This document discusses using unstructured data and deep learning to predict safety and performance. It describes three case studies: using a resume to predict job candidates, using photos to predict safety violations, and using data to predict time to hire for a hotel chain. The author advocates asking the right questions to develop better predictive features, while also noting the need to be careful of unintentionally mimicking biases without humans setting standards. Overall, the document explores applying machine learning to unstructured data for predictive analytics across different use cases.

1. Predicting
safety & performance
from unstructured data
Ben Taylor
Chief Data Scientist

2. A
Career
Less
Traveled

4. 2007 2015 2045199719871890
kB MB GB
Unstructured data + deep learning

5. What Is
Deep
Learning?

6. Learning
subjectivity

7. 28.4%64.7%

8. Trust your home appraisal?
@bentaylordata

9. Garbage
In
Garbage
Out

10. Asking the right questions leads to better features
• IO Psychology + Data science
• Predictive Accuracy of an Assessment in the Experience of a Video Interaction

11. Is it ok to measure
features
that humans
cannot see?

12. Humans set the bar
so low
it made it
easy
for the computer to
step over

13. Beauty.aitay.ai
Bias can be mimicked if you are not careful

15. Case 0: Resume

16. Case 0: Resume: How to trick the computer

17. Case 1: Predicting safety violation
4 questions +
share with us what you think is going on in the photo

18. Case 1: Predicting safety violation
Reduction in
Safety Violations

19. Case 2: Predicting performance 85% REDUCTION IN TIME TO HIRE
A top 10 Hotel chain

20. THANK YOU