The Large Synoptic Survey Telescope (LSST) is a project that will begin observing in Oct. 2022 from a 8.4m telescope in Chile. Over 10 years it will obtain 1000 observations in 6 filters generating 15 TB data nightly.
I was a co-chair of the Transient and Variable Source (TVS) Science Collaboration for a few years, and I am part of the Informatics and Statistics SC. The alert brokers for LSST are currently training on the alerts produced by ZTF.
Automatic Learning for the Rapid Classification of Events (ALeRCE) is an effort for the classification of astronomical alerts. A majority of the members are from Chile, and as the ALeRCE team gets ready for LSST, they are using the ZTF alert stream for training models and algorithms.
As part of CRTS and ZTF I have contributed some labeled data, and am loosely involved in the machine learning and classification effort of the group through collaborative meetings and through teaching at the La Serena Schools on Data Science (partly funded by NSF).