The Future-Ready Podcast: Industry & Beyond

Siemens

A podcast series exploring the future of industry and the ideas, technologies, and transformations shaping what comes next. In each episode, industry leaders and experts discuss how they bridge the physical and digital worlds to accelerate change. The podcast explores how AI, software, and data are reshaping the design, production, and operation of complex products - and how organizations can turn complexity into opportunity and stay future-ready.

  1. How Data and the Digital Twin are Building the Future of Industry

    2d ago

    How Data and the Digital Twin are Building the Future of Industry

    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.

    22 min
  2. Managing the adoption of Industrial AI

    May 29

    Managing the adoption of Industrial AI

    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.

    19 min
  3. Scaling the Digital Twin to Boost Industrial Value

    May 28

    Scaling the Digital Twin to Boost Industrial Value

    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.

    19 min
  4. What if factories could test the future before it happens?

    May 20

    What if factories could test the future before it happens?

    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.

    18 min
  5. Understanding the rise of Industrial AI

    May 15

    Understanding the rise of Industrial AI

    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.

    13 min
  6. Why Software Makes Hardware Matter More

    May 8

    Why Software Makes Hardware Matter More

    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.

    22 min
  7. Scaling AI and Data Foundations in Pharma and Life Sciences

    Apr 13

    Scaling AI and Data Foundations in Pharma and Life Sciences

    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.

    22 min

About

A podcast series exploring the future of industry and the ideas, technologies, and transformations shaping what comes next. In each episode, industry leaders and experts discuss how they bridge the physical and digital worlds to accelerate change. The podcast explores how AI, software, and data are reshaping the design, production, and operation of complex products - and how organizations can turn complexity into opportunity and stay future-ready.