Analytics
The Analytics department researches and develops deep analytics technology, while focusing our efforts on machine learning techniques and constraint satisfaction problem (CSP) algorithms. We apply our expertise to problems in various areas such as information retrieval, autonomic computing, anomaly detection, biological and medical mining, social analytics, green analytics, and workforce management. We provide solutions, tools, core technologies, and services.
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