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Private and Open Data in Asia: A Regional Guide.
As the volume, variety, and velocity of data continue to reach unprecedented levels, big data analytics has drawn significant interest. According to a recent IDC analysis, the worldwide enterprise data analytics market generated $37.7B during 2013, and is forecasted to grow at a 9.4% annual growth rate through 2018, reaching $59.2B. Many organizations are keen on adopting big data techniques to analyze huge volumes of data that conventional business intelligence solutions cannot touch, and discover insightful knowledge for better decision making. Recently deep learning, which extracts high-level abstractions from data, has emerged, and shows great potential for solving business problems.
In this talk, we will present our Apache SINGA system, a flexible and scalable deep learning platform. SINGA has the following highlights, making it a valuable tool for big data analytics:
We have applied the SINGA system to healthcare data analytics in a hospital healthcare system. In this talk, we will show two applications on how SINGA is helpful in analyzing electronic medical record (EMR) data.
We will also discuss some examples of how SINGA could be useful to other data types and applications.
Ju Fan received his PhD in computer science from Tsinghua University, China in 2012. He is currently a research fellow in the School of Computing, National University of Singapore. His research interest includes big data analytics, crowdsourcing, and database management.
Wei Wang is a Ph.D. student in the computer science department of the National University of Singapore. Currently, he is working on an Apache incubator project (SINGA) for developing a general distributed deep learning system.
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