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On behalf of Polteknik, Stigo, and StatSoft, we invite you to a webinar where we will guide you through all stages of a successful predictive maintenance project – from defining the business problem, through data analysis, to a fully implemented solution.
We will present a real-life project focused on developing an IT solution that enables early detection of component wear, identifies increasing risk of machine failures, and supports proactive maintenance actions – preventing costly downtime.
During the webinar, you will see how this objective was achieved in practice.
A unique value of this session is presenting the project from three complementary perspectives: business, data analyst (model development), and software developer.
June 9, 2026 | 2:00 – 3:00 PM CEST
Register here: Teams
Agenda:
- Business perspective, project assumptions, and objectives
- Methodology and data analysis in predictive maintenance projects
- Data collection process and user interface
- Q&A
What will you gain?
- learn how to align business goals with data analysis and IT implementation
- understand how to work with real production data
- discover how to build models with real operational value
- get practical guidance on running similar projects in your organization
- explore a real-life case study of a successful implementation
We warmly invite you to join! The event is free of charge. The number of seats is limited, and registration is only accepted from corporate email domains.