Artificial Intelligence (AI) and Machine Learning (ML) used in the right way offer companies new and unprecedented opportunities to tap into. For the man and woman in the street it brings many new and exciting advances in their everyday lives. However, they also have a dark side. When we design algorithms and train models based on data of a privileged minority group, ML model outcomes (like predictions, recommendations, classifications,...) have the ability to discriminate and exclude large parts of the population in a way that is not acceptable. Fact is that we don’t always realize this, and thus need to be very careful and build in checks to avoid these circumstances.
In December 2019, Cloudbrew took place in Mechelen (Belgium). Hosted by the AZUG user group and proudly sponsored by AE, Cloudbrew is an annual – and free – two-day cloud conference that focuses on all things Microsoft Azure. This year’s edition saw Koen Verbeeck, one of our very own consultants, take to the stage with a session on ‘Moving Data around in Azure’, in which he explored some of the various methods of moving data from one service to another. Did you miss out on the event? Not to worry. In this blog post, we gladly summarize Koen’s findings for you!
A leading global player in the agricultural sector, SESVanderHave specializes in every aspect of the production process of sugar beet seeds. The company’s success speaks for itself: one in three sugar beets in the world comes from an SESVanderHave seed. Needless to say, SESVanderHave is strongly focused on research. Yet Industry 4.0 is lurking around the corner and the company must do whatever it can to keep up with recent developments. Enter the AE team.
In our latest AE Financial Services newsletter we elaborated on why we, at AE, are convinced that offering your clients a relevant and personalized experience is a key differentiator in the world of financial services. Do you agree? And so does the rest of your organization?
Last year has been quite exciting, full of wonderful events and the joyful welcoming of a few new members to our AE family. Before we said goodbye to the year of 2018, we held our end-of-year Analytics foyer in December.
During this festive edition, our team of Data Scientists shared a number of different success stories we realised together with our customers in 2018. In our previous blog post Looking Back at our Analytics foyer: Part 1, we presented a deep dive into these different successes brought during this inspiring evening.