A panel of data scientists working in the PR and marketing measurement and evaluation industry discussing what data scientists and machine learning experts face when they enter our field, what are the most common questions they are being asked, what are the problems they aim to solve, which are the low-hanging fruits and which are the most complex challenges for algorithms and predictive models.

Key takeaways include:

• Easy vs. hard tasks for machine learning in media measurement context?
• What data is good data?
• Where to put the human in the loop?