Exploiting Mobility Data at Scale
Companies in the transport and human flow areas deal with huge amounts of mobility data across different contexts and resolution scales. The use of big data in tourism, international trade, and public transport offers new perspectives but also real challenges for executives to effectively exploit all this information. Deploying predictive modeling at scale can bring vital benefits to the mobility industry.
Why Prevision.io for Mobility Industry?
We believe in building highly efficient predictive models that are immediately deployable, scalable, and accessible by users without a data science background. Prevision.io helps mobility companies accelerate their data science projects by empowering executives and teams with machine learning models ready to be used in business processes and logistics.
Start building and deploying machine learning models with Prevision.io
Predictive maintenance empowers companies to reduce equipment failure through the collection of data from sensors and the detection of failure patterns. Prevision.io automatically builds machine learning models based on data from your operations to help you increase the longevity of equipment, optimize your production, and augment maintenance teams. View the use case
Effective yield or revenue management is critical for companies dealing with continuous demand and multiple traffic flows. Our platform allows for automating the decision-making process, resulting in faster optimization and more performant simulation methods. This helps executives to better manage occupancy and maximize revenue opportunities. View the use case
Internet of Things
Only a few companies succeed in applying machine learning models to IoT data to improve process efficiency. Prevision.io facilitates access to actionable insights by automating the creation of such models and providing executives with an operational advantage. With the right models, systems can be gradually taught to recognize factors and improve the efficiency of the production process. View the use case