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The 2013 Rochester Big Data Forum, chaired by Henry Kautz, explored key advancements in big data across various fields, including computer science, humanities, life sciences, and business. Attendees learned about the evolution of data analytics over the past two decades, the rise of cloud computing, and the vast growth of geo-temporal data sources. Key challenges discussed included data validation, addressing sampling biases, and enabling real-time decision-making through machine learning. The forum fostered collaboration among academia and industry, featuring leaders from IBM and Xerox.
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2nd Rochester Big Data Forum ROCDATA 2013 Henry Kautz Chair, Department of Computer Science Director, Rochester Big Data Initiative
Computer Science Data Science Sciences, Humanities, Business Statistics
Changes Over Past Two Decades • Distributed / cloud computing • Explosion of geo-temporal data sources (and data in general) • Expansion of applications beyond physical sciences • Advances in algorithms and modeling methods National Research Council
Central Challenges • Data providence and validation • Coping with sampling biases and heterogeneity • Leveraging parallel / multicore revolution • Enabling real-time analysis and decision-making National Research Council
Schedule Live Streaming www.rochester.edu/news/live/ • Machine Learning • Government, Industry, & Business • Lunch • Life Sciences • Physical & Social Sciences • Dinner Reception • Eastman Jazz Quartet • Prof. EhsanHoque: Computers to Help with Conversations
Thanks • Our distinguished speakers • UR faculty, students, staff • Industry partners • IBM • Xerox • Financial supporters • Neal & Naomi Bergman
Welcome Joel Seligman President, University of Rochester