Scale and capitalise on your expert knowledge and existing data
Your business is based on the expert knowledge of highly experienced specialists and you know how vital this knowledge is to the success of your business. Your customers value your sophisticated products and intelligent services and benefit from your deep process knowledge and precise measurements of relevant process parameters.
Securing and providing easy access to expert knowledge throughout your organisation is one of your top priorities. However, a bottleneck in your organisation is the limited availability of your experts. Moreover, the inability to share sensitive data and information efficiently with your customers in a secure and controlled way slows down the success of your business.
Boost your business and do not miss out on growth opportunities by making your expert knowledge easily accessible throughout your organisation and let your customers benefit from your expert knowledge in a secure and controlled way using the AI-based EDI hive Decision Making Suite.
Decision Making Suite Core Applications
Aggregate your raw data to meaningful key performance indicators used for generating powerful prediction models.
Generate powerful predictions for the key parameters of your business or the relevant parameters of your machines.
Enable your staff and customers to predict process or machine parameters and control the shared knowledge.
Dynamic Risk Management (DRM)
Safe, comfortable and driver-accepted automated driving based on the prediction of possible road risks.
Event Detection is a core function of autonomous vehicles
Improve the detection of critical events by recognizing contexts and correlations in situations where the sensors have weak points.
Automated Offer Generation and Workload Planning
Development of automated order planning that can be universally used in contract manufacturing; integration of specific expert knowledge of the companies.
Intelligent Forest Management and Workload Planning for Forest Rangers
Dynamic decision support in logging and planting of different species by the combination of forest expert knowledge, latest climate models, local and global forest data.
Workload Prediction in Logistics
Prediction of the number of brochures needed considering various factors, integration of EDI hive decision model into the software Qlik.