The Industry Forward Podcast

Siemens Digital Industries Software

Join industry experts to explore the key trends, transformative technologies and real-world innovations that are reshaping fields from aerospace, industrial machinery and semiconductors to pharmaceuticals and beyond. Each episode delivers an in-depth discussion on the dynamic challenges industries are facing and how digitalization driven by AI, software and the comprehensive digital twin is meeting those challenges today and redefining the global industry of tomorrow.

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Friday · 16 min
How AI-Native EDA Helps Overcome Complexity
Semiconductors are rapidly growing in complexity. This growth in complexity is outstripping the ability of current tools and engineering methods, straining teams as they attempt to keep pace with modern demands for cutting edge chips. The arrival of industrial AI, however, can help these teams by accelerating tools and aiding engineers. In this episode of the Industry Forward Podcast, host Dale Tutt, Vice President of Industry Strategy at Siemens Digital Industries Software, sits down with Ankur Gupta, Executive Vice President of EDA Integrated circuit Software at Siemens EDA, to explore how the semiconductor industry is responding to an era of exponential complexity and how AI will help companies navigate the design of future chips. This episode will cover: Three ways industrial AI is changing EDA tools Multi-physics analysis and system-level design automation in modern chip development How AI-native EDA accelerates simulation speeds and connects data across domains The comprehensive Digital Twin approach in EDA And more!
Wednesday · 17 min
Why the digitalization of the life sciences is so unique
Unlike many other industries, data is overly abundant in the life sciences. Biological data, literature data, clinical data, formulation data, regulatory data and more flood the industry with information. But gaining insights from the intersections of these large data volumes is difficult as they are often isolated between disparate systems. The digitalization journey of the life sciences industry is about contextualizing and connecting this data so that the innovations available to other industries – like digital twins, simulations and artificial intelligence (AI) – are adapted for medical applications. The aim is to bring people, processes and products together to deliver better, more individualized therapies that are approved faster, administered earlier and as effective as possible. In this podcast you will learn: • 00:54 – How data generated for life sciences differs from data of other industries • 06:36 – What role Siemens plays helping life sciences digitalize • 10:08 – How the digitalization of life sciences compares to other industries John Nixon - Global Vice President of Process Industries at Siemens Digital Industry Software As Group Vice President for Process Industries at Siemens, John leads a global team that helps process industries leverage digital solutions that enhance efficiency, accelerate innovation and achieve sustainability goals. John has over three decades of experience in strategy, operations and technology deployment for energy, chemicals, life sciences and CPG. He is well versed in the operational and business pressures of industry, including regulatory demands, decarbonization, talent gaps and the push for innovation. Connect with John on LinkedIn Patrick Ansems - Global Head of Life Sciences at Siemens Digital Industries Software As Global Head of Life Sciences at Siemens, Patrick helps pharmaceutical and medical device organizations build comprehensive Digital Twin technology that spans development to manufacturing, and beyond. These tools accelerate innovation and deliver better therapies to patients. Patrick has 25 years of experience ranging from wet labs to digital transformation. He understands the complexity of scientific workflows and how to translate them into strategies that deliver business outcomes. Connect with Patrick on LinkedIn
September 16 · 21 min
Born on a digital thread: how AI and the Digital Twin redefine additive manufacturing
Additive manufacturing can be a great boon for the manufacturing industry as profit margins shrink, regulations increase and sustainable production accelerates in importance. Successful additive manufacturing requires a focus on speed and scalability, and software-defined manufacturing built on the Digital Twin and AI connect business operations while optimizing automated design and manufacturing processes. In this episode of the Industry Forward podcast, host Dale Tutt, Global Vice President of Industry Strategy, Siemens Digital Industries Software, and guest Jay Rogers, CEO of Haddy, discuss how digital technologies and artificial intelligence are converging to transform product development and production. This episode will cover: The parts machine learning and simulation play in optimizing additive manufacturing processes How to apply AI across maintenance, design, quality assurance, process optimization and future autonomous product creation Ways advanced digital tools and robotics can help drive the next generation of manufacturing
September 10 · 15 min
How EDA Is Evolving for a New Era of Semiconductor Complexity
Semiconductor complexity is accelerating at a pace that traditional design methods struggle to handle. As transistor counts race toward one trillion per chip, the tools and workflows that engineers rely on must evolve to keep pace. In this episode of the Industry Forward Podcast, host Dale Tutt, Vice President of Industry Strategy at Siemens Digital Industries Software, sits down with Ankur Gupta, who oversees Siemens' integrated circuit design portfolio, to explore how the semiconductor industry is responding to an era of exponential complexity and how AI will help companies navigate growing complexity. This episode will cover: Ankur's career journey from mathematics and control systems to leading AI-driven EDA solutions at Siemens What electronic design automation (EDA) is and why it is foundational to every chip in every device we use Why traditional EDA methods are no longer sufficient as chip designs grow more complex, more interconnected, and more constrained by physical and thermal realities A preview of how AI is beginning to change the EDA tools and solutions that semiconductor teams depend on
September 2 · 18 min
The future of manufacturing is local, flexible and digital
Manufacturing is undergoing a transformation driven by supply chain disruption, sustainability goals and the need for more flexible production models. Leveraging additive manufacturing can address these challenges, helping manufacturers to build a more resilient and sustainable production system while delivering greater customization and faster innovation. In this episode of the Industry Forward podcast, host Dale Tutt, Global Vice President of Industry Strategy, Siemens Digital Industries Software, sits down with guest Jay Rogers, CEO of Haddy, to explore how additive manufacturing, robotics and decentralized production are reshaping the future of industry. This episode will cover: Ways additive manufacturing enables greater flexibility during production How robotics and digital engineering help make large-scale additive manufacturing increasingly practical and accurate The advantages of thermoplastics and their contribution to making manufacturing more sustainable
August 28 · 12 min
Life sciences industry's big win: last in the digitalization race
Every process industry is unique, but few have the life-or-death stakes of the life sciences industry. This cost of failure, the regulatory burden that results and the heavy data load of the industry have slowed its adoption of new digitalization technologies, like comprehensive Digital Twins and artificial intelligence (AI). But this delay has a silver lining. The life sciences industry can now implement new digitalization tools that have been proven and perfected by others. And they can do so during a time where the industry stands to improve more than any other has. In this podcast you will learn: 00:50 – What Digital Transformation challenges uniquely affect life sciences 04:48 – How an explosion of data in life sciences outpaces other industries 07:01 – How this explosion of data affects the adoption of digitalization tools like AI John Nixon - Global Vice President of Process Industries at Siemens Digital Industry Software Connect with John on LinkedIn Patrick Ansems - Global Head of Life Sciences at Siemens Digital Industries Software Connect with Patrick on LinkedIn
August 26 · 16 min
Lattice Boltzmann is the future of CFD. Update now.
Chemical producers need quick answers when faced with operational issues. The opportunity cost of waiting for computational fluid dynamics (CFD) results is too high. Digital twins powered by the lattice Boltzmann method changes this dynamic. These digital twins, produced by Latticept, enable operators to test multiple scenarios, fixes, and optimizations in seconds. In this podcast you will learn: 01:00 – How fast is the lattice Boltzmann method compared to traditional CFD 02:58 – How the method produces better results than competing technologies 12:09 – Why the future of CFD is not AI, it is the lattice Boltzmann method Thiago Ribeiro - Global Head of Energy, Chemicals and Infrastructure at Siemens Digital Industries Software Connect with Thiago on LinkedIn Benjamin Turner – CEO and Principal Consultant at Latticept Connect with Ben on LinkedIn
August 21 · 28 min
What BFSI must do now to prepare for AI
The future of AI in the banking, insurance, and financial industry (BFSI) will be driven not just by technology, but by trusted data, strong governance, and pragmatic execution. Institutions that build solid data foundations and focus on achievable AI use cases are most likely to realize meaningful business value and lead the next wave of digital transformation in BFSI. In this Industry Forward podcast episode, host Kate Eby continues her discussion with Dylan Tancill, Vice President of Sales and Global Head of BFSI at Siemens Digital Industries Software, covering the ways financial institutions are moving from AI experimentation to enterprise-scale implementation while balancing compliance and trust. In this episode, you’ll learn: The importance of keeping the human in the loop as AI improves speed and insights How BFSI organizations can connect data, models and processes through the digital thread Ways to implement knowledge graphs to build better AI agents Challenges in modernization and ways to sidestep them
August 19 · 20 min
Hidden industrial AI secrets from beer, bees and more
As industrial AI becomes a necessity, process industry experts will face many challenges implementing the digital transformations necessary to deploy the technology. Fortunately, experts in adjacent industries are already a few steps ahead on this journey. To succeed, manufacturing experts must rely on the experience of these trailblazers. That is why this episode of the Industry Forward podcast features John Nixon, Global Vice President of Process Industries at Siemens Digital Industry Software, talking to Fred Husman, Senior Program Manager at SkyIO. In it, Husman discuss his over three decades worth of digitalization lessons from the beer industry and his bee-keeping hobby. In this podcast you will learn: 01:08 – What traceability and sustainability lessons brewing can teach the industry 09:22 – How new data extractions can be implemented without plant downtime 11:47 – What cybersecurity risks exist when leveraging industrial AI 13:09 – What digitalization lessons industry can learn from bees Read the transcript here. To learn more about industrial AI, click here. John Nixon - Global Vice President of Process Industries at Siemens Digital Industry Software Connect with John on LinkedIn Fred Husman – Senior Program Manager at SkyIO Connect with Fred on LinkedIn
August 14 · 20 min
How to make medical products that avoid Eroom’s law
Despite life sciences’ developments in science, instrumentation, data generation and compute power, Eroom’s law dictates that the price of developing new medical treatments doubles every nine years. Since the future of the medical field trends towards personalized healthcare, however, the economies of scale no longer work if each bespoke treatment follows this nine-year trend. To bend Eroom’s law into one that better resembles Moore’s law, life sciences experts need industrial AI and the comprehensive digital twin. In this podcast you will learn: 02:54 – How Eroom’s law dictates product development in the life sciences 06:35 – What data strategy challenges exist for personalized healthcare 10:25 – How to implement personalized healthcare in the wake of Eroom’s law 13:57 – How industrial AI and the comprehensive digital break Eroom’s law John Nixon - Global Vice President of Process Industries at Siemens Digital Industry Software Connect with John on LinkedIn Patrick Ansems - Global Head of Life Sciences at Siemens Digital Industries Software Connect with Patrick on LinkedIn
August 12 · 12 min
“Easy digital twin" tech could disrupt the chemical market
When production facilities acquire new reactors, it can often take weeks, even months, to work out the installation and operational kinks. And when they do, the process is typically based on intuition, trial and error or outdated expert experience. Latticept aims to disrupt this process via easy-to-use, real-time digital twins. With these simulations, production facilities can anticipate all potential issues ensuring equipment works on first use and throughout the asset’s lifecycle. In this podcast you will learn: 00:50 – How digital twins change production facilities 07:04 – How few production facilities have the data they need to maintain assets 08:44 – Production issue prevention and investigation workflows via digital twins Thiago Ribeiro - Global Head of Energy, Chemicals and Infrastructure at Siemens Digital Industries Software Connect with Thiago on LinkedIn. Benjamin Turner – CEO and Principal Consultant at Latticept Connect with Ben on LinkedIn.
August 7 · 19 min
Powering humanoids: the promise and reality of solid-state batteries
The future of batteries for humanoid robots will depend on close collaboration across the entire ecosystem and greater use of AI-driven, data-centric manufacturing approaches. Solid-state batteries stand out as a key enabler for humanoids. Solid state batteries boast higher energy density and improved safety, but successful deployment requires advances in battery management systems and thermal management. In today’s episode of The Industry Forward Podcast, host Dale Tutt, Global Vice President of Industry Strategy at Siemens Digital Industries Software, interviews Puneet Sinha, Global Head of Battery for Siemens Digital Industries Software, discuss how the Digital Twin helps companies address challenges as the importance of designing and scaling batteries grows. In this episode, you’ll learn: The importance of battery management systems The major benefits of solid state batteries as they come into development The complexity of battery design and thermal management How to leverage the Digital Twin to navigate these challenges
July 31 · 21 min
The foundation of financial AI: data, governance, and trust
Financial institutions have historically been early adopters of technologies such as analytics, machine learning, and AI. However, many organizations are burdened by large, complex legacy systems and strict regulatory requirements, which can slow modernization efforts. Before organizations can fully deploy advanced AI and agent-based solutions, they need clean and contextualized data. In this Industry Forward podcast episode, host Kate Eby interviews Dylan Tancill, Vice President of Sales and Global Head of BFSI at Siemens Digital Industries Software, about the current state of AI adoption in the banking, financial services, and insurance industries. This episode will cover: Major challenges in the BFSI industry Best practices for implementing more advanced AI models The importance of knowledge graphs and clean data to AI integration
July 29 · 13 min
Get with the program: Industrial AI won't suddenly vaporize
Industrial AI is here. The genie is out of the bottle. Those that adapt and embrace this new reality are setup to benefit from the technology’s force multiplication abilities. Those that cling to the way things were will be left in the dust. But AI is not a panacea, it pays to know what it can and cannot do. In this episode of the Industry Forward podcast, host John Nixon, Global Vice President of Process Industries at Siemens Digital Industry Software, talks to Fred Husman, Senior Program Manager at SkyIO. The pair discuss the impact AI will have and—perhaps more importantly—not have on the process industry over the next three to five years. In this podcast you will learn: 01:10 – The importance of AI to keep up with the competition 02:14 – What the process industry will look like over the next three to five years 05:46 – The future impact of AI on plant operations and industry 08:25 – How to know what you can and cannot do with AI Read the transcript here. To learn more about industrial AI, click here. John Nixon - Global Vice President of Process Industries at Siemens Digital Industry Software Connect with John on LinkedIn. Fred Husman – Senior Program Manager at SkyIO Connect with Fred on LinkedIn.
July 24 · 24 min
Powering the future of humanoid robotics
Humanoid robots must operate untethered and move freely in factories, making battery performance essential. To make humanoids practical for large-scale industrial deployment, the industry must improve battery runtime, charging speed, energy density and safety. In today’s episode of The Industry Forward Podcast, host Dale Tutt, Global Vice President of Industry Strategy at Siemens Digital Industries Software, interviews Puneet Sinha, Global Head of Battery for Siemens Digital Industries Software, discuss how batteries are a major constraint and enabler for humanoid robots. In this episode, you’ll learn: The critical improvements batteries need How batteries need to address AI computing The importance of collaboration between battery and humanoid manufacturers
July 23 · 14 min
Thanks for the reactor, now where is the digital twin?
It would be absurd if manufacturers delivered industrial equipment without operational manuals. Unfortunately, these “paper twins,” though helpful initially, decline in accuracy after years of operation, maintenance and wear. What if, however, equipment came packaged with a digital twin? One tailor made to the equipment delivered, down to every weld? Now imagine the benefits if said twin was physics informed, able to predict (in seconds) asset performance, maintenance and wear. This is the future Latticept delivers with its Boltzmann reactor. In this podcast you will learn: 00:35 – The shift from experience-based to physics-first equipment. 01:51 – What is the Boltzmann reactor and why it includes a digital twin. 08:27 – Why this digital twin technology is coming to us now. Thiago Ribeiro - Global Head of Energy, Chemicals and Infrastructure at Siemens Digital Industry Software Connect with Thiago on LinkedIn Benjamin Turner – CEO and Principal Consultant at Latticept Connect with Ben on LinkedIn
July 15 · 16 min
A devastating surprise industries see with AI integration
The artificial intelligence (AI) transition in the process industry is here. Soon, competitive advantages of AI will separate adopters from the pack. But to collect the data needed for AI, organizations must join operational technology (OT) and information technology (IT). In today’s episode of the Industry Forward podcast, John Nixon, Global Vice President of Process Industries at Siemens Digital Industry Software, [ET1.1]interviews Fred Husman, Senior Program Manager at SkyIO. They discuss how SkyIO customers, like Constellation Brands, can collect data from dozens of programmable logic controllers (PLCs), and similar systems, to create AI-enabled comprehensive digital twins. In this podcast you will learn: 03:09 – How the comprehensive digital twin helps industry prepare for AI integration 06:16 – The benefits of virtual controllers 12:59 – The need to have an OT-IT approach when working with production data Read the transcript here. To learn more about industrial AI integration, click here. John Nixon - Global Vice President of Process Industries at Siemens Digital Industry Software Connect with John on LinkedIn Fred Husman – Senior Program Manager at SkyIO Connect with Fred on LinkedIn
July 10 · 19 min
Expert predicts the digital future of the green process industries
The energy sector is going green. This, like any previous energy transition, is understood to be inevitable. But what will that future look like? And, more mysteriously, what paths must green process industries take to make alternatives of traditionally petrol-based products? In this podcast, John Nixon, Global Vice President of Process Industries at Siemens Digital Industry Software and Thiago Ribeiro, Global Head of Energy, Chemicals and Infrastructure at Siemens Digital Industry Software shed some light on these questions. In this podcast you will learn: 01:19 – Why green energy producers are born digital 08:42 – How green process industries make traditionally petro-based products 11:33 – What future generations might think of today’s society burning oil for energy Connect with John Nixon on LinkedIn. Connect with Thiago Ribeiro on LinkedIn.
June 26 · 23 min
Bottom line, people can't ditch oil. Is going green doomed?
Industry can not fully abandon crude oil. The number of derivative products made from petroleum are too vast and vital to survival. The food industry relies on fossil-derived fertilizers. Meanwhile, products from textiles to medications rely on ingredients and feedstocks isolated from oil. So, is the concept of industry “going green” even possible? This is the central focus of the latest episode of the Industry Forward Podcast. It features host John Nixon, Global Vice President of Process Industries at Siemens Digital Industry Software and his guest Thiago Ribeiro, Global Head of Energy, Chemicals and Infrastructure at Siemens Digital Industry Software. Their solutions will define the future of industrial environmentalism. In this podcast you will learn: 01:10 – Why oil and gas is still needed in a green future 04:47 – How going green is still possible for industries that need oil and gas 09:24 – Why industrial environmentalism has oil and gas companies rebranding 14:12 – What PLM and comprehensive digital twins can teach environmental causes Connect with John Nixon on LinkedIn Connect with Thiago Ribeiro on LinkedIn
June 19 · 20 min
AI is powering smarter, safer human-aware humanoids
The future of humanoid robots depends on combining AI-driven continuous learning and powerful semiconductor architectures that ensure humanoids can react instantly to the environment around them. In today’s episode of The Industry Forward Podcast, host Dale Tutt, Global Vice President of Industry Strategy at Siemens Digital Industries Software is joined by Michael Munsey, Vice President of Semiconductor Industry at Siemens Digital Industries Software. The experts delve into how humanoid robots operate safely around humans, how they learn and share knowledge and the next generation of semiconductor technologies enabling them. This episode will cover: Safety challenges when it comes to human-humanoid interactions How AI drives continuous learning The semiconductor’s importance to humanoid intelligence

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