Optimization of Predictive Maintenance Solutions across Companies
Leading manufacturers and machine providers can use advanced analytics and AI to predict machine failures and improve predictive maintenance solutions. Via the Apheris Platform, data from multiple companies can be leveraged to train models without putting their trade secrets and intellectual property at risk.
Improved Process Conditions along the Supply Chain
Modern supply chains consist of several suppliers working in circular networks. These can be optimized towards reduced resource inputs, increased revenue or reduced CO2 emissions. The Apheris Platform for federated and privacy preserving data science helps suppliers engage in data collaborations to develop new models and work towards their shared goals.
Improving Workplace Safety within Facilities
Workplace safety procedures and applications are indispensable for high-risk workplace environments to protect employees, machinery and materials. Companies with multiple facilities need to ensure that their unified security standards are met in each facility. By employing AI models based on video data from cameras within the facilities, this can be done accurately and efficiently. The Apheris Platform for federated and privacy preserving data science enables companies to leverage and combine the facilities’ video data in a compliant manner, while protecting sensitive employee data.