Logo

How Big Data Is Leveraged To Save Lives
Event Date: February 22, 2017 at 12:00 pm Central Time (1:00 pm Eastern Time, 10:00 am Pacific Time)
We all hear words like “big data,” “data scientist” and “predictive analytics.” What do they really mean and how can they help predict incidents and drive prevention? We will also discuss the importance of meaningful engagement and how it helps drive predictive models.

In this webinar we will clearly define the role of a data scientist. We will dive into how they use their skill set and create meaningful predictive models based on leading and lagging indicators. We will discuss how these models lead to actionable risk prevention outputs.

You will learn how companies with highly evolved safety cultures and programs are able to provide a high level of insight – even to the point of being able to predict and prevent workplace injuries.

Details
  • How meaningful engagement drives predictive modeling
  • What is the role of a data scientist
  • How do data scientists use their skill set to create actionable predictive models
  • How can modeling predict and prevent workplace injuries
  • What actionable can a predictive model provide and what is the practical application of that information

Presenter:

Emma Stapleton, Senior Data Scientist, Predictive Solutions Corp

Emma Stapleton is a senior data scientist within the predictive analytics group at Predictive Solutions Corp. She has spent the past five years building predictive models across the marketing and banking sectors. Stapleton holds a B.S. in statistics and a M.S. in analytics, and can be reached at estapleton@predictivesolutions.com.

Moderator:

Kevin Druley, Associate Editor, Safety+Health magazine

National Safety Council associate editor Kevin Druley covers worker safety for Safety+Health magazine. He will moderate the session.







 If you have previously registered for this event, please login below:
 Email
 LOGIN

Registration is required to attend this event. Please register now.
First Name*
Last Name*
Title*
Company*
Address Line 1*
Address Line 2
City*
State*
Zip*
Country
Email*
Work Phone*
You must have Javascript and Cookies enabled to access this webcast. Click here for Help.
 
Please enable Cookies in your browser before registering for the webcast.
 
*Denotes required.
 
REGISTER