The L-DIH Talks is a series of webinars designed to inspire future-oriented manufacturing companies eager to leverage emerging technologies to stay ahead of the curve.
Stop reacting to machine failures and start predicting them! This L-DIH Talks webinar will equip you with the knowledge and insights to implement data-driven predictive maintenance in your industrial setting.
Tired of reactive maintenance disrupting your production? In this practical webinar, we'll explore predictive maintenance using a real-world dataset (available on GitHub) from a Bosch industrial machine. Our speaker will guide you through the process of analysing this data to predict machine behaviour, identify potential failures and anomalies, save time, better forecast your maintenance needs and optimise your maintenance schedules.
Why attend?
- Understand the core principles of data analytics and their application to predicting machine failures.
- Discover proven techniques and industry-leading strategies and workflows for successful predictive maintenance implementation.
- Get introduced to machine learning and deep learning frameworks relevant to predictive maintenance.
- See a live demonstration using the Bosch machine dataset, and learn how to apply these techniques to data from your own industrial equipment.
Who should attend:
- Industrial maintenance professionals
- Production managers and supervisors
- OT/IT professionals involved in plant operations
- Anyone interested in leveraging data for proactive maintenance
- Professionals seeking to improve plant efficiency and reduce downtime
Don’t wait for breakdowns and costly downtime – predict them and take action!
