Siemens

-

قناة - البرامج: ‫٤٤‬

تسويق

تسويق

١٦ فبراير
إدارة

إدارة

يتم التحديث أسبوعيًا
تسويق

تسويق

١٨ مارس
التكنولوجيا

التكنولوجيا

يتم التحديث كل شهرين
التكنولوجيا

التكنولوجيا

٣ فبراير
التكنولوجيا

التكنولوجيا

يتم التحديث يوميًا
ريادة الأعمال

ريادة الأعمال

٢٦ مارس

١٨ مارس

#169 Beyond Rip-and-Replace: A Strategic Approach to Building Modernization

Outdated building systems aren't just inefficient; they lead to critical compliance gaps and significant security risks.In this episode, Jon Lester, Siemens Smart Infrastructure Marketing Expert, shares insights from his research on why organizations struggle to keep pace despite the critical triggers pushing for it. He then unpacks why a strategic, stepwise approach isn't just faster, but the only way to move from reactive "rip-and-replace" emergencies to a proactive, planned future. Tune in to learn how to do Modernization right.

١٨ مارس

-

٣٠ د
٠٨‏/٠٧‏/٢٠٢٥

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

٠٨‏/٠٧‏/٢٠٢٥

-

١٨ د
١٦ فبراير

Circularity: Next-gen industrial sustainability explored

Unlock industrial sustainability with digitalization & AI. Discover how circular models are reshaping business, driving investment, and building resilience. Real-world use cases included! In this episode of Talking Digital Industries, host Alex Chavez sits down with Eryn Devola, Head of Sustainability at Siemens Digital Industries, and Katja Grimme, sustainability analyst at IDC, to find out where circularity stands today and what tomorrow might have in store. Katja shares insights from IDC’s latest research, revealing where companies currently are and why investments in circularity are accelerating. In addition, Eryn explains how digitalization and AI can reduce adoption hurdles and make circularity efficient and successful.

١٦ فبراير

-

٢٢ د
٣ فبراير

Pina Schlombs | Industrial AI and Sustainability: Building Technology with Purpose

In this episode, we explore the intersection of industrial AI and sustainability with Pina Schlombs, Sustainability Lead and Industrial AI Thought Leader at Siemens. Pina shares her journey from competitive sports to leading transformative AI initiatives reshaping how industries approach environmental impact.We dive into how AI delivers measurable sustainability outcomes - from optimizing energy consumption by 10-20% to enabling circular product design through digital twins. Pina reveals insights from the Siemens-Reuters report showing 70% of executives expect positive sustainability impacts from industrial AI within three years. We tackle critical questions: How do we balance AI's resource hunger with its benefits? What happens to human expertise in the age of AI agents?Tune in for Pina's advice on building impactful solutions, her hope for true AI creativity, and why the most powerful technology is built with purpose.

٣ فبراير

-

٥١ د
قبل يومين

From AI Lab to Shopfloor: What It Really Takes to Deploy Industrial AI - with Christian Zillner

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 Christian Zillner, who leads global AI deployment for Digital Industries Automation at Siemens, to explore what it really takes to scale industrial AI from experiments to real shop‑floor impact.Drawing on hands‑on experience across industries, Christian shares practical lessons on what works, what doesn’t, and why many AI initiatives struggle to move beyond pilots, including:What industrial AI deployment really means—going beyond algorithms to include business cases, ownership, services, and organisational changeWhy many AI pilots fail to scale, from unrealistic expectations to non‑serviceable, custom architecturesThe human side of IT/OT convergence, and how unclear roles and ownership can derail progressHow to choose between cloud, edge, or hybrid AI based on latency, security, cost, and operational constraintsThe role of partners and ecosystems in taking AI from the lab to productionWhere AI delivers real value today—and where expectations still need groundingWhy standardising the deployment platform early is critical to long‑term scalabilityPractical advice for moving from experimentation to production with a small set of repeatable, high‑value use casesA refreshingly realistic discussion on industrial AI for anyone responsible for digitalisation, automation, or AI strategy in manufacturing.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 Christian on LinkedInhttps://www.linkedin.com/in/christian-zillner/

قبل يومين

-

٢٥ د
٢٨‏/١٠‏/٢٠٢٤

The power of 'NO!'

It isn't easy, saying 'No'. Especially if you are young, new in a team and feel the need to make a good impression, you'll accept nearly anything. But if you aren't careful you end up with exactly what you wanted to avoid: missed deadlines, disappointed colleagues and angry customers. And maybe, a burnout with permanent damage to your health, reputation and self esteem. So, how do you learn to say 'no' successfully? I explore this question with Joao Pereira and Ines Sobreira, both starting their Siemens careers, and Fernando Silva CEO for Siemens Portugal. To help me I also invited Lisa Stromberger, part of the MyGrowth Coaching team who has a background in psychology and cognitive behavioral science. So, if you want to understand the importance of being able to say 'no', and also how to do it, listen in!

٢٨‏/١٠‏/٢٠٢٤

-

٣٦ د
١٢‏/٠٩‏/٢٠٢٥

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

١٢‏/٠٩‏/٢٠٢٥

-

١٩ د
٢٤ مارس

Reliability in Regulated Plants: 5 Rules That Actually Scale - with Steve Lomax

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, the host is joined by Steve Lomax, an independent reliability and maintenance consultant with decades of experience in highly regulated pharmaceutical environments, who shares a practitioner’s perspective on predictive maintenance, reliability, and digital transformation.What predictive maintenance really means in regulated industries, focusing less on “magic AI” and more on reducing uncertainty, managing risk, and stabilising critical processes.Why reliability must be framed in business language, connecting maintenance decisions to availability, risk, patient impact, and CFO‑level financial outcomes.How global standards and local realities must coexist, with predictive maintenance deployed through a common framework but adapted site‑by‑site based on maturity, assets, and regulation.Why data quality, simplicity, and cultural readiness matter more than more sensors, starting with existing data and building trust in digital records and AI‑supported insights.How to introduce predictive maintenance without overwhelming teams, by focusing on asset criticality, bad actors, cross‑functional ownership, and a clear reliability roadmap.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 Steve on LinkedIn:https://www.linkedin.com/in/steve-lomax-56730912/Learn more about Rheon Insights:https://www.rheoninsight.co.uk/

٢٤ مارس

-

٣٥ د
٠١‏/١١‏/٢٠٢٣

#164 Modernization of fire safety services – Part I: A necessity, not a luxury

The average life span of a fire safety setup is 20-25 years – quite long compared to other disciplines. However, if we assume that a building has a life cycle of about 60 years, owners must expect to modernize their fire safety system 2-3 times. And these cycles are more than a 1:1 replacement. In this episode, Thomas Zermin, Global Portfolio Manager for Fire Safety Services at Siemens Smart Infrastructure, talks about the changes and constants in his 30 years of industry experience, some new drivers and the opportunities that IoT and cloud connectivity bring.

٠١‏/١١‏/٢٠٢٣

-

٢٠ د
١٨ مارس

From Student to Senseye Educator: Predictive Maintenance in the Classroom with Jasleen Kaur

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, we're joined by Jasleen Kaur, a graduate electrical and electronics engineer at Siemens Digital Industries, who shares her firsthand experience delivering industry‑led education through the Connected Curriculum initiative.How industry and academia can work together effectively through initiatives like Connected Curriculum to close the skills gap between university education and real-world engineering roles.The practical difference between condition monitoring and predictive maintenance, and why predictive maintenance adds real value by anticipating failures and reducing unplanned downtime.How AI-powered tools like Senseye (and its Copilot) help beginners and professionals alike interpret machine data, troubleshoot issues, and make informed maintenance decisions using natural language.What a real-world, hands-on predictive maintenance course looks like, including the use of synthetic data, staged learning over several weeks, and practical platform experience rather than theory alone.Why human judgment still matters in an AI-driven workplace, and how students are taught to combine critical thinking with AI insights rather than relying blindly on automated recommendations.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 Jasleen on LinkedIn:https://www.linkedin.com/in/jasleen-kaur-907391268/Previous episodes about Connected Curriculumhttps://podcasts.apple.com/ca/podcast/hands-on-with-ai-bringing-senseye-to-the-classroom/id1589803102?i=1000724963690

١٨ مارس

-

٢٩ د

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

موقع الويب