The Future-Ready Podcast: Industry & Beyond

Siemens
  • 0.0（0）
  • テクノロジー

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. 14時間前

    How AI and Global Trends Impact Semiconductor Manufacturing

    In this episode, host Conor Peick is joined by Katharina Westrich, Global VP of Electronics and Semiconductors at Siemens, to talk about the world of electronics and semiconductors and how it is changing amid the artificial intelligence transformation in industry.In the episode you’ll learn about:(00:20) Katharina’s journey to working in the electronics and semiconductor industry(03:14) What’s changing most dramatically in the industry now and in the near future(06:01) Other trends flying under the radar(09:11) The challenge of talent scarcity(10:13) More details on how AI is impacting the semiconductor industryAbout the voices:Katharina Westrich is Global VP of Electronics and Semiconductors at Siemens. In this role Katharina heads a team focused on unlocking the potential of resilient, smart, and sustainable semiconductor and electronics manufacturing across the entire value chain.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.

    How AI and Global Trends Impact Semiconductor Manufacturing

  2. 1日前

    Faster, Smarter, Trusted: A Framework for Industrial AI

    The focus of Industrial AI is shifting to systematic implementations across tools and workflows in engineering, manufacturing, operations and more. For Siemens, that means building AI capabilities around three clear pillars and delivering measurable results at each layer.In this episode of the Future Ready Podcast, host Spencer Acain is joined again by Samir Desai, Senior Director for AI and Data Strategy at Siemens Digital Industries Software. Samir and Spencer explore how Siemens is putting its industrial AI strategy into practice, from dramatically accelerating simulation and verification workflows to embedding copilots and agents directly into engineering tools, and finally to connecting data across disparate enterprise systems for faster, more confident decision-making.In this episode you will learn:(00:53) How AI is accelerating simulation and verification workflows(06:39) The distinction between copilots, domain agents, digital thread agents, and in-app AI and how they are helping engineers work faster and more effectively(15:39) The importance of human-in-the-loop design for AI agents in mission-critical industrial environments(17:14) Why connected data is critical for industrial AI and how modern solutions orchestrate across PLM, MES, ERP, and CRM systems(22:45) Intelligence Center X and the vision for a fully contextualized, AI-powered data environmentAbout the voices:Samir Desai is the Senior Director and Global Program Head for Data and AI at Siemens Digital Industries Software with more than 30 years of experience developing and managing industrial software suites.Spencer Acain is a technical marketing writer for AI and verticals thought leadership at Siemens Digital Industries with a background in Applied Mathematics and Mechanical Engineering.

    Faster, Smarter, Trusted: A Framework for Industrial AI

  3. 5日前

    From Rule Based to Goal Based Automation

    How can manufacturers create value with Industrial AI? What does it take to move towards an AI-powered autonomous production? In this episode of the Future Ready Podcast, Rainer Brehm and David Humphrey return for a third episode how software-defined automation is enabling these exact kinds of solutions.They also explore the role of AI agents, data fabrics and physical AI in the future of industry while sharing practical insights on where companies can start today. And gain a competitive advantage for tomorrow.In this episode you’ll learn about:(00:00) Shifting industrial expenditures(04:24) Creating value from investment(07:03) Solving the data challenge(10:23) From rule-based to goal-based automation(15:13) Humans, autonomy and what’s nextAbout 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.

    From Rule Based to Goal Based Automation

  4. 8月14日

    AI Fabric, Agents and Siemens’ Unique Approach

    As artificial intelligence (AI) adoption spreads, more companies are confronting realities around data storage, access and integration. As the future of increasingly autonomous AI agents looms, companies are eager to resolve issues in their data foundations in preparation for the future.In this episode of the Future Ready Podcast, we are joined again by Samir Desai, Senior Director for AI and Data Strategy at Siemens Digital Industries Software. Samir and Spencer explore how Siemens is putting its industrial AI foundation to work, from securing customer data in AI-powered workflows to the emergence of AI agents across the portfolio.In this episode you will learn:(00:10) Data security and access control in AI workflows(03:40) Future AI agents at Siemens(06:59) What makes Siemens stand out in the Industrial AI spaceAbout the voices:Samir Desai is the Senior Director and Global Program Head for Data and AI at Siemens Digital Industries Software with more than 30 years of experience developing and managing industrial software suites.Spencer Acain is a technical marketing writer for AI and verticals thought leadership at Siemens Digital Industries with a background in Applied Mathematics and Mechanical Engineering.

    AI Fabric, Agents and Siemens’ Unique Approach

  5. 8月7日

    What the future of manufacturing holds

    Bringing manufacturing closer to the consumer can, for many products, make a lot of sense yet, to achieve that, no single company could hope to have enough facilities to serve all their customers worldwide. To achieve this dream will require the ability to delegate production to local factories capable of rapidly reconfiguring to produce a given product no matter what it might be, something that is currently out of reach, yet still tantalizingly close.In this episode, host Conor Peick is joined by Alastair Orchard to look at the future of production where AI, digitalization and smart contracts enable the paradigm of the factory owner-operator who can, by contract, locally produce goods from major brands the world over.In the episode you’ll learn about: (0:20) Smart contracts enable distributed manufacturing(3:09) Resilient production through factory owner-operators(7:23) What the future of AI-enabled modular factories looks likeAbout 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.

    What the future of manufacturing holds

  6. 8月5日

    Move from collecting data to executing on it

    Businesses across industries and regions have already invested in how to collect data, some even hired entire teams to make it more readable without a degree in data science. But it is not helpful to just look at it. The goal was, and is, to make it actionable. Edge computing has started many businesses down this transition, but software-defined automation and even AI tools are bringing these insights into the factory execution layer to do even more.In this episode of the podcast, Rainer Brehm sits down with David Humphrey of ARC and our guest moderator Conor Peick for part two of their three-part conversation.In this episode you’ll learn about:(00:00) Investing in execution(03:13) An open ecosystem(07:45) Trailblazing industries & regions(15:20) CapEx to OpExAbout 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.

    Move from collecting data to executing on it

  7. 7月29日

    Industrial vs Consumer AI: Exploring the Difference

    Artificial intelligence (AI) has exploded into mainstream discourse as technologists, professionals and general consumers gain familiarity with generative AI assistants and chatbots. Yet as AI adoption accelerates, industrial users must understand the critical distinction between consumer and industrial-focused AI.In this episode of the Future Ready Podcast, we are joined by Samir Desai, Senior Director for AI and Data Strategy at Siemens Digital Industries Software. Samir helped us dive into the difference between consumer and industrial-grade AI, how industrial AI solutions are developed and the different roles occupied by key players in the industrial AI landscape.In this episode you will learn:(00:00) Introduction and Samir’s background(02:01) How hyperscalers and software developers partner(10:32) How Siemens approaches industrial AI integrationAbout the voices:Samir Desai is the Senior Director and Global Program Head for Data and AI at Siemens Digital Industries Software with more than 30 years of experience developing and managing industrial software suites.Spencer Acain is a technical marketing writer for AI and verticals thought leadership at Siemens Digital Industries with a background in Applied Mathematics and Mechanical Engineering.

    Industrial vs Consumer AI: Exploring the Difference

  8. 7月24日

    What it Takes to Build a Modular Factory

    The idea of a modular factory brings to mind something space age and futuristic, with the ability to rapidly adapt and scale production systems through a network of connected shops providing different services yet, to achieve that, there are many real challenges to overcome. From quality to the human factor, creating a modular factory that can meet the demands of modern product design is no easy task.In this episode, host Conor Peick is joined by Alastair Orchard to discuss what it takes to ensure a modular factory concept is up to the task of creating a high quality product as well as the importance of combining both advanced digitalization concepts with human in the loop elements to achieve an ideal result.In the episode you’ll learn about: (0:18) How to maintain quality in a modular factory(3:28) The importance of AI and the Digital Twin(7:06) The human factor in flexible productionAbout 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.

    What it Takes to Build a Modular Factory
すべて見る（41）

番組について

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.

情報