报告人: Valentina Salapura
时间：2015年8月20日上午9：00-9：50
Abstract
Two new technologies are revolutionizing information use for decision making in many application domains: cloud computing and big data analytics. Cloud computing provides elastic and virtually unlimited compute resources on demand, whereas analytics can extract actionable insights from data. The IBM Watson system has demonstrated the power of applying analytics to large bodies of knowledge. Analytics applications are distilling insights from a variety of data, mining data to support a broad range of decision making processes.
One emerging application area is medical analytics: to serve this application domain, IBM has announced Watson Health, a cloud-based offering to support continuous care and medical decision making. A critical part of making this information accessible includes a framework spanning cloud-based processing and mobile information delivery. This talk discusses the architecture and design of analytics platforms in order to ensure data isolation and security, high availability and resilience of applications, and to increase performance of analytics applications in the cloud computing environment.
Bio:
Dr. Salapura is an IBM Master Inventor and System Architect at the IBM T.J. Watson Research Center. She leads the development of analytics platforms for cloud computing and is architect for Resilience and High Availability for IBM Cloud Managed Services. In 2010, Dr. Salapura served as a co-lead for the Global Technical Outlook as part of the IBM Research Strategy and Worldwide Operations team defining IBM’s Internet-of-Things roadmap and strategy. Dr. Salapura has received several IBM corporate awards for her technical contributions. Dr. Salapura is an ACM Distinguished Speaker and Fellow of the IEEE. She is a recipient of the 2006 ACM Gordon Bell Prize for Special Achievements for the Blue Gene/L supercomputer and quantum chromodynamics.
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