A convergence of trends—mobile data, the Internet of Things, and advances in machine learning, among others—is driving a surge in interest in big data. The tools and techniques for exploiting big data streams are applicable across a wide range of domains, from manufacturing and predictive maintenance to marketing and fraud detection. In this interview, Foster Provost, a professor of data science at New York University and author of Data Science for Business, discusses trends and challenges in big data and what R&D managers need to know to manage it.
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