Lab at Siemens to explore the ways mixed reality and artificial intelligence can help leverage the Industrial Metaverse into a real tool for workers today and tomorrow.In the episode you’ll learn about: (0:30) Why now for the Industrial Metaverse?(3:33) Solving real problems with cutting edge technology(4:47) Working smarter with smart technology(6:32) Developing machine understanding(8:55) How AI can provide trusted guidanceAbout the voices:Theo Papadopoulos is a senior consultant and head of foundational technologies for Siemens Metaverse Lab responsible for bringing cutting edge technologies to reality. Theo has a background in both business and mechanical engineer as well as a long history at Siemens. Conor Peick is a Marketing Professional creating forward-looking content for the Thought Leadership team at Siemens Digital Industries Software. Conor collaborates with industry experts and executives to produce impactful content exploring the challenges companies face and the technologies that can provide solutions.
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Tradeshows often coalesce around high-level topics for a few years at a time from the initial development of underlying technologies and through to the challenge of scaling those solutions in across a business. To add a little more weight to what was on display at Hannover Messe 2026, our moderator Conor Peick sat down with Rainer Brehm – the COO of the Siemens Automation Business and CTO of Digital Industries – and David Humphrey – Director of Research at ARC Advisory Group. The goal was to define what is really happening in industry and what is happening to bring the goals outlined across the show floor to fruition for even more businesses.In this episode you’ll learn about:(00:00) Hello from Hannover 2026(02:15) Real changes on the floor(06:17) Taking insights to executionAbout the voices:Rainer Brehm is the Chief Operations Officer (COO) for the automation business and Chief Technology Officer (CTO) at Siemens Digital Industries. In these roles, he drives the strategic advancement of Siemens’ automation portfolio and leads the development of technologies such as Industrial AI and Software-Defined Automation to unlock the full potential of automation. His focus is on making production more adaptive, resilient, and sustainable. His vision is an automated automation that solves unknown tasks independently.David Humphrey is an analyst at ARC Europe. And is a member of ARC’s hybrid manufacturing, packaging and industrial networking teams. He has over 25 years experience in industrial automation across specification, design and programming in a variety of industries.Conor Peick is a Marketing Professional creating forward-looking content for the Thought Leadership team at Siemens Digital Industries Software. Conor collaborates with industry experts and executives to produce impactful content exploring the challenges companies face and the technologies that can provide solutions.
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Though well established in industry discourse, Digital Twin technology still has room to grow and add value as a powerful tool for industrial companies. As it matures and synergizes with other key technologies, such as Industrial AI, the Digital Twin will expand into a connected, intelligent, and real-time representation of entire industrial enterprises.In this episode of the Future Ready Podcast from Siemens, we are joined once again by one of our resident experts on the Digital Twin, Dominik Zettler, Vice President of Simulation for Industrial Systems at Siemens. The discussion examines how the Digital Twin supports the construction of a connected and organized data ecosystem, and looks at how the Digital Twin and Artificial Intelligence can combine to deliver greater value in the future.In this episode you’ll learn about: (00:00) Introduction(03:28) Data orchestration(08:38) Bringing the Digital Twin to the edge(11:37) Looking ahead to the Industrial Metaverse(18:17) Key points to rememberAbout the voices:Dominik Zettler is Vice President of Simulation for Industrial Systems at Siemens. Over more than 20 years in the industry, Dominik has experienced the growth of digitalization technology from early 3D modeling to the advanced digital twins in use today. Now, Zettler focuses on go-to-market strategies and the development of new business models. Zettler also has experience in project management and general contracting from prior positions, where responsibilities included managing large-scale automotive projects and P&L accountability.Conor Peick is a Marketing Professional creating forward-looking content for the Thought Leadership team at Siemens Digital Industries Software. Conor collaborates with industry experts and executives to produce impactful content exploring the challenges companies face and the technologies that can provide solutions.
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AI has the potential to address many challenges in the industrial world, however, making that dream a reality involves more than just developing a new AI tool or addon. With an Industrial AI model in hand, finding the best way to bring that model to both tools and physical assets represents a challenge of its own.In this episode, host Conor Peick is joined by guests Matthias Loskyll and Samir Desai to examine what it takes to bring AI to both software tools and factory systems. Industrial AI is not a one-size-fits-all tool but, rather, a collection of methods and approaches that Samir and Matthias examine from both a design and manufacturing perspective.In the episode you’ll learn about:(0:22) Using the right AI tool for the right job(5:45) How Industrial AI is integrating with existing systems(11:47) Understanding the need for industrial data fabricsAbout the voices:Matthias Loskyll is the Senior Director of AI and Robotics at Simens Digital Industries with a PhD in Production Automation.Samir Desai is the Senior Director and Global Program Head for Data and AI at Simens Digital Industries with more than 30 years’ experience developing and managing industrial software sweats.Conor Peick is a Marketing Professional creating forward-looking content for the Thought Leadership team at Siemens Digital Industries Software. Conor collaborates with industry experts and executives to produce impactful content exploring the challenges companies face and the technologies that can provide solutions.
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Mounting complexity, disruption and shifting customer demands are driving companies in many industries to seek faster and more efficient development methods across product and production lifecycles. Digitalization, and the Digital Twin specifically, have arisen as a means of helping companies accelerate processes, lower costs and reduce risk in an increasingly dynamic industrial environment.In this episode of the Future Ready Podcast from Siemens, we are joined by one of our resident experts on the Digital Twin, Dominik Zettler, Vice President of Simulation for Industrial Systems at Siemens. The conversation explores how companies can alleviate obstacles to starting or scaling digital transformation. The discussion will also examine how artificial intelligence and the Digital Twin will synergize and evolve in the future.In this episode you’ll learn about: (00:00) Introduction(01:25) Attributes of digitalization leaders(04:41) How companies are scaling the Digital Twin(08:12) How we can lower the digitalization barrier-to-entry(11:27) Technologies that will drive the futureAbout the voices: Dominik Zettler is Vice President of Simulation for Industrial Systems at Siemens. Over more than 20 years in the industry, Dominik has experienced the growth of digitalization technology from early 3D modeling to the advanced digital twins in use today. Now, Zettler focuses on go-to-market strategies and the development of new business models. Zettler also has experience in project management and general contracting from prior positions, where responsibilities included managing large-scale automotive projects and P&L accountability.Conor Peick is a Marketing Professional creating forward-looking content for the Thought Leadership team at Siemens Digital Industries Software. Conor collaborates with industry experts and executives to produce impactful content exploring the challenges companies face and the technologies that can provide solutions.
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How are AI, Digital Twins, and software-defined systems reshaping the factory of the future? In this episode of the Future Ready Podcast, Mark Hindsbo and Nick Finberg continue their conversation to explore why the shift toward Software-Defined Systems actually requires more intelligent hardware. Together, they discuss how Digital Twins and AI enable manufacturers to simulate operations, detect risks earlier, and accelerate innovation across the factory floor. It’s an insightful look at the future of industrial operations. From looking inside pumps without interrupting flow to an examination of World War Two bombers, this is not an episode to miss. In this episode you’ll learn about:(00:00) More hardware, not less(04:57) Integrating multiple solutions(09:44) Early and expanded design spaces(15:50) Why Siemens?About the voices:Mark Hindsbo joined Siemens in 2025 as Head of Operations Software. He is leading a team to build an integrated and modular industrial operations software suite that allows customers to design, engineer, and operate their factories, data centers, or plants – powered by agentic AI and digital twins. His extensive career includes leadership roles at Ansys, Parallels, and Microsoft, alongside experiences at The Boston Consulting Group, Novo Nordisk, and CERN. Mark is also an Adjunct Professor at Carnegie Mellon University. Born and educated in Denmark, he holds an M.S. in Applied Physics & Mathematics from the Technical University of Denmark.Nick Finberg is a technical marketing writer and coordinator for Software-Defined Systems, with a background in Nuclear Engineering. He has worked with experts to cover many industries and topics including Automotive, Battery, sustainability, and systems engineering.
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AI isn’t a new technology yet, today, AI is taking off like never before, finding countless new opportunities not just for consumers but in the much more demanding worlds of business and industry as well. Reaching that point is not simply coincidence but a confluence of factors culminating in the Industrial AI landscape of today and tomorrowIn this episode, host Conor Peick is joined by guests Matthias Loskyll and Samir Desai to answer the question of why now? As well as understanding what it took for AI to reach where it has today, the broad spectrum of technologies that fall under the AI banner, and what that all means for industry.In the episode you’ll learn about:(0:32) Why Industrial AI now?(3:13) Consumer vs. Industrial AI(7:34) Managing non-deterministic AI results(9:10) Understanding the different types of AIAbout the voices:Matthias Loskyll is the Senior Director of AI and Robotics at Simens Digital Industries with a PhD in Production Automation.Samir Desai is the Senior Director and Global Program Head for Data and AI at Simens Digital Industries with more than 30 years’ experience developing and managing industrial software sweats.Conor Peick is a Marketing Professional creating forward-looking content for the Thought Leadership team at Siemens Digital Industries Software. Conor collaborates with industry experts and executives to produce impactful content exploring the challenges companies face and the technologies that can provide solutions.
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Manufacturing is – and will remain – fundamentally physical. Every gain from software-defined automation ultimately depends on hardware that can sense, communicate and act reliably on the shopfloor. The real opportunity is not replacing hardware but enhancing it through software-defined automation. Concepts like virtual sensors or AI-driven optimization can unlock new value. But at some point, real-world performance still depends on real data from physical systems and on hardware capable of deterministic execution. A shift to workflows like those in software development can be invaluable, but they need to still be understood in the context of the physical environment – the safety systems, machine limitations or how people will interact with machines on the shop floor. Rainer Brehm is back to talk about all this and more.In this episode you’ll learn about:(00:00) The future of hardware(03:13) Partnerships for modern production(07:35) A glimpse into the future(15:38) Incumbent or disruptor?(17:15) Human in the loopAbout the voices:Rainer Brehm is the Chief Operations Officer (COO) for the automation business and Chief Technology Officer (CTO) at Siemens Digital Industries. In these roles, he drives the strategic advancement of Siemens’ automation portfolio and leads the development of technologies such as Industrial AI and Software-Defined Automation to unlock the full potential of automation. His focus is on making production more adaptive, resilient, and sustainable. His vision is an automated automation that solves unknown tasks independently.Nick Finbergis a technical marketing writer and coordinator for Software-Defined Everything, with a background in Nuclear Engineering. He has worked with experts to cover many industries and topics including Automotive, Battery, sustainability, and systems engineering.
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Building adaptable, flexible automation system is both a goal and a challenge in the manufacturing world which must train powerful AI solutions to meet these needs. As the industry continues to embrace digitalization, not only will it training and testing of advanced AI systems be easier, it will be a key step in realizing the benefits of software defined automation and the Digital Twin.In this episode, host Spencer Acain is joined by Christopher Schuette, Senior Product Portfolio Manager for Robotics AI at Siemens Digital Industries to explore the benefits of AI in a highly digitalized environment and what that means for the future of AI-powered automation.In the episode you’ll learn about:(0:32) The shift to software defined automation(4:08) The next step for AI-powered automation(8:48) The future prospects of Industrial AIAbout the voices:Christopher Schuette is the Senior Product Portfolio Manager for Robotics AI at Siemens Digital IndustriesSpencer Acain is a technical marketing writer for AI thought leadership at Siemens Digital Industries with a background in Applied Mathematics and Mechanical Engineering.
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Pharmaceutical and life sciences companies are exploring advanced digital technologies to help speed up development and manufacturing. The Digital Twin, Industrial AI and the Industrial Metaverse can offer solutions, but operate best when built on a strong data foundation.In this episode of the Future Ready Podcast from Siemens, hear experts on the pharmaceutical and life sciences industry explore the potential of Industrial AI and the Industrial Metaverse, as well as the importance of strong data foundations.In this episode you’ll learn about: (00:00) Introduction(00:47) Less obvious AI applications(04:29) Using frameworks to manage AI risk(07:41) The Industrial Metaverse in pharma(18:05) Guiding principles for navigating complexity and changeAbout the voices: Maria Grahm is the Global VP of Life Sciences for Siemens. Maria is responsible for managing how Siemens applies its full portfolio, including smart infrastructure, digital industries, and software, to lead digital transformation from molecule to market.Andy Whytock is the Head of Market Strategy and Thought Leadership of Life Sciences at Siemens. Andy is responsible for driving digital transformation initiatives and thought leadership activities in the pharmaceutical and life sciences sector and specializes in helping life sciences manufacturers embrace digital transformation, adopt cutting-edge technologies and evolve into fully connected, data-driven and sustainable enterprises.Conor Peick is a Marketing Professional creating forward-looking content for the Thought Leadership team at Siemens Digital Industries Software. Conor collaborates with industry experts and executives to produce impactful content exploring the challenges companies face and the technologies that can provide solutions.
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Opportunity and growth are two of the most sought after components for building a successful business. That’s why the changes happening on the shop floor and in operations are so interesting. They’re not just for the passionate engineers who want to use a new tool or solve a new problem. No, the market on the whole is expected to double in the next five years.At the center of this shift is Software-defined Automation. The idea is simple: move more functionality into software so production systems can become more adaptable. On top of that, AI - and increasingly physical AI - is starting to change how decisions are made on the shop floor. Today, many systems are still reactive: they detect an issue and help operators respond. But the next step is already taking shape.In this episode you’ll learn about:(00:00) Introduction(01:00) Value from the value chain(04:49) Creating market opportunities(09:06) Proactive shop floors(15:20) The future of operationsAbout the voices:Mark Hindsbo joined Siemens in 2025 as Head of Operations Software. He is leading a team to build an integrated and modular industrial operations software suite that allows customers to design, engineer, and operate their factories, data centers, or plants – powered by agentic AI and digital twins. His extensive career includes leadership roles at Ansys, Parallels, and Microsoft, alongside experiences at The Boston Consulting Group, Novo Nordisk, and CERN. Mark is also an Adjunct Professor at Carnegie Mellon University. Born and educated in Denmark, he holds an M.S. in Applied Physics & Mathematics from the Technical University of Denmark.Nick Finberg is a technical marketing writer and coordinator for Software-Defined Everything, with a background in Nuclear Engineering. He has worked with experts to cover many industries and topics including Automotive, Battery, sustainability, and systems engineering.
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Consumer products companies have some of the largest portfolios of any businesses around the world. But even with the large overlap between products, many still operate within a more permanent framework for manufacturing. Make a large lot all at once, then adjust to the next product run. This is anathema to the consumer trends many of these companies are trying to follow.Software is helping change that. And Alastair Orchard joins us on the podcast to talk about how. From production change-overs to demand planning, let’s dive into the evolving shop floor and how it is impacting industries like consumer products.In this episode you’ll learn about:(00:00) Curious consumer products(05:43) Flexibility at scale(14:30) On demand production(16:41) An eye on the futureAbout the voices:Alastair Orchard runs Digital Enterprise Thought Leadership for Siemens Digital Industries, working with customers to become more flexible, cost effective, transparent and collaborative organizations. All while bringing their world-class products to market faster than their competitors. He is also the co-founder and CTO of dimax.cloud – a distributed manufacturing platform cutting costs, carbon and complexity from supply chains.Nick Finberg is a technical marketing writer and coordinator for Software-Defined Everything, with a background in Nuclear Engineering. He has worked with experts to cover many industries and topics including Automotive, Battery, sustainability, and systems engineering.
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Robotics have been a staple in manufacturing for decades, allowing certain repetitive tasks to be automated yet, for as powerful as automation is, replicating full human-like abilities is difficult to achieve. By incorporating AI with advanced robotics, a new level of flexible, adaptable, robotic systems can not only take on tasks previously limited to humans, but also support rapid product iteration and development in a way never before possible.In this episode, host Spencer Acain is joined by Christopher Schuette, Senior Product Portfolio Manager for Robotics AI at Siemens Digital Industries to examine what it takes to build production ready Industrial AI solutions capable of operating complex machines under a variety of conditions.In the episode you’ll learn about:(2:12) Upgrading to AI-powered robotics(4:23) Building more dynamic robotics with AI(9:41) Training AI for the shop floor(12:58) Data needs for production ready AIAbout the voices:Christopher Schuette is the Senior Product Portfolio Manager for Robotics AI at Siemens Digital IndustriesSpencer Acain is a technical marketing writer for AI thought leadership at Siemens Digital Industries with a background in Applied Mathematics and Mechanical Engineering.
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