Testing the boundaries of the technology that we have today and having the opportunity to put a Google Glass on and experience operating in a pop-up Warehouse. Those were the results of a joint experiment by Google and bol.com.
Demo-time; Google Glass capabilities in a pop-up WarehouseAt this year's Spaces Summit, I presented a talk onStreamlit: a new web application framework in Python, which is perfect for making data science demos. About the talk As Data Scientists, we often need to quickly prototype ideas and showcase those...
Spaces Talk #6: Making Demos Great AgainThis year at Spaces Summit, the bol. com annual internal IT conference, I presented a talk about the work our team, Team SmartAds, has been doing in creating a new marketing attribution truth for our platform. About the talk How do we verify that we are using our marketing budget effectively?As bol.
Creating a paradigm shift for bol.com marketing attributionSpaces Summit is our annual internal bol. com conference for IT, by IT, and friends: Two fun days of inspiration, knowledge sharing, bragging, and community. This year we had our first digital version of the summit.
Spaces Talk #1: They took our jobs!In this episode, we talk with Daniel and Emiel, software engineer and product owner in the customer support domain. In this domain, the focus is to help our customers in the best way possible. But what if we can prevent the customer to feel the need to contact bol.
Improve the customer journey with Intent Recognition and Conversational AnalyticsIn this post, I will explain how bol. com is going to interpret what the user says using Machine Learning and Natural Language Processing. Historically we have been doing that in multiple ways: by informing the customer on our website, in our app, in our email communication, using our chatbot Billie and in our call center.
Making Machines Understand YouData Science and Machine Learning are becoming more integrated into current businesses. Especially in e-commerce there is huge potential for predictive modeling. It is therefore no surprise that bol.
Getting organized: cleaning up bol.com with Data ScienceIt's not easy. But that doesn't mean it can't be done. This post is about how we played around with image recognition to find out what we can do with it.
Image recognition. Deep learning. And cake.