The goal of the project was to enable predictive maintenance for cargo handling equipment using artificial intelligence. Veracell offered the know-how to utilize artificial intelligence-based life cycle models in predictive analytics. The model predicts which part of the machine is at risk of breaking. With this information, parts can be replaced in advance during periodic maintenance.
The project focused on the application of different forecast models and data preprocessing methods and finding the best modeling approach.
Survival (lifecycle) and random forest models were used in the modeling.
The results and the generated code serve as a basis for the further development of the models and the selection of the modeling approach.
The project focused on the application of different forecast models and data preprocessing methods to find the best modeling approach. Veracell implemented models that domain experts thought would be most useful, and supplemented Kalmar's data science team with specialized expertise in lifecycle modeling. The results and the generated code serve as a basis for further development and the selection of the best modeling approach.
We took advantage of Kalmar's data platform and quickly started developing the models. After years of data platform development, a lot of data processing had already been done before the project started.
"From Veracell we found a professional team that we had been looking for to advance our lifecycle modeling. The results of the project are promising and lead us towards a production solution.", Tomi Krogerus, Senior Manager of Analytics and AI
Veracell's CEO Timo Erkkilä is a people-oriented technology leader with a wide range of expertise.
In addition to the role of technology director, Antti works with patient data and participates in the development product analytics.
Antti-Jussi studied electrical engineering with major in signal processing and machine learning. He is particularly interested in utilizing machine learning in healthcare.
Our goal was to generate statistics that would make reporting easier for their data platform, and we achieved this by implementing data structuring techniques that streamlined the reporting process.
AI Roots is a network that helps its customers succeed in data-related development projects. We are able to quickly provide the right specialists for demanding data and artificial intelligence projects.
DataKIT develops services to support the marketing of pharmaceutical companies. During the project, we have delivered a web application designed and implemented from start to finish to be used by DataKIT's pilot customers.
Veracell worked with Trustmary on a data and AI strategy print that will enable the company to accelerate the use of artificial intelligence. The result was tangible plans for choosing the direction of development.
We worked as part of Techila’s team to create a solution superior to other services. The solution is a multi-use AutoML with black box optimization capabilities, instantly usable by data science teams.
We have helped Tietoevry to come up with new business, designed services using user-oriented methods and provided experts to implement technical solutions in the area of healthcare.
PIRKKO®, developed by Integritas, is an application that can be used to improve mental health work with current resources. Veracell is taking the PIRKKO® system to the next level.