The goal of this session was to share practical experience and debate points of view on how data is key to modern service optimization and innovation. The panelists have all first hand experience in creating data analysis infrastructure and utilizing it for strategic goals. Ultimate goal is to hopefully share a passion for data-driven exploration of the translation world with the audience and how this can help us take the right decisions for our business day-to-day.

1. data science program
Welocalize

2. welocalize.com
SMART RESOURCING
Pilot Project

3. welocalize.com
How can we apply NLP and machine learning to content?
ANALYSING SOURCE
CONTENTDo reading level, source grammar
errors, or terminology density correlate
with errors?
DATAMINING QUERIES
Can we detect relationships between
content and queries?
PREDICTING ERRORS
Can we design models based on past
errors to identify at-risk segments?
SEGMENT LEVEL PREDICTIONS