Trend Detection Podcast

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants. For this session, we discussed the topic of Readiness for predictive maintenance in Japan - with Taku Shigihara.

This episode covers:

• Trends and Adoption: Growing interest in predictive maintenance in Japan, driven by efficiency needs and supported by AI and IoT investments.

• Cultural and Regulatory Impact: Japan’s strong quality focus and stringent regulations push adoption, but traditional practices and cautious decision-making can slow progress.

• Benefits and Innovations: Companies can expect cost savings and efficiency gains, with emerging sector-specific solutions and AI-driven analytics tailored for the Japanese market.

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 – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants. For this session, we discussed the topic of Improving safety with predictive maintenance - with Tom Jacques.

This episode covers:

• How Predictive Maintenance Enhances Safety: Discover how predictive maintenance can prevent equipment failures and reduce incidents, leading to safer industrial and operational environments.

• The Cost and Industry Impact: Learn about the cost-effectiveness of predictive maintenance and why it’s especially crucial in high-risk industries like manufacturing, aviation, and energy.

• Workforce and Compliance Considerations: Understand how predictive maintenance affects workforce roles, training, and compliance with safety regulations, contributing to overall job safety.

• Future Trends and Implementation Strategies: Explore upcoming innovations in predictive maintenance and get practical advice on how to begin implementing these strategies to improve safety in 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 – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants. For this session, we discussed the topic of Flowing Forward: Digital Transformation in the Water Industry.

Key takeaways:

• Broad Overview: We explore the concept of digital transformation in the water industry, an area often overlooked but crucial for modernizing essential services.

• Challenges & Scale: Discover the scale of the water industry's operations, including the delivery and treatment of billions of liters of water daily, and the extensive network of infrastructure that supports these processes.

• The Need for Change: Understand the necessity of digital transformation in an industry faced with aging infrastructure and the demand for increased efficiency and innovation.

• Learning Across Industries: How lessons from the water sector's digital shift can be applied to other industries and what all sectors can learn from these advancements.

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 – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

In this episode with Alex Hill, discover how our cloud-based machine learning platform has already revolutionized global maintenance, delivering millions in annual savings.

With the integration of Generative AI, a new era of Asset Intelligence unfolds, driving sustainability, efficiency, and unprecedented savings.

Learn how this innovative technology fosters knowledge sharing and impactful conversations among users, AI systems, and maintenance experts.

Elevate your maintenance strategy and embrace the future of Predictive Maintenance with Siemens.

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 – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

For this session, we were joined by Richard Ella to discuss

This episode covers:

• What are the key roles involved in implementing a successful predictive maintenance program?

• How important are reliability engineers and digital transformation leaders to the process?

You can also tune into:

Part one of the series here

Getting value from a predictive maintenance platform through customer success management here

Please subscribe via your selected podcast provider to be notified about future episodes.

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

In this exclusive episode Dan Reid & Niall Sullivan introduce Maintenance Copilot Senseye, the next evolution in predictive maintenance technology.

Experience firsthand how this Generative AI powered virtual maintenance assistant can help to:

• Experience firsthand how this Generative AI powered virtual maintenance assistant can help to:

• Reinterpret complex data in an easy to understand, natural language format

• Capture and retain the knowledge of experienced workers and make it accessible for future use

• Encourage global teams to form a collaborative approach to troubleshooting and maintenance, by allowing them to easily share insights and compare data across multiple locations

• Make better informed decisions by providing data-driven, prescriptive insights.

Vorausschauende Instandhaltung soll durch Senseye, eine Siemens KI-Anwendung, noch zuverlässiger werden und die Einstiegshürden verschwinden lassen - so zumindest die Theorie.

Wie es in der Praxis aussieht, das erfahren wir von Senseye-Projektleiter Andreas Dettmer und von Dominik Klemm, Anwender der ersten Stunde aus dem Gerätewerk Erlangen. 

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

For this session, we discussed the topic of The Power of Predictive Maintenance in Middle East Manufacturing - with Johnathan Bonner and Rakesh D'souza.

This episode covers:

• Overview and Benefits: Explanation of predictive maintenance and its advantages over traditional methods, including cost savings and improved efficiency.

• Key Technologies: Discussion on the crucial technologies enabling predictive maintenance and their accessibility to Middle East manufacturers.

• Implementation Challenges: Insights into the common challenges faced and solutions for integrating predictive maintenance in manufacturing processes.

• Economic and Environmental Impact: Analysis of the economic benefits, ROI, and contributions to sustainability through predictive maintenance.

• Future Trends: Exploration of emerging trends and the future direction of predictive maintenance in the Middle East manufacturing sector.

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

Watch the webinar recording here: https://www.siemens.com/mea/en/products/automation/senseye-process-manufacturing.html?elqTrackId=13141B270A7933953E7D5D3F977827C1&elq=0f5d884e93f7451995848a5a87f6a81f&elqaid=62147&elqat=1&elqCampaignId=#Registration

A digitalização está transformando radicalmente a forma como lidamos com a manutenção de equipamentos e instalações. A manutenção preditiva, em particular, emerge como uma ferramenta vital nesse contexto. Descubra como a plataforma Senseye, impulsionada por inteligência artificial e machine learning, pode te ajudar a prever e prevenir falhas economizando tempo e dinheiro.

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 – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants. For this session, we discussed the topic ofPredictive maintenance for charging infrastructure- with Stefan Lerbs.

Key takeaways:

• Focus on Data Analysis and Condition-Based Maintenance:

  • Exploring the role of advanced data analysis and maintenance strategies.

  • Emphasis on maximizing uptime for electric vehicle charging stations.

• Real-Time Insights for Preventive Maintenance:

  • Use of real-time data to identify potential issues before they escalate.

  • Ensures seamless operations and minimizes downtime.

• Impact on Electric Bus and Truck Fleets:

  • Importance of these strategies for maintaining efficient charging infrastructure.

  • Specific focus on electric buses and trucks.

• Future of Smart, Efficient Charging Infrastructure:

  • Discussion on the broader implications for the future of EV charging.

  • Highlighting the episode as essential for those interested in advanced charging solutions.

Please subscribe via your selected podcast provider to be notified about future episodes.

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