This webinar aims to introduce you to the different ways of enabling predictive maintenance in your systems - from consumer to industrial - and to provide a clear path to success in its implementation - both on the hardware and analytical front. With our ecosystem partner Klika Tech, we will show how to get started and scale across the business using the predictive maintenance evaluation kit.
Overview
Predictive maintenance is an innovative maintenance scheme for monitoring any asset’s health with various ways of implementation and scope. It's broad and it must be approached in the right way to add real value. This webinar aims to introduce you to the different ways of enabling predictive maintenance in your systems - from consumer to industrial - and to provide a clear path to success in its implementation covering both main aspects - hardware and software.
From sensor-enabled condition monitoring to fully integrated predictive maintenance, running at the edge or in the cloud, Infineon enables various levels of predictive maintenance with its portfolio and partner ecosystem so that the solution fits any customer-specific requirements and business needs.
During the webinar, we will present a use case, developed with Infineon ecosystem partner Klika Tech, showcasing the potential of this application applied to industry critical infrastructure - from HVAC to industrial automation or any other connected product that requires 24/7 monitoring and a better cost-effective maintenance scheme.
Key Takeaways
- Learn what makes predictive maintenance special and why it is essential for your application
- Gain insights on how predictive maintenance can be enabled according to any specific requirements with Infineon's portfolio and solutions
- Experience a deep-dive and case study: Development of condition monitoring and predictive maintenance solution in the Cloud, from hardware for field data collection with a set of highly accurate sensors as well as microcontrollers and embedded security to data analytics and visualization dashboard with ecosystem partner Klika Tech
- Discover how to implement condition monitoring as the base for predictive maintenance and scale across the business using the predictive maintenance evaluation kit
Speakers
Located in Munich, Germany, Manuel Hollfelder holds a Master´s Degree in Theoretical Physics acquired at the University of Bayreuth, as well as an MBA from the Collège des Ingénieurs in Paris.
Located in Munich, Germany, Luca Villa holds a Master´s Degree in International Business Administration at the University of Bergamo.
Joseph Zaloker has over 25 years of experience leading global, diverse, and high performing teams to drive digital transformations. He joined Klika Tech following his work as the Global Segment Leader IoT at Amazon Web Services (AWS), and provides Klika Tech customers and partners hands-on engineering, marketing, and sales experience using innovation and the application of technologies to help solve complex technical business challenges.