Today, recommendation engines are a critical component to commerce and entertainment industries (and more). If you're looking to build your own, learn from the best - watch Jeremy Salfen, Director of Data at Kickstarter, explain how his team developed their recommender system from scratch, iteratively building and learning from the results.
Dataiku hosted the inaugural EGG conference in November 2017 in New York City where Daniel and others provided a practical look at what it takes to transform organizations around analytics (plus tactical takeaways and next steps for how to get there).
Over the coming weeks, we’ll be doing a deep dive into or recap on some of the talks and topics for those who weren’t able to attend. (By the way, you can sign up to receive info on EGG2018 here to make sure you don’t miss out on any of the action.)
Watch Jeremy's talk here:
If you're ready for more inspiration for scaling a data team in a large enterprise, check out some of our other fantastic speakers at EGG2017, including:
- Walid Mehanna on Bringing Value from Data at Daimler
- Chris Kakkanatt on Scaling Data Science at Pfizer
- Mayur Thakur on the Data-First Approach at Goldman Sachs
- Daniel Levine on Content Analytics at Spotify