Join us on Mar 23rd (Friday), 2018 at Bentley University for 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.
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
Data Science, A.I., Business Analytics, Machine Learning, Operations Research, and More – What Are They? How Are They Used in Practice?
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.
Victor S.Y. Lo is a seasoned Big Data, Marketing, Risk, and Finance leader and innovator with over two decades of extensive consulting and corporate experience employing data-driven solutions in a wide variety of business areas, including Customer Relationship Management, Market Research, Advertising Strategy, Risk Management, Financial Econometrics, Insurance, Product Development, Transportation, and Human Resources. He is actively engaged with Big Data Analytics, causal inference, and is a pioneer of Uplift/True-lift modeling, a key subfield of data science.
Victor has managed teams of quantitative analysts in multiple organizations. He is currently Head of Data Science and Artificial Intelligence in Workplace Solutions at Fidelity Investments. Previously he managed advanced analytics teams in Personal Investing, Corporate Treasury, Managerial Finance, and Healthcare and Total Well-being at Fidelity Investments. Prior to Fidelity, he was VP and Manager of Modeling and Analysis at FleetBoston Financial (now Bank of America), and Senior Associate at Mercer Management Consulting (now Oliver Wyman).
For academic services, Victor has been a visiting research fellow and corporate executive-in-residence at Bentley University. He has also been serving on the steering committee of the Boston Chapter of the Institute for Operations Research and the Management Sciences (INFORMS) and on the editorial board for two academic journals. Victor earned a master’s degree in Operational Research and a PhD in Statistics, and was a Postdoctoral Fellow in Management Science. He has co-authored a graduate level econometrics book and published numerous articles in Data Mining, Marketing, Statistics, and Management Science literature.
Afternoon Keynote Speaker: D. Sculley, Senior Engineer at Google
Title: Issues in Classification
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.
Friday, March 23 at 8:30am to 4:00pm
Wilder Pavilion, 165 Adamian Academic Center, 175 Forest Street, Waltham, MA 02452