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Trend Detection Podcast

Siemens
Predictive Maintenance
Digital Transformation
Artificial Intelligence
Siemens
Iot
Generative AI
Process Industries
Aerospace
Automotive Manufacturing
Heavy Industry
Manufacturing
Senseye
Senseye Predictive Maintenance
Workplace Safety
ITOT Integration
Reliability Engineering
Culture In Organizations
Data Strategy
AI Adoption
Data Architecture

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, powered by Siemens, which enables predictive maintenance at scale across all of your assets, across all of your plants.Listen to gain insights from our bi-weekly live events and interviews with industry experts about all things predictive maintenance, IoT and digital transformation.Please subsc... more

PublishesWeeklyEpisodes233Founded4 years ago
Number of ListenersCategory
Technology

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Artwork for Trend Detection Podcast

Latest Episodes

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 a... more

YouTube

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 a... more

YouTube

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 ... more

YouTube

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 a... more

YouTube

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 a... more

YouTube

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 a... more

YouTube

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 a... more

YouTube

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 a... more

YouTube

Key Facts

Accepts Guests
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Recent Guests

Roland Zittl
Technical Director and responsible for project execution at Sachsenmilk
Sachsenmilk
Episode: Senseye in Action – Predictive Maintenance für die smarte Fabrik
Corey Dickens
Technical resource and expert for the sales team at Brightly
Brightly
Episode: Common Challenges in CMMS-Predictive Integration - with Corey Dickens
Mikhail Shaferman
Sales Vertical Manager for Vertical Automotive at Siemens.
Siemens
Episode: Solving Automotive’s Biggest Challenges Through Predictive Maintenance- with Mikhail Shaferman
Anton Siering
Lead Business Development and Sales for Digital Portfolio at Siemens
Siemens
Episode: The Power of Prediction: How Siemens Helps Automotive Companies Stay Ahead - with Anton Siering
Peter Schopf
Industry expert in predictive maintenance and AI
Senseye
Episode: AIot Time - with Peter Schopf
Vahid Baharvand
Part of the digitalization hub of the ICSMC
Siemens
Episode: Visualization – Turning Data into Decisions - with Vahid Baharvand
Stewart McVinnie
Digital Transformation Manager at New Zealand Steel
Blue Scope Steel
Episode: New Zealand Steel Success Case Deep Dive - with Stewart McVinnie
Dominik Brenner
Business developer specializing in digitalization and connectivity.
Siemens
Episode: Connectivity – Bridging the OT-IT Gap for SMEs with Dominik Brenner
Tim Hunt
Customer Access Manager at Senseye, with extensive experience in maintenance and predictive maintenance strategies.
Senseye
Episode: More Than Support: Customer Success as a Strategic PdM Ally - with Tim Hunt

Hosts

Liz McGinn
Host of the show with expertise in predictive maintenance and digital transformation.
Nial Sullivan
Co-host and expert in predictive maintenance topics, focusing on practical applications in industry.

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Tomorrow, Today
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Hard Fork
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Building AI Boston
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Talking Points

Recent interactions between the hosts and their guests.

Common Challenges in CMMS-Predictive Integration - with Corey Dickens
Q: Why is it important to integrate these two from your perspective, Corey?
Integrating allows for more streamlined solutions that reduce context switching for maintenance teams and enables them to leverage historical data effectively.
The Spare Parts Puzzle: Insights with Richard Jeffers
Q: Is spare parts a natural starting point for digital transformation?
Spare parts management is viewed as a legacy problem that should be addressed from the beginning in a Greenfield factory to prevent issues from arising.
The Spare Parts Puzzle: Insights with Richard Jeffers
Q: How do you justify and where would you start advising an organization about spare parts management?
Richard emphasizes the need to quantify the spare parts in terms of working capital and the opportunity to reduce it by making informed decisions about inventory management.
The Power of Prediction: How Siemens Helps Automotive Companies Stay Ahead - with Anton Siering
Q: What would you say is a realistic first step for manufacturers considering predictive maintenance?
Start with a pilot on a few critical assets and expect to see actionable insights within two to three weeks of deployment.
The Power of Prediction: How Siemens Helps Automotive Companies Stay Ahead - with Anton Siering
Q: What are the improvements an automotive manufacturer can expect from predictive maintenance?
On average, manufacturers can reduce unplanned downtime by about 50%, cut maintenance costs by 30%, and increase asset lifetime by over 20%.

Audience Metrics

Listeners, social reach, demographics and more for this podcast.

Listeners per Episode
Gender Skew
Location
Interests
Professions
Age Range
Household Income
Social Media Reach

Frequently Asked Questions About Trend Detection Podcast

What is Trend Detection Podcast about and what kind of topics does it cover?

Focused on the intricate world of predictive maintenance, the content includes a wealth of insights related to the integration of artificial intelligence and Internet of Things (IoT) technologies in industrial settings. Key guests spanning various sectors share their real-world experiences, challenges, and successful implementations of predictive maintenance strategies, emphasizing the transformative power of data and technology in enhancing operational efficiency and sustainability. Notable discussions also explore the educational aspect of technology adoption, including its impacts on workforce skills and training in the rapidly evolving industrial landscape. Audience engagement is likely fostered through practical examples that illustrat... more

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Which podcasts are similar to Trend Detection Podcast?

These podcasts share a similar audience with Trend Detection Podcast:

1. Hidden Brain

How many episodes of Trend Detection Podcast are there?

Trend Detection Podcast launched 4 years ago and published 233 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on Trend Detection Podcast?

Recent guests on Trend Detection Podcast include:

1. Roland Zittl
2. Corey Dickens
3. Mikhail Shaferman
4. Anton Siering
5. Peter Schopf
6. Vahid Baharvand
7. Stewart McVinnie
8. Dominik Brenner

To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.

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