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Bonnie Ray on Business Analytics Research at IBM

As one of the largest IT companies in the world, IBM has been at the forefront of systems, software, and physical and mathematical sciences research for many decades. However, only in the last ten years has it begun to systematically apply advanced statistics and optimization capabilities to support its internal business decision making. In this talk, I’ll provide examples of how the Business Analytics and Math Sciences organization within IBM Research has partnered with other IBM divisions to enable data-driven business transformation. For one example, that of predicting performance of new business initiatives, I’ll discuss two different statistical approaches investigated, Regression Trees and Nearest Neighbors with Metric Learning, and discuss their performance from both a technical and a business perspective. I’ll also highlight some open problems with potential for future research. Talk at 4:00pm, tea to proceed in Seeley Mudd 208 at 3:30pm.

A map can be found at http://goo.gl/maps/GAJ5a­

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  • Thomas M.

    Provided insights into the methods and tools used to gain insight on operational dynamics.

    November 15, 2013

  • Nicholas H.

    Bonnie's talk gave a general overview of the statistics and analytics group at IBM Research. These 350 PhD's are involved in a wide range of collaborative research. Bonnie's description of a messy small but complicated and interesting analysis of business initiatives gave a clear sense for the skills (machine learning, data wrangling, prising operational details from clients) needed to use data to make decisions. I was glad to attend to hear what is happening in this environment.

    1 · November 15, 2013

  • Guang O.

    nice talk

    1 · November 14, 2013

  • Sarah M.

    Thanks for another great 5 C Math/stats event!

    1 · November 14, 2013

  • Nicholas H.

    For those interested in data science, this should be a great talk. Bonnie has a variety of research interests in statistical computing and forecasting.

    On a semi-related note, Rachel Schutt and Cathy O'Neil's book "Doing Data Science" is now shipping. I read a pre-release version of this and was positively impressed.

    October 29, 2013

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