The product will use different types of data (meteorological, hydrological and plant data) ingested with a constant flow through APIs. Artificial intelligence algorithms will be trained to reconstruct forecasted levels in each gate position. The decision support system will allow the managers to identify the criticalities in the given sections and optimise the alert procedures during extreme events.
Usage of Standards for data interoperability:
Rest API, docker
*Expose phase is open to all Experiment phase teams
The team, made up of professional figures with expertise in hydrology, meteorology and hydraulics, boasts visibility in Europe through awards in the context of Big Data, Satellite Data and Climate Change.
Matteo Dall'Amico - CEO & Founder
+15 years experience as Entrepreneur in the hydro-meteorological sector, he complements technical skills and marketing vision. He is taking care of business development and general management.
Stefano Tasin - CTO
Ruggero Andreatta - Specialist technician
Nicolò Franceschetti - Specialist technician
He works on data modelling, satellite implementation, flow forecasts and hydrological studies. He uses machine learning algorithms.