How to secure Life Sciences without hindering user experiences

The healthcare systems that science fictions (sci-fi) portray seem fantastical. Treatments to newfound diseases are designed, tested, simulated, developed, personalized and mass produced before the credits roll. This may seem unrealistic, but science fiction often predicts human technologies – even within Life Sciences. In this fascinating discussion, John Nixon - Global Vice President of Process Industries at Siemens Digital Industries Software and Patrick Ansems - Global Head of Life sciences at Siemens Digital Industries Software separate the fiction from reality. They then uncover the pillars needed to bring the future of healthcare to the present. In this podcast you will learn: 00:56 – How collecting more data is not the goal; its changing development cycles 06:51 – What are the three pillars of personalized medicine 08:45 – Why we must look close to home to rival the healthcare systems of sci-fi 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

A secure Life Sciences industry is essential as the data and intellectual property used in the sector affects both patient safety and medical device integrity. So, as digital transformations bring healthcare into the future, significant precautions must be made. There is a limiting factor, however, as to how to secure Life Sciences. Namely if the technology becomes hard to use then patients, doctors, technicians and engineers might reject these digitalization upgrades. In this podcast you will learn: 00:59 – How to innovate at scale while maintaining data compliance and security 06:12 – Why Siemens is reshaping the digital landscape of Life Sciences 10:39 – How composable architecture affects user experiences 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

Batteries will play a critical role in the future of energy. Already, battery technology has dramatically improved over the past two decades and is one of the key technologies enabling the next generation of innovations—from humanoid robots to AI infrastructure, and electrified transportation. 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, how digital technologies are transforming battery innovation and manufacturing across industries. In this episode, you’ll learn: How battery technology has rapidly advanced and what that means The acceleration of battery demand across industries Ways Digital Twin adoption can help manufacturers design and build batteries for the future.

The Life Sciences industry is scratching the surface when it comes to the implementation of the comprehensive digital twin and AI tech. For example, the tools have proven useful to determine how proteins might fold and bind. But industry leaders must think bigger. These tools promise to unlock personalized medicine and future treatments. The big challenge is that industries must first ensure vast sums of data (from lab, to manufacturing and even individual patient results) are AI and digital twin ready. In this podcast you will learn: 00:53 – How Life Sciences players are currently using AI tech and digital twins 03:52 – What a comprehensive digital twin looks like for Life Sciences 07:25 – What AI tech looks like for Life Sciences 09:01 – How Life Sciences players become digital twin and AI ready To read the podcast transcript on AI tech in Life Sciences, click here. To learn more about AI in the Life Sciences industry, click here. 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

Every moment matters in the racing world, both on the track and behind the scenes. Between compressed development cycles, constant rule changes and the relentless pursuit of performance, race car designers and engineers cannot afford any delay in building the perfect vehicle. They need the right tools that will connect teams and data and enable them to make the best design decisions with as little uncertainty as possible. That is where Digital Transformation comes into play. In this episode of The Industry Forward Podcast, host Kate Eby is joined by Mark Bringle and Jon Rittle, Marketing Director and Aerodynamics Engineers, respectively, for Joe Gibbs Racing. They explore how the racing world is using digital tools such as the comprehensive Digital Twin, simulation and industrial artificial intelligence (AI) to accelerate race car design and performance, as well as how it paves the way for digital innovation for the automotive industry and beyond. In this episode, you will learn: How the comprehensive Digital Twin influences engineering decisions The ways simulation has evolved over time Where AI plays a role in race car design and engineering An outlook on Digital Transformation in racing and beyond

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!

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

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

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

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