Levin Burkhart wird Ihnen mehr über Senseye Predictive Maintenance erzählen und wie Sie damit Maschinenausfälle erkennen können, bevor sie auftreten. Erfahren Sie, wie die KI-gestützte Lösung vorhandene Datenquellen nutzt, um Anomalien frühzeitig zu erkennen und Ausfälle vorherzusagen. So können Sie ungeplante Ausfallzeiten reduzieren, auf Echtzeitdaten zu Ihren Anlagen zugreifen, Kosten senken und Ihre Produktion zukunftssicher machen.Machen Sie mit uns den Schritt in Richtung intelligente Produktion und erfahren Sie, wie Sie Ihre Daten nutzen können, um Ihre Effizienz zu steigern.

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 you will learn about:The Hidden Cost of Poor Spare Parts Management: Discover how inadequately managed spare parts lead to significant capital tie-up, increased downtime, and often overlooked financial burdens in industrial settings.Why Spare Parts Are an Underserved Area: Understand the historical reasons behind the neglect of spare parts, from complex naming conventions and lack of transparency to accounting treatments that obscure their true impact.The Transformative Power of AI and LLMs: Learn how emerging technologies like Large Language Models (LLMs) can revolutionize spare parts management by accelerating RCM studies, standardizing inventory data, and enabling more strategic stocking decisions.Integrating Spare Parts into Your Digital Strategy: Explore how effective spare parts management is a crucial, yet often underestimated, component of a comprehensive digital transformation and predictive maintenance strategy.Gaining Executive Buy-in for Optimization: Get insights into how to justify investment in spare parts management by demonstrating clear return on investment through reduced working capital, minimized downtime, and enhanced operational efficiency.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

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.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

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 episode covers: Cut Through the Noise: Discover the true, underlying challenges customers face in maintaining their assets, moving beyond buzzwords to focus on what genuinely impacts production and downtime.Experience Rapid Intelligence: Learn how Senseye's software can "learn" an asset's normal operation in just 2-5 days, providing insights that might seem too good to be true, and how customer feedback directly shapes its evolution.Debunk Predictive Maintenance Myths: Understand that predictive maintenance isn't about eliminating all failures or replacing human expertise, but about optimizing maintenance timing and acting as a powerful decision-support tool.Witness Industry 4.0 in Action: Hear how digital transformation is delivering real, measurable success for companies across various sectors, making advanced asset monitoring more accessible and impactful than ever before.Strategize for Maximum Impact: Gain insight into how identifying critical pain points and understanding the ripple effects of asset failure are key to selecting the right machines for monitoring, ensuring significant return on investment.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

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, you will learn about:Defining the Role: You'll discover that a predictive maintenance champion is a key individual responsible for integrating new technologies like Senseye, ensuring its full utilization, keeping colleagues engaged, and effectively communicating its value across all levels of the organization.Why a Champion is Essential: Learn why having a dedicated champion is critical for the success of predictive maintenance initiatives, preventing them from being sidelined by other priorities and ensuring the technology's potential is fully realized.Overcoming Challenges: Understand the common hurdles champions face, such as resistance from experienced staff to new technologies and the administrative tasks involved. You'll hear how demonstrating tangible results is key to building trust and gaining acceptance.Measuring Impact: Explore how the success of a predictive maintenance program and the champion's contribution are measured, primarily through avoided downtime and documented cost savings, which ultimately makes maintenance teams' jobs easier.Becoming and Supporting a Champion: Get advice on how to become a champion by demonstrating technical aptitude and proactivity, and learn what leadership needs to do to empower and support these champions to ensure the long-term success of predictive maintenance efforts.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

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.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

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.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

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, you will:Discover real-world examples of how a modest investment in industrial IoT sensors can prevent hundreds of thousands of euros in unforeseen repair costs and scale asset monitoring exponentially.Learn the practical strategies for deploying predictive maintenance across diverse factory environments, including navigating outdated corporate guidelines and integrating with legacy systems.Understand the seamless journey of data from robust wireless sensors to intelligent, AI-driven insights that predict equipment failures and suggest precise next steps.Find out how advanced predictive maintenance technology is becoming accessible to businesses of all sizes, driving value and efficiency beyond just cost savings.Get an inside look at the unique synergy between Siemens, EL-Watch's cutting-edge sensor technology, and Senseye's AI platform, and how this collaboration is shaping the future of industrial reliability.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

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.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

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.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

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.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

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.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

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.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

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.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

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 Trend Detection, we explore why data is the single most important factor in the success of any predictive maintenance (PdM) strategy.  You'll learn which types of data matter most, how to overcome common challenges like silos and poor quality, and why you don’t need perfect data to get started. Whether you're just beginning your PdM journey or looking to scale, this episode will help you build a strong, data-driven foundation for long-term reliability and ROI. 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

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 episode discusses: Evolving Conversations: Discover why "IoT Time" is expanding its focus to embrace the cutting edge of AI and Generative AI, and how the arrival of GPT-5 is reshaping the landscape of technological discussion.Beyond the Hype: Uncover the critical difference between true AI agents capable of complex problem-solving and the marketing buzz that often mislabels technology.The Power of GPT-5: Learn how the widespread accessibility of GPT-5 is poised to revolutionize strategic planning and problem-solving, making advanced reasoning available to a much broader audience.Smart AI Adoption: Get practical insights into a successful, phased approach for integrating AI into your organization, and find out why jumping straight to complex "agentic" projects might be a costly mistake.The Cost of Inaction: Hear a powerful call to action on why embracing AI now is non-negotiable, and how to navigate common internal hurdles like data security fears and managerial skepticism.Connect with Peter: https://www.linkedin.com/in/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.We are joined by Dr Aris Alexoulis from Manchester Metropolitan University and Jordan Walters and Steve Jones from Siemens to discuss:How Siemens’ Connected Curriculum equips students with real-world Industry 4.0 skills by integrating Senseye Predictive Maintenance into university teaching.The structure of the three-week pilot at MMU: from ingesting data to configuring anomalies, trends, and thresholds, giving students hands-on PdM experience.The role of Senseye Copilot in supporting learning—using natural language to explain alerts, provide context, and extend teaching beyond the classroom.The impact on students’ employability and career pathways, with predictive maintenance skills shaping projects and future opportunities.How academic feedback drives product improvements—such as simplifying derived measures—and helps refine training for both students and industry users.Next steps for the program: embedding the module at MMU, scaling to other universities, and building a distributed network of Festo labs for collaborative PdM monitoring.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

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 Trend Detection, we sit down with Vahid Vahid Baharvand to explore how visualization tools are helping small and medium-sized enterprises (SMEs) turn complex data into clear, actionable insights. From real-time dashboards to predictive service assistance, we discuss how visualization streamlines operations, supports smarter decision-making, and drives measurable impact.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

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.• Why predictive maintenance is crucial in heavy industry environments, and how it differs from traditional maintenance approaches - from preventing catastrophic failures to optimizing machine performance• The real value of existing data in heavy industrial settings, and why organizations often underestimate what they already have while overestimating what they need• How predictive maintenance directly impacts workplace safety in heavy industry, with real examples of how monitoring and early detection can prevent dangerous situations• The rapid return on investment (ROI) potential in heavy industry applications, including examples of companies achieving ROI within weeks and saving millions through single preventive actions• The role of AI and copilot technology in democratizing maintenance knowledge, breaking down language barriers, and preserving crucial expert knowledge as experienced workers retire. 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

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 covers:Why long-standing manufacturers like Kotányi are embracing digital transformation—and what it takes to turn tradition into innovation with predictive maintenance.How starting with a single bottleneck machine helped Kotányi reduce downtime, prove value fast, and lay the foundation for future AI-driven improvements.Why success isn’t just about installing new tech—but about aligning with business goals, involving shopfloor teams, and making insights actionable.The critical importance of choosing the right partner—offering end-to-end solutions, domain expertise, and a collaborative approach that fits existing operations.Lessons learned from the frontlines: Avoiding change management pitfalls, breaking down silos, and scaling predictive maintenance with strategy, simplicity, and speed.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