Within AI/ML projects, data is not limited to the data or outcomes you collect when conducting a study. For AI/ML projects, data can additionally encompass, details of problem framing, featured data, and metadata related to the machine learning model. This webinar will outline each of these types of data in more detail, as well as outline considerations on how to handle this data when it comes to data collection, data preparation, modelling, evaluation, and deployment.
In this webinar, open to all audiences free of charge, participants will have the chance to learn from experts, Dr Abdillah Suyuthi and Dr Aleksander Babic, data scientists at DNV and part of the AI-Mind consortium.
Don’t miss out on the opportunity to learn from experts and register.
Read more about AI-Mind partner, DNV and their work in the AI-Mind project in the report on “AI-Mind data governance and data management protection framework” available online under this link: https://zenodo.org/records/7022612