03/06/2021

LeanBI presents at the AI Use-Case Talk Series 2021 of the Data Innovation Alliance

LeanBI presents at the AI Use-Case Talk Series 2021 of the Data Innovation Alliance on the topic: Productive implementation of complex predictive maintenance using

30/11/2020

HSR Enhanced wins the Cybathlon in the category Powered Wheelchair Race

Pilot Florian Hauser from HSR enhanced wins the Cybathlon 2020 in the category Powered Wheelchair Race. We congratulate him! A great achievement!   Please

08/11/2020

LeanBI boosts digitization in rolling stock maintenance in rail traffic

In a joint project between LeanBI AG and Prose AG at Zentralbahn AG, we are investigating how artificial intelligence AI and machine learning can

09/07/2020

The new LeanBI website is ONLINE

  LeanBI has developed strongly in the last 3 years. Our focus is primarily on the combination of Data Science/Artificial Intelligence (AI) and Industry

16/06/2020

Zentralbahn AG LeanBI and PROSE shapes digital future

Decision support system for data-driven maintenance of rolling stock A recent McKinsey survey on most European railway operators states that fifty per cent of

25/05/2020

Deep Learning for damage detection in tunnels

Last year, LeanBI successfully implemented a Deep Learning project for the engineering company Amberg AG, in which the efficiency of tunnel maintenance was increased

30/04/2020

Modelling of causes and effects

Prescriptive Analytics is a further step in applied data analysis. It is also an important basis for improving the results of predictive analytics. In

12/01/2020

Flashback of 11 LeanBI Presentations at outstanding Conferences Year 2019

The past year, after many successful projects at LeanBI, applying Artificial Intelligence in industrial environments, we shared our knowledge at various conferences and events.

20/11/2019

Why anomaly detection for predictive maintenance and where are the limits?

On 19.11.2019 we presented our project experience with the Predictive Maintenance Expert Group of the Swiss Alliance for Data Intensive Services. We would like