Heineken chose to shift its Analytics Translator Training Program to an online version with the Virtual Training Method of GAIn®. This training method – consisting of a virtual classroom with break out rooms and individual assignments – made it possible for Heineken to continue with their learning plan despite COVID-19.

Nowadays, they are everywhere. Netflix uses them to determine what your favorite series is. Facebook uses them to recognize and tag its users in images. Google uses them for their translators, to interpret spoken language and even to develop a chess-playing bot which can defeat any of its human or artificial predecessors.

The Global Artificial Intelligence network (GAIn®) is aimed at building the certified skills required to implement new processes, identify opportunities and drive lasting breakthroughs using AI. The GAIn® portfolio consists of more than 60 certified badges, 10 programs, and totals 114 training days.

This week we hosted a training in one of our most promising new topics: Bayesian Networks – a method which shows how different variables together cause an event to occur. The strengths of the method lie in the fact that it can estimate and show the dependencies between all variables in the model and that prior field knowledge by the research team can be formally included in the model.

On October 25th, 2017, Sophia became a citizen of Saudi Arabia. Even though this country has millions of immigrants among its residents, Sophia’s citizenship became world news. She was unique due to the fact that she was not born, but built. Sophia is a robot developed in Hong Kong that traveled around the world after her unveiling in 2016. She not only spoke at the United Nations but also became the first robot in the world to acquire citizenship. She appeared on numerous talk shows, in magazines, and even in videos around the world. Although interviews with Sophia did not always go smoothly, she became world-famous and brought the lightning-fast developments in artificial intelligence back into the spotlight.