Videos

Mastering graph analysis and building MLOps native apps is far from easy. We will demonstrate how machine learning algorithms can leverage network science to generate enhanced classification models and propagation analyses. Learn how to tame system complexity with MLOps automation. Camilla Dal Rio Data Scientist, Moviri S.p.A. Camilla started her journey in Stats&Finance, landing in the Data Science world in Moviri’s Analytics team. With a data driven mindset, Camilla and the Movirian data scientists help customers in designing and implementing business solutions at scale, exploiting cutting edge softwares and technologies. Graphs represent a fundamental asset in data portfolio. Camilla is eager to share how the combination of Neo4J, ML and MLOps helped in taming complexity in a challenging context.