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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.

Businesses must integrate Artificial Intelligence (AI) now or fall further behind

Artificial intelligence became one of the hottest tech topics in 2017 and is still attracting attention and investments. Although scientists have been working on the technology and heralding its numerous anticipated benefits for more than four decades, it’s only in the past few years that society’s artificial intelligence dreams have come to fruition.

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.

The Year Ahead in APIs

APIs have come a long way from the arcane geek-speak of software interfaces popularized by Win32 APIs (still among the most commonly searched API phrases). Today, APIs represent interfaces between businesses and large swaths of internal enterprise services and business units. APIs not only connect software to software but also help to create entire commercial ecosystems, and so have become integral parts of how enterprises conduct business.