INFORMS Open Forum

Call for submission and participation: The 3rd Analytics Without Borders Conference

  • 1.  Call for submission and participation: The 3rd Analytics Without Borders Conference

    Posted 02-12-2018 08:24

    Call for submission and participation: The 3rd Analytics Without Borders Conference

    Bentley University, Waltham, MA on Mar 23rd (Friday), 2018 

    You are invited to submit your presentation to the 3rd Analytics without Borders conference. This conference is a forum for all ways of analytics life to present and discuss analytics work, be it from corporate institutions, academia, government organizations etc. All groups will be able to interact with each other and thus build bridges between the different analytics constituencies.

    Topics are broad in analytics, including applied statistics, optimization, data science, etc. Anyone who does anything with data is warmly invited to present their work. Sessions will include a blend of corporate, academic and government researchers and practitioners. 

    We are excited to announce our two keynote addresses. The two keynote speak will be:

    Morning Keynote Speaker:

    Victor S.Y. Lo, Head of Data Science and Artificial Intelligence, Workplace Solutions, Fidelity Investments

    Title:

    Data Science, A.I., Business Analytics, Machine Learning, Operations Research, and More – What Are They? How Are They Used in Practice?

     Abstract: This keynote will discuss the definitions and relationships of many seemingly related (or seemingly different) fields: Data Science, A.I., Business Analytics, Machine Learning, Operations Research, and more. Additionally, we will introduce applications of these techniques in business practice as well as career prospects of these fields.

    Afternoon Keynote Speaker: D. Sculley, Senior Engineer at Google

    Title:   Issues in Classification

    Abstract:

    As machine learning methods become increasingly critical in today's world, it is becoming ever more important to ensure that models and systems that rely on machine learning do not perpetuate unwanted biases that may be latent in various data sources.  In this talk, we'll examine potential sources of unwanted bias, dive into some real world examples, and discuss possible mitigation strategies.  Above all, we'll argue for the importance of awareness of the possible issues that can arise and the value of questioning assumptions during model development.

    Online presentation abstract submission due day is Mar 1st, 2018. Please visit our online submission page: https://www.bentley.edu/analytics-without-borders/call-presentations-and-posters

    Conference Registration is open now. Please check our registration page.

    Please visit our conference website for more details. http://www.bentley.edu/analytics-without-borders

     



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    Daniel Rice
    Senior Vice President and Director of R&D
    Technology Solutions Experts, Inc.
    Natick MA
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