Siemens

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Channel • 44 Shows

Technology

Technology

Updated 1d ago
Marketing

Marketing

Updated Aug 31
Management

Management

Updated Weekly
Business

Business

Updated 07/22/2022
Self-Improvement

Self-Improvement

Updated Jul 30
Technology

Technology

Updated Bimonthly
Technology

Technology

Updated Daily

1d ago

Katalin Westhoff | Reinventing Financial Services and Scaling AI with Trust

In this episode, we sit down with Katalin Westhoff, who leads the AI Center of Excellence at Siemens Financial Services, for a conversation about what it really takes to scale AI responsibly.Katalin unpacks the tension at the heart of AI adoption: the same technology that demands rigorous governance is your most powerful weapon for unlocking business value. From everyday AI literacy programs that spark intrinsic motivation across 2,600+ employees to process redesigns that transformed how SFS thinks about credit decisions, she shows us that the greatest untapped opportunity in AI isn't the algorithm — it's the people.She reveals why you cannot just automate an existing process. Reinvention requires rethinking roles, processes, and business models from the ground up. And scaling AI isn't primarily a technical problem — it's a leadership opportunity.Whether you're navigating AI governance, building organizational capability, or leading through transformation, this episode offers practical insights on what it takes to scale AI with trust and purpose.
1d ago

Predictive Maintenance Is Not the Strategy - A panel discussion

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – which gives you visibility and insights into all your assets, from single machines to full plants to help you reduce downtime, increase knowledge sharing and accelerate digital transformation across your organization.Moving from reactive maintenance to a more predictive approach sounds straightforward. In reality, technology is only one part of the equation.In this episode of Trend Detection, Niall Sullivan is joined by maintenance and asset management experts Kevin Clark, Corey Dickens, Rachel Green and Marc Trucio to explore what it really takes to build a more proactive maintenance strategy.They discuss:Why predictive maintenance should be part of a broader asset strategy, rather than the strategy itselftHow manufacturers can move beyond reactive maintenance and escape “pilot purgatory”Why engaging maintenance teams early is critical to adoption and long-term successThe value of predictive approaches beyond reducing downtime, from workforce confidence and knowledge capture to better planning and decision-makingWhy having more asset data doesn't automatically translate into better insightsHow manufacturers can make use of data from older and less connected equipmentWhere industrial AI can support maintenance teams, including identifying anomalies, capturing expertise and making knowledge more accessibleWhy people, culture and change management can ultimately determine whether new maintenance technologies succeed or stallWhether you're still largely reactive or already expanding predictive maintenance across your operations, this episode explores how to take the next step towards a more proactive, data-driven approach to maintenance.You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance
Aug 31

Ready, set, crunch! How digitalization helps make the perfect Pringles chip

Can you taste the data? Discover how Pringles transformed the art of dough-making into a precise science. Learn how we helped turn a traditional factory into a Digital Enterprise where every chip is a perfect crunch. Listen in now!Nature is unpredictable, but your snacks shouldn't be. Host Alex Chavez explores how the Pringles factory in Kutno, Poland, uses Digital Twin tech to master raw material variability. Join Justyna Galusa and Jan Laenen from Pringles, along with our expert Daniel Klein, as they discuss how shifting from "feeling the dough" to "analyzing the data" led to a 10% boost in efficiency and a 13% reduction in waste.
Oct 7

Rethinking Predictive Maintenance: Evaluating Predictive Maintenance Properly - with Ryan Falcini

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – which gives you visibility and insights into all your assets, from single machines to full plants to help you reduce downtime, increase knowledge sharing and accelerate digital transformation across your organization.This is the third episode in Rethinking Predictive Maintenance, a Trend Detection podcast series exploring the people, data and decisions behind successful predictive maintenance.We're joined by Ryan Falcini to examine why some predictive maintenance evaluations demonstrate meaningful value while others struggle to progress beyond the pilot stage.Ryan explains why a successful evaluation must begin with a clearly defined business problem, the right assets and realistic measures of success. The conversation explores the limitations of free proof-of-concept projects, the importance of good operational context and why maintenance teams need to be involved from the beginning.In this episode, you’ll learn:Why predictive maintenance evaluations should start with a business objective, not the technologyHow choosing the wrong assets can create a misleading impression of valueWhy machine data needs operational context to produce useful insightsHow maintenance-team involvement builds trust and supports adoptionWhy predicting failures should not be the only measure of successWhat needs to be in place before an evaluation can progress to wider deploymentListen to discover how manufacturers can move beyond simply testing predictive maintenance and build the foundations for a scalable programme.You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance
08/29/2025

Upgrading Aerospace System Architectures with AI and SysML v2

To tackle rising complexity and keep new aircraft and spacecraft safe to fly, systems engineering strategies aerospace and defense needs to evolve. To ensure the successful integration of new software and electronics, they need to enable more cross-domain integration and collaboration between engineering domains. Fortunately, artificial intelligence and SysML v2 are the technologies that can bring this goal to fruition. In this episode of Talking Aerospace Today, Todd Tuthill, Vice President of Aerospace, Defense, and Marine, is joined again by Dale Tutt, Vice President of Industry Strategy for Siemens, to continue their discussion of the future of systems engineering in A&D. Together, they hone in on the role of AI and SysML v2 in updating systems engineering and companies’ system architectures to meet the challenges facing the industry today. In this episode, you will learn: The importance of systems engineering to ensuring product safety Where AI can improve systems engineering and engineers’ workflows How SysML v2 is different from SysML v1 The benefits SysML v2 brings to A&D companies and their system architectures Learn how Siemens technology can help your organization improve cross-domain collaboration, visibility and integration here. Connect with Todd Tuthill: LinkedIn Connect with Dale Tutt: LinkedIn Connect with Patty Russo: LinkedIn Resources: Siemens Aerospace & Defense website
02/02/2021

#105 UL and NFPA Standards in Fire Detection

In today's episode we are talking about fire detection. Our expert Dan Finnegan, Industry Affairs Head at Siemens Smart Infrastructures, tells everything about these standards that are the foundations for the safety of the buildings of today and tomorrow.
Aug 20

Industrial AI Beyond the Hype: Context, Reasoning and Autonomous Action - with James Loach

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – which gives you visibility and insights into all your assets, from single machines to full plants to help you reduce downtime, increase knowledge sharing and accelerate digital transformation across your organization.In this episode of the Trend Detection Podcast, we're joined by James Loach, Head of Research for Senseye Predictive Maintenance at Siemens, to explore what industrial AI means in practice and how it is changing the future of maintenance. James explains how statistical systems, machine learning and generative AI can work together to monitor assets at scale, investigate potential problems and provide more prescriptive guidance to maintenance teams. He also discusses why machine context, maintenance history and human expertise will become increasingly important as AI models grow more capable.In this episode, you’ll learn:What industrial AI means beyond the marketing terminologyHow machine learning and generative AI work together at scaleWhy context is critical for improving AI-generated insightsHow agentic AI could support more prescriptive maintenance decisionsWhy the future of maintenance could become increasingly autonomousYou can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance
Sep 24

Nils Janus | AI at Scale in Safety-Critical Manufacturing

In this episode, we sit down with Nils Janus, Chief AI Officer at Covestro, for a conversation on what it takes to deploy AI at scale across the safety-first world of chemical manufacturing. Nils brings a mathematician’s clarity and a background in theoretical computer science and psychology to the challenge of leading traditional industrial heritage into digital leadership.Why is Covestro replacing traditional 5-to-10-year IT roadmaps with agile 6-month game plans? How do probabilistic machine learning models win the trust of traditional chemical engineers to optimize batch cycle times? And what does it mean to define AI simply as Machine Learning plus Autonomy?Nils unpacks how automated plant monitoring unlocked double-digit million-euro cost avoidance, how Covestro’s internal AI Academy upskills domain experts into departmental AI leaders, and why Europe’s competitive edge lies in combining centuries of industrial heritage with AI innovation. From closed-loop plant control under strict safety guarantees to quantum-driven material simulation, this conversation offers a practical blueprint for turning AI ambition into bottom-line impact.
07/08/2025

Inside Intel 2/2 – Digital Twins, AI, and the Future of Semiconductors

Tune into Inside Intel for an exclusive deep dive into the future of semiconductors. This episode unpacks how Digital Twins technology is revolutionizing chip design and manufacturing processes, creating high-fidelity virtual replicas that accelerate innovation and optimize performance in the semiconductor industry. We'll explore the critical role of Artificial Intelligence (AI) in this transformation, from enhancing design automation to boosting factory efficiency and pushing the very limits of silicon technology. Discover how Intel is leveraging these advanced tools to shape its roadmap and drive the next generation of microchips and computing power. Learn about the complex synergy between cutting-edge AI and the chips that power our digital world. Essential listening for anyone interested in semiconductor innovation, AI in manufacturing, and the technological breakthroughs defining Intel's future.Moderators: Jonas Norinder and Don Mack, Siemens USASpeaker: Attila Lengyel, Senior Director of Corporate Research at IntelAbout Siemens in Semiconductors
07/02/2025

Inside Intel 1/2 – Digital Twins, AI, and the Future of Semiconductors

Tune into Inside Intel for an exclusive deep dive into the future of semiconductors. This episode unpacks how Digital Twins technology is revolutionizing chip design and manufacturing processes, creating high-fidelity virtual replicas that accelerate innovation and optimize performance in the semiconductor industry. We'll explore the critical role of Artificial Intelligence (AI) in this transformation, from enhancing design automation to boosting factory efficiency and pushing the very limits of silicon technology. Discover how Intel is leveraging these advanced tools to shape its roadmap and drive the next generation of microchips and computing power. Learn about the complex synergy between cutting-edge AI and the chips that power our digital world. Essential listening for anyone interested in semiconductor innovation, AI in manufacturing, and the technological breakthroughs defining Intel's future.Moderators: Jonas Norinder and Don Mack, Siemens USASpeaker: Attila Lengyel, Senior Director of Corporate Research at IntelAbout Siemens in Semiconductors

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