Predict the production of renewable sources and anticipate the consumption of energy in order to optimize the power grid.
Read MoreModel the flow of visitors in order to evaluate the attractiveness and to improve the management of natural reserves or touristic sites.
Read MoreAnalyse the impact of the weather conditions on local and global markets in order to adapt and optimize your strategy.
Read MoreAnticipate the effects of unusual weather conditions on your business and define the best protection against severe events.
Read MorePredict the impact of the weather conditions to optimize the transportation system and to take the best preventive actions.
Read MoreTake advantage of historical observations and forecasts to improve the accuracy of local or specific weather models, analyse climate changes.
Read More
Discover how predictive analytics enable to accurately forecast local weather... |
Machine learning applied to nitrogen dioxide pollution prediction ... |
Prediction of ozone pollution ... |
Road traffic prediction in UK ... |
Data science applied to traffic collisions prediction ... |
Prediction of emergency calls in San Francisco... |
Whether this link is direct or more sophisticated, the weather can impact many human or industrial activities. With the recent progress in data science, it is now possible to take advantage of the abundant and easily accessible meteorological data to quickly develop accurate predictive models that will add value to your business. Discover this unexploited knowledge and turn it into a true competitive advantage!
Understand, anticipate and optimize your most complex processes: It become crucial for the competiveness to take advantage of hidden value that represents the exponentially increasing quantity of data produced inside or outside your organization. This is the challenge of Big Data! BLIA Solutions provides consulting services and software components in artificial intelligence and predictive analytics in order to transform your raw data into useful and valuable knowledge.