Success stories of the Big Data paradigm and Predictive Analytics in many application areas led to the wide recognition of their high potential impact application areas like healthcare, marketing, finance etc. However, there is still a large gap between actual and potential data usage, because of numerous challenges: high dimensionality, sparsity, data heterogeneity, privacy concerns, the need for collaboration between domain experts and data scientists, demand for highly accurate and interpretable models etc. On the other side, extensive efforts of scientific research offer many partial or complete solutions for the aforementioned challenges. Coordination of research and industry efforts (fusion of cutting edge predictive analytics methodologies with commercial or non-commercial products) should lead to increased exploitation of Big Data promise, better satisfaction of industry needs and new methodological breakthroughs.
Milan Vukićević bio:
Milan Vukicevic is an Associate Professor at the University of Belgrade, Faculty of Organizational Sciences. He is also CEO and one of the founders of Big Data Analytics company, for consulting, research and development in the area of Predictive Analytics.
He worked as a Visiting Researcher at the Data Analysis and Biomedical Analytics (DABI) Center at Temple University (2014-2015). His work was published in multiple conferences, journals and book chapters. Milan also had several invited talks on bioinformatics and healthcare predictive analytics topics.