The workshop gathered scientists, program managers, and leaders from public, academic and private sectors. It enabled experts involved in the development and adaptation of AI tools and applications in a number of fields to meet and exchange experiences.
It is important to note that there are fields with similar fundamental issues as the field of environmental data information (from space- and ground-based platforms), NWP data assimilation, forecasting, and other environmental prediction systems. These fundamental issues include image and signal processing, pattern recognition, morphing, projection mapping, data mining, clustering, etc. This workshop facilitated the cross-fertilization of knowledge in different communities to benefit environmental observation and numerical prediction using machine-learning techniques.
This gathering allowed participants to exchange ideas, share lessons learned, and to discuss both the future potential and limitations of AI. It also helped to establish collaborations for using AI tools for many purposes, including: