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Making Machines Understand You

In 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 You

Making sense of the user agent string

Ever since I’ve started working for a WebAnalytics company in 2005 I’ve been working on problems related to making sense of web data. One of the most difficult elements in this type of analysis is making sense of the user...

Making sense of the user agent string

How we deal with the unexpected

“It didn’t look like a big issue at that moment”. Everybody in the room listened to what the Engineer on Duty (EoD) had to tell about the first moments what, later on, turned out to be a partly outage of the webshop in peak season. It’s Monday morning 10.

How we deal with the unexpected

HPA: how it can save you headaches and money

In this blog, we show you how to automatically scale your application resources according to either the CPU consumption or to the incoming load of your application. Background As humans, we are capable of adapting to variable inputs and situations. Some of us are slower, whereas others easily adapt to change.

HPA: how it can save you headaches and money