Loading Events

« All Events

  • This event has passed.

Big Data with Sensor Technologies and Machine Learning

April 18, 2017 @ 6:30 pm - 9:00 pm

Explore the role of Big Data in Recent Advances of Machine Learning with Applications to Internet of Things (IoT)

Event Details

The proliferation of sensor technologies has resulted in more connected machines than ever before. This change is resulting in huge quantities of sensor data becoming available for analysis. We will discuss what the impact of this change is for the business world and how savvy companies can capitalize on this.

Note: This is rescheduled from its original date (3/2/2017).


Early Bird $10
Week of $15
At the Door $20


Register Online

Registration will close at 12pm. You can register at the door. Please bring cash or check only.

Deadline: 4/18/2017

Speaker Profile

Adam McElhinney (Speaker)
Head of Data Science, Uptake

Adam McElhinney is currently the Head of Data Science at Uptake Technologies, where he leads a team of 55 Data Scientists building cutting-edge industrial data analytics tools. Additionally, Adam is an Adjunct Professor in the Computer Science Department at Illinois Institute of Technology. Formerly, he was the Head of Business Analytics and the Head of Marketing Analytics at Enova Financial where he helped grow the company from a small startup to a publicly traded online lending leader that currently employs more than 1,000 associates in the Chicagoland area. He has previously worked as a management consultant as well as an analyst designing simulations for the Department of Defense. Adam is serving his seventh year on the Board of the Chicago Chapter of the American Statistical Association. Adam holds a Masters in Statistics from University of Illinois-Chicago and has undergraduate degrees in Mathematics, Economics and Political Science from Indiana University-Bloomington.


April 18, 2017
6:30 pm - 9:00 pm
Event Category:


Gleacher Center
450 N Cityfront Plaza Dr
Chicago, US


Chicago Booth Big Data & Analytics Roundtable