Mastering Responsible Machine Learning in an Open World
Mastering Responsible Machine Learning in an Open World


Machine Learning and AI is already ubiquitous today, touching many moments of our daily lives. From the mundane and bizarre to life-saving and socially, significant improvements. In this climate of increasing AI adoption, ethics has become a critical concern among consumers, auditors and governments. We observe a move from “How can Machine Learning help my business?” to “How can I design and deploy Machine Learning solutions at scale and responsibility?”


Matteo is a data scientist at SAS. He supports global initiatives and projects that involves advanced analytics and artificial intelligence technologies. He is passionate about helping companies transforming their business processes with analytics. Matteo has a MSc in Management Engineering from Politecnico di Milano, with a specialization in Industrial Management

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