Alessandro Saccoia is a professional working at the intersection of artificial intelligence, data, and product strategy, with over ten years of experience in developing systems that support decision-making in complex environments. His work lies at the crossroads of technology, data analysis, marketing, and organizational innovation, with particular attention to how data can be turned into practical tools for understanding behavior, measuring performance, and guiding strategic choices. Throughout his career, he has worked across companies, applied research labs, and academic settings, focusing on the design of data-driven products, analytics systems, and artificial intelligence applications. He has gained experience at Nielsen, Vodafone, and Beintoo, where he held positions of responsibility across product management, data science, and information systems development, contributing to the creation of tools for effectiveness measurement, market data analysis, performance evaluation, and decision support. He is currently co-founder of Thembi, an initiative focused on building decision intelligence systems, and also works as a consultant on AI and decision systems for startups and organizations. He previously served as CTO of IULM AI Lab. Alongside his professional activity, he teaches at IULM and at the Milan Monza Brianza Lodi Chamber of Commerce. He holds a degree in Computer Science from the University of Milan and continues to work on models and tools for data analysis and the responsible application of artificial intelligence.
MAIN AREAS OF SCIENTIFIC INTEREST
His main research interests include applied artificial intelligence, data-driven marketing, decision support systems, data analysis for understanding behavior and measuring performance, with particular attention to the responsible use of AI in organizational contexts.
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