Data Science for Business Innovation

Marco Brambilla is a full professor at Politecnico di Milano, where he engages in both research and innovation across industrial and academic sectors. His research interests encompass data science, software modeling languages, design patterns, crowdsourcing, social media monitoring, and big data analysis. He has served as a visiting researcher at CISCO in San José and the University of California, San Diego, as well as a visiting professor at Dauphine University in Paris. Brambilla is the founder of Fluxedo, a startup focused on social media analysis and engagement, and WebRatio, a company that develops software modeling tools for web, mobile, and business process applications. With over 200 publications, including various international books and research articles, he has received multiple best paper awards and delivered keynote speeches at numerous conferences. He leads research projects on data science and collaborates on industrial projects related to data-driven innovation and big data. Additionally, he is the main author of the OMG standard IFML and has participated in several European and international research initiatives. Brambilla has also reviewed FP7 projects and evaluated EU proposals, serving as a program committee chair and member for various conferences while being an associate editor for SIGMOD Records, the Journal of Web Engineering, and Advances in Human-Computing Interactions.

Emanuele Della Valle holds a PhD in Computer Science from Vrije Universiteit Amsterdam and a Master's degree in Computer Science and Engineering from Politecnico di Milano, where he currently serves as an associate professor in the Department of Electronics, Information, and Bioengineering. Over nearly 20 years of research, his interests have spanned Data Science, Big Data, Stream Processing, Artificial Intelligence, Semantic technologies, Web Information Retrieval, and Service-Oriented Architectures. He pioneered the field of stream reasoning, which lies at the intersection of Stream Processing and Artificial Intelligence.