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.

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.

This episode covers:

Participants from Siemens share insights on their roles in marketing and services, emphasizing the significance of digitalization. They discuss motion control and transformation project responsibilities, highlighting the positive impact of digital transformation on customers.

The conversation addresses common challenges and outlines Siemens' solutions, including consultancy and technology deployment. A success story from the aggregates industry showcases the benefits of connectivity and analytics, reinforcing the importance of starting the digitalization journey with Siemens as a trusted partner.

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.

This episode discusses:

• Cutting Through the Hype: Discover how manufacturers can move from buzzwords to real business benefits with digital transformation.

• Avoiding Pilot Purgatory: Learn why so many Industry 4.0 initiatives stall—and what it takes to scale successfully.

• The Power of Smart Industry Readiness: Explore the SIRI framework and how it helps manufacturers benchmark and prioritize their digital strategies.

• AI in Manufacturing – What’s Real vs. Hype? From predictive maintenance to supply chain optimization, find out where AI is making a real impact.

• Lessons from the Frontlines: Nick Leader shares insights from decades of experience, helping companies bridge the gap between technology potential and operational reality.

• SIRI (NL&Co): https://nickleeder.com/igniteit-smart-industry-readiness-index/

• SIRI Official Pages: https://incit.org/en/what-we-do/siri/

• Buzzwords to Benefits Landing Page: https://info.nickleeder.com/b2b

• Buzzword dictionary: https://nickleeder.com/beyond-the-buzzwords/buzzword-dictionary/

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.

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.

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.

This episode discusses:

• Real-World Collaboration in Action: In this episode, we learn how the Connected Curriculum initiative bridges the gap between academia and industry, giving students hands-on exposure to cutting-edge industrial technologies.

• Empowering Educators and Learners: The discussion shows the value of the “train the trainer” model, where academic staff are equipped with tools like Senseye to then deliver live, interactive learning experiences to students.

• Innovative Approaches to Data Use: A key takeaway is how the initiative overcomes challenges in accessing sensitive industrial data—starting with synthetic data and moving to real data in controlled environments.

• Building a Future Talent Pipeline: We discover how competitions and skills summits, such as the upcoming event on July 3, 2025, help connect students with industry partners, creating a strong pathway for future careers.

• The Power of Partnership: The episode highlights the positive impact of collaborative efforts, emphasizing that a successful blend of academic insight and industrial expertise leads to enriched learning experiences and better-prepared graduates.

Quote: We started Connected Curriculum as a way of supporting academia to help it understand these challenges, and to help it basically produce learners who were better prepared to hit the ground running in industry”

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 SMEs, digital transformation begins with understanding their current operations. This episode discusses how Siemens’ tools like Predictive Service Analyzer help small and medium businesses identify inefficiencies and unlock potential for growth without requiring extensive resources.

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.

This episode covers:

• Digital Transformation in Manufacturing – Brian Holliday, Managing Director of Siemens Digital Industries UK, shares insights on how digital technologies are reshaping manufacturing, from SMEs to large enterprises.

• Challenges Facing Manufacturers – Discussing key industry challenges in 2025, including skills shortages, under-adoption of technology, supply chain resilience, and sustainability.

• The Role of AI and Predictive Maintenance – Exploring how AI, including GenAI and predictive maintenance solutions like Senseye, is driving efficiency, reducing downtime, and making industrial data more accessible.

• The Power of Collaboration – The impact of initiatives like Made Smarter and the role of partnerships between government, industry, and academia in accelerating digital adoption.

• The Future of Industry: The Industrial Metaverse – A look at how digital twins and the industrial metaverse will revolutionize manufacturing, enabling real-time collaboration, simulation, and data-driven decision-making.

Quote of the episode: I think the analysts now are all predicting that the the greatest use of that environment will be in industry. It is the ultimate use of data at scale to to help companies and countries make better decisions.

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.

This episode discusses:

• What Predictive Maintenance Really Is – A clear, non-technical breakdown of predictive maintenance, why it matters, and how it helps businesses reduce downtime and costs.

• Why You Likely Already Have the Data You Need – Many companies assume they need expensive sensors, but most already have valuable data—they just need to centralize and use it effectively.

• How to Achieve Quick Wins & ROI – Learn why predictive maintenance isn’t as costly or complex as it seems, and how companies are seeing returns in months, not years.

• The Role of Culture & Strategy – Technology alone isn’t enough. Discover why having the right mindset, business alignment, and workflows is key to success.

• How AI & Copilots Are Changing the Game – Understand how AI-powered copilots are bridging the skills gap, helping teams make smarter decisions, and making predictive maintenance more accessible than ever.

Podcast quote:"Return on investment comes much quicker than people think. A misconception is how expensive it can be to implement. And it's not."

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.

This episode discusses:

• Predictive Maintenance & ROI: The episode discusses the transition from reactive to predictive maintenance and how establishing clear return on investment (ROI) metrics is key to justifying and optimizing maintenance strategies.

• Key Performance Indicators (KPIs): It outlines essential KPIs—including unplanned downtime, maintenance-related downtime, asset life extension, efficiency gains, and knowledge retention—that together define success.

• Building Trust & Collaboration: Emphasis is placed on the importance of engaging in honest, detailed conversations with customers to build trust and align expectations, ensuring that predictive maintenance projects deliver real value.

• Data-Driven Decision Making & AI Adoption: The conversation highlights how leveraging data and generative AI can provide deep insights into asset performance, enabling more intelligent maintenance practices and faster diagnosis.

• Continuous Learning & Knowledge Sharing: The episode underscores the value of capturing, sharing, and using knowledge—both successes and setbacks—to continuously improve maintenance processes and reduce overall downtime.

Quote of the episode: “Return on investment KPIs are like layers in a ladder—you can’t jump straight to one without establishing a baseline. They’re all interwoven and necessary to build a complete picture of success.”

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