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How we built a derivatives exchange with BigQuery ML for Google Next '18

Financial institutions have a natural desire to predict the volume, volatility, value or other parameters of financial instruments or their derivatives, to manage positions and mitigate risk more effectively. They also have a rich set of business problems (and correspondingly large datasets) to which it’s practical to apply machine learning techniques.

Keboola Founders diary - How it all started

Ten years ago I was a typical nerd, compiling Linux system from the source code, working for the digital company První multimediální as a Linux admin. Switches, VPN and whole LAMP stack was my daily bread. On the side me and my good friend Mirek Burkon got a project - building project management tool for some NGO. The product promise was somehow similar to Basecamp (which I haven’t heard of at the time). It was a success and we decided to turn it into a product.