2023 sees the launch of the MOOC “Machine learning in weather and climate” focused on the opportunities offered by Machine Learning in the meteorological field. The MOOC (Massive Open Online Course) is promoted by ECMWF in partnership with IFAB.

As part of this course, an important panel discussion – “A perspective from industry on machine learning in Earth System science” – is scheduled on January 18th: three IFAB members — BIP, Leithà Unipol and CRIF — will present important practical applications of Machine Learning in Weather and Climate technologies carried out by SMEs and companies.

Watch the panel recording:

Presentations:

► Presentation #1 – “Weather data empowering ML-based decision-making processes“
Use case presented by Alessandro Volpe, Data Science Competence Manager @BIP xTech Italy

► Presentation #2 – “Machine Learning & Weather – Climate“
Use case presented by Filippo Della Casa, Head of Data Science @ Leithà (Unipol Group)

► Presentation #3 – “Natural catastrophe risk scores for motor vehicle insurance“
Use case presented by Paolo Gambetti, Data Science Leader @CRIF

Following the presentations, Peter Dueben (Head of Earth System Modelling Section @ECMWF) will moderate a Q&A debate.

—

Do you want to know more about the MOOC?

✅ Participation is free
👥 Open to anyone interested in the topics
💻 36 hours of e-learning training, with webinars, podcasts, in-depth videos and practical cases
📃 Certificate of participation at the end of each module
► Find out more here