Vice-President of XING’s Data Science team, Dr. Sébastien Foucaud, believes the time of blackbox AI is behind us. The market leader in the DACH region has a vision for its Machine Learning: it should be explainable to the boss, as well as to users.  Focussing on German-speaking countries since 2012,

How are dynamic IT operations affecting company culture? What do businesses need to understand about data driven AI to successfully drive their operations into the future? Risks that previously stayed inside organizational units, such as IT Ops, now leak across domains, influencing decision-making for the entire company. These factors, including

What algorithms do dating apps use to find your next match? How is your personal data impacting your decision to go on a date? How is AI affecting your dating life?  Find out below. Technology has changed the way we communicate, the way we move, and the way we consume

Can you fight cancer with the help of Big Data and Machine Learning? How can these technologies help in the procedure of diagnosis, drug discovery and treating cancer? Cancer is an ailment with a long tail distribution. This implies there are different explanations for this condition to take place with

What is the future of AI in Europe and what does it take to build an AI solution that is attractive to investors and customers at the same time? How do we reimagine the battle of “AI vs Human Creativity” in Europe?  Is there any company that is not using

Here is how CIOs can use AIOps to create a strategy and foundation for the digital future. CIOs and operations teams across the globe are tuned into the rapidly developing area of AIOps (Artificial intelligence for IT operations). As Artificial Intelligence and Machine Learning continue to evolve and advance, IT

AI has been facing a PR problem. Too often AI has introduced itself as a misogynist, racist and sinister robot. Remember the Microsoft Twitter chatbot named Tay, who was learning to mimic online conversations, but then started to blur out the most offensive tweets? Think of tech companies creating elaborate

I’ll never forget my “aha” moment with bias in AI. I was working at IBM as the product owner for Watson Visual Recognition. We knew that the API wasn’t the best in class at returning “accurate” tags for images, and we needed to improve it. I was nervous about the

Breaking down the workforce options for AI developers to structure raw data for machine learning. Here is a look. While it may seem like artificial intelligence (AI) has hit the big time, a lot of work needs to be done before its potential really come to life. In our modern

How to implement an anonymous data collection scheme that allows the manufacturer to anonymously collect data from its end devices without knowing exactly which device it came from? Yes, this is one of the challenges for the second Blockchain Hackathon (part of LongHash Cryptocon Vol2) in Berlin on May 18-19