Enza Messina is a Professor in Operations Research at the Department of Informatics Systems and Communications, University of Milano-Bicocca, Italy, where she leads the research Laboratory MIND (Models in Decision Making and Data Analysis). She holds a PhD in Computational Mathematics and Operations Research from the University of Milano. Her research activity is mainly focused on decision models under uncertainty and more recently on statistical relational models for data analysis and knowledge extraction. In particular, she developed relational classification and clustering models that find applications in different domains such as systems biology, e-justice, text mining and social network analysis. She is a co-founder of Sharper Analytics, a spin-off from the University of Milano Bicocca.

How AI & ML and Text Analysis of Alternative Data is impacting Financial and Retail Markets
We analyze how AI and Machine Learning and Sentiment Analysis of News and Micro-blogs are and impacting the two rapidly expanding markets, namely, Financial market and Retail market. We support our analysis by a few Use Cases for these markets.

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