Disruptive conditions, due to external circumstances, require a fundamental digital change. In our #AENextNormal blog series Stef Devos talked about Accelerating Digital Business with Human Technology, or how people and society will seek a new equilibrium that will be created by a shift towards human technology. To create this shift, data science and artificial intelligence will play a crucial role in automating complex interactions.
May 25, 2018. This was the date every company and organization had to be GDPR compliant. What we see two years later is that many organizations still struggle to comply with the GDPR rules. Important concepts in the GDPR context are anonymisation and pseudonymisation. As such none of them is mandatory under GDPR. Securing and protecting data however is mandatory, and both anonymisation and pseudonymisation are effective methods to do so and therefore they are strongly recommended.
At AE, we deliver analytics projects on a daily basis and as a result we can experience from the front row that data-driven companies simply perform better than others. As data experts, we can all understand that “data is the new oil” and to put this philosophy into practice we have developed a unique data-driven innovation method to define your next best data product. Sounds interesting right?
Due to the rapid acceleration in new coronavirus literature, it becomes difficult for the medical research community to keep up. There is a growing urgency for innovative approaches, like recent advances in Natural Language Processing, to understand and analyze the abundance of medical/scientific articles.
At AE, we created a powerful Natural Language Processing engine that allows us to perform recent text and data mining techniques (which, by the way, also forms the foundation of our AI Powered Customer Care Agent, ADORE). With both the expertise and motivation in place to help researchers find answers that will ultimately help them stop the virus, we composed a team of data scientists to start working on the Kaggle COVID-19 Open Research Dataset Challenge.
At AE, we have set up a 'garage' initiative as a community for working with emerging technology. Luckily for us, it’s not a boring empty box for cars to park, but a creative space with all kinds of hardware to experiment with. One of the goals with this garage initiative is to gain hands-on experience with new tech, like computer vision with neural networks for example. An important aspect of this is that it is an open community for all colleagues to collaborate and elaborate on ideas. So, the myth of the AE Garage begins!