Siemens

·

Channel · 44 Shows

Technology

Technology

Updated Oct 22
Management

Management

Updated 06/02/2023
Marketing

Marketing

Updated Aug 31
Design

Design

Updated Jul 20
Technology

Technology

Updated Daily
Management

Management

Updated Weekly
Technology

Technology

Updated Daily

Nov 5

Martin Otto & Abhishek Ramchandran | AI at Machine Speed: The New Cyber Battlefield

In this episode, we sit down with Martin Otto, Head of Cybersecurity Research at Siemens, and Abhishek Ramchandran, Senior Key Expert for Critical Infrastructure Testing, for a conversation on what it takes to defend critical infrastructure in an age where attackers move at machine speed. Martin brings 20 years of operational technology security expertise. Abhishek is a red teamer, someone who breaks systems for a living. Together, they unpack one of the most asymmetrical challenges in modern defense: how do you protect everything when attackers only need to find one hole? Why did Stuxnet, a $1.2 billion piece of malware, fundamentally reshape how we think about operational technology security? How do you close the gap when autonomous AI agents are now achieving 90% success rates at discovering zero days? And what does it actually mean to defend at machine speed? Martin and Abhishek reveal how the knowledge gap that once protected critical infrastructure has been bridged by frontier models. They explain why honeypots are far harder than they sound, and why the real vulnerability isn't the technology, it's the people, the processes, and the guardrails we're not putting in place. Most provocatively: they argue that autonomous AI defense isn't optional anymore. Yes, it can hallucinate. Yes, it can make wrong decisions. But the probability of an imperfect AI making mistakes is smaller than the certainty of attackers running rampant at machine speed. It's a bet, and it's one we have to make.From the Stuxnet moment to quantum computing joining forces with AI, this conversation offers a rare, unfiltered look at the invisible war being waged right now, and what it actually takes to win it.
Jul 29

Digital First: How PepsiCo is Reimagining Operations at Scale

One of the world's largest food & beverage companies is digitally twinning its entire global operation - a bold industry first. Three leaders share the story. In this episode of Talking Digital Industries, host Conor Peick sits down with Steven Hoinka (VP of Global Manufacturing Strategy and Transformation, PepsiCo), Ali Peyrovi (VP of Global Warehouse Strategy and Transformation, PepsiCo), and Stuart McCutcheon (Global VP for the Industrial Metaverse, Digital Twin and NPDI, Siemens Digital Industries Software) to explore how PepsiCo is transforming its entire global operation with digital twin technology - a first in the food and beverage industry.
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
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.
09/12/2025

Optimizing Systems Engineering Begins with Digital Transformation

Thanks to the introduction of new technologies and tools, paths to make systems engineering in aerospace and beyond more holistic are now open. Yet, some companies are still slow to adopt these kinds of approaches to systems engineering. Why is that, and what do companies need to ensure they get their return-on-investment? In this episode of Taking Aerospace Today, Todd Tuthill, Vice President of Aerospace, Defense, and Marine for Siemens Digital Industries Software, is back with Dale Tutt, Vice President of Industry Strategy for Siemens, to conclude their exploration of the future of systems engineering. The key to building holistic systems engineering strategies, they say, lies in building a strong foundation in digital transformation. In this episode, you will learn: Why some companies struggle to adopt systems engineering strategies The risks of not optimizing systems engineering across the product lifecycle How the comprehensive digital twin provides the foundation for holistic systems engineering How systems engineering affects all engineers in a project 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
Nov 5

AIot Time - with Peter Schopf

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, Niall Sullivan is joined once again by Dr. Peter Schopf, an AI and organizational development expert with a background spanning industry, leadership and information systems.Drawing on his latest projects and research, Peter explores the shift from individual AI towards team-based AI, where shared knowledge, context and intelligent agents could help people collaborate, make decisions and solve problems more effectively.In this episode, we discuss:The shift from individual AI to team AI and what it could mean for organizationsAI agents on the factory floor, from shift handovers and troubleshooting to onboarding and knowledge sharingAI as a leadership assistant, including better meetings, decision-making and conflict resolutionWhy context matters, and how organizations can build and continuously improve shared AI knowledgeThe rapid evolution of AI engineering, from prompt and context engineering to skills, harnesses and multi-agent systemsKeeping humans in the loop, particularly as AI becomes more proactive and autonomousAdoption, security and trust, and why understanding how people interact with AI will be critical to scaling it successfullyPeter also introduces his work on European Verified Agents, a proposed research initiative looking at how team-based AI could be adopted effectively in industrial and organizational environments.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-maintenanceConnect with Peter on LinkedIn here.
Aug 13

Jochen Gross | Why Data Is the Foundation of Every Sustainability Transformation

In this episode, we sit down with Jochen Gross, who leads Data Strategy and Architecture within the Sustainability team at Siemens, for a conversation that challenges how we think about both AI and sustainability. Jochen takes us behind the scenes of one of the most complex data challenges in corporate history: building the foundation that makes sustainable decision-making actually possible at scale.Why has sustainability evolved from a values-driven conversation into a data-driven discipline? Why are frameworks like the CSRD accelerating rather than slowing down the industry?Jochen unpacks the tension at the heart of AI today: the same technology consuming enormous energy could be our most powerful weapon against climate change. From product carbon footprints to digital twins that turned a 50kg robot gripper into a 2kg polymer marvel, Jochen shows us that the greatest untapped opportunity in sustainability isn't policy or engineering — it's data. And if you think that sounds dry, think again.
Oct 29

When Predictive Maintenance Isn't the Answer - with Jordan Walters

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.Predictive maintenance can transform how manufacturers approach equipment reliability, but that doesn’t mean it’s the right solution for every asset, failure mode or situation.In this episode of the Trend Detection podcast, we're joined by Jordan Walters, Delivery Lead at Siemens, to explore when predictive maintenance makes sense, and when a different maintenance approach might be the better choice.In this episode, they discuss:Why the most critical assets aren’t always the best place to start with predictive maintenanceThe importance of having the right data, not simply more dataHow asset selection, failure frequency and available lead time can determine whether predictive maintenance will deliver valueWhy context is essential for AI to interpret machine behaviour effectivelyThe difference between not being ready for predictive maintenance and predictive maintenance not being right for a particular use caseWhy predictive maintenance should complement, rather than automatically replace, other maintenance strategiesThe role of maintenance teams and human expertise in validating insights and turning predictions into actionThe three foundations for success: the right data, the right machines and the right peopleYou 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
Oct 22

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 Trusio 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
Oct 22

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.

A technology company focused on industry, infrastructure, mobility, and healthcare. We transform the everyday to create a better tomorrow.