Build a Predictive Model for Industrial Machine Maintenance

November 4, 2021 - Online
Build a Predictive Model for Industrial Machine Maintenance

This webinar is hosted by our partner LIS Data Solutions and will be held in Spanish

Do you want to enter the world of digitization and industry 4.0?

Learn all the steps you need to apply AI in production processes. We’ll take a real use case and define a predictive model designed to improve and optimize the maintenance of industrial machinery. We will highlight typical problems that data experts face and show how they can be solved with KNIME software.

Join this webinar to gain more understanding about how to apply and get the most out of KNIME for AI applications in industrial environments.

We invite managers and maintenance managers of industrial companies or production managers to join.


  • Ignacio Valero: is an Industrial Engineer and Economist, with international experience in well-known brands. This technical-economic profile, has allowed him to deepen his knowledge of both optimization processes, as well as project implementation and management techniques.
  • Javier Otero: is Doctor of Physics from the University of Edinburgh. His field of interest is Artificial Intelligence and Advanced Data Analysis and has participated in the development of technological solutions for large companies.


How do I join the webinar?

You’ll receive a link with your registration confirmation. Make sure you have a stable internet connection!

Will I be able to ask questions?

Absolutely - fire away!

Where do I find the latest version of KNIME Analytics Platform?

Download the latest free, open source version of KNIME here: knime.com/download

What other resources will help me to get started in KNIME?
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