Wednesday June 15 , 2016
The New York City Police Department's Domain Awareness System
Finalist Presentation in the INFORMS 2016 Franz Edelman Award CompetitionThe New York City Police Department (NYPD), the largest state or local police force in the United States, is charged with securing New York City from crime and terrorism. The NYPD's Domain Awareness System (DAS) is a citywide network of sensors, databases, devices, software, and infrastructure that informs decision making by delivering analytics and tailored information to officers' smartphones and precinct desktops. DAS development began in earnest in 2008; since then, the NYPD has used the system to employ a unique combination of analytics and information technology, including pattern recognition, machine learning, and data visualization.
Wednesday May 18, 2016
Random Forest versus Logistic Regression
Different methods generate different variable selection results, reflecting the needs for a comprehensive literature review. These different methods include correlation with dependent variable, p-value, information value, as well as variable importance, and their validities under different conditions.
Wednesday Apr. 20, 2016
Comparison of association, product network analysis and sequence analysis to identify product & service purchase patterns in B2B businesses
There are several efficient methods and tools that currently exist to understand association patterns between consumption of products and services both for B2B and B2C verticals. In this study, we will dive deep into the tools, methods, pros and cons of different analytics methods such as market basket, sequence analysis and product network analysis for cross selling, next best purchase and assortment opportunities. The study will also talk about the nuances of longitudinal association vs. point in time association. We have used open source tools like Gephi, Sankey charts vs. Tableau and Alteryx and also referenced several existing research.
Wednesday September 21, 12:00 – 2:00 pm
Machine Learning and Artificial Intelligence applied to a Pharmaceutical Marketing Problem
Machine Learning and Artificial Intelligence have increasingly been used as innovative ways to extract meaningful value from data. This presentation will describe how those techniques were applied to generate a set of business rules and a predictive model for a pharma company to increase their physician client base’s propensity to prescribe their drug to their patients as opposed to the competition’s drug(s). The result is a personalized recommendation for each physician, with accompanying auditable rules to audit results and validate success.
For reservation assistance write to our gmail address or call Jack Theurer (212) 787-1975
INFORMS NY Metro is actively seeking speakers and topics. If you have a data analytic or business oriented topic please contact Jack Theurer or Leon Schwartz.
INFORMS NY is the New York City Chapter of the Institute for Operations Research and Management Science.