Do you want to prevent equipment and machinery failure before it happens? Predictive maintenance applies Artificial Intelligence to industrial processes to reduce operation and maintenance costs, improve planning, extend the useful life of assets, improve occupational safety and increase the overall productivity of the company.

If you want more information from experts, we invite you to the session “AI revolutionises the industrial sector” that will take place on Thursday 15 June at 12 noon. The event will have a hybrid format that will allow you to attend in person at the Sala Monbull in Madrid or online. During the day we will also present a real case of use of AI for predictive maintenance and quality control.

We will talk about predictive solutions and the new revolution in the industrial sector. In addition to how to use predictive maintenance to improve results in the automotive sector.

We will present the real use case of the company SICA, with whom we have created a predictive maintenance solution for new generation railway electrical control and supervision systems, developed on the IBM Cloud Pak for Data platform.

At the end of the event we will hold a practical workshop in which participants will be able to discover how to tackle a predictive maintenance project with IBM technology in their own company.

12:00 Welcome and presentation – Ricardo Argüello, Director Habber Tec Spain

12:05 Predictive Solutions – The new revolution in the industrial sector – Patricia Narciso, Director Data & AIHabber Tec Portugal

12:20 How to use predictive maintenance to improve results in the automotive sector

12:35 SICA Use Case: Predictive Maintenance of railway traction transformers, developed in the Cloud Pak for Data – Sheila SanMiguel, System Development Engineer SICA

12:50 Improving the operational efficiency of your company through a predictive maintenance model based on IBM Data & AI software – Wolfram Rozas, Analytics Advisor Habber Tec

13:20 Workshop: How to start a predictive maintenance model in your company with IBM Data & AI technology?

13:40 Cocktail and networking