Blog

The technological advancement of computer science and machine learning have led to great achievements in different aspects of our society and daily lives. However, with the ever-growing digitalization and mapping of our personalities onto the digital public, the topic of privacy is gaining huge popularity and importance.

MELDS is an abbreviation for the five components: Mind, Experimentation, Leadership, Data, and Skills. These five components are invented for management purposes and should be considered when embarking on an AI journey.

A modern data science platform should not have the focus of enabling everyone to build machine learning models. Instead, the focus should be on structuring the deployment process, enabling more transparent and governed models, usable from enterprise-wide applications.

This article is an examination of the legal frame and some specific nuances on fairness in machine learning, it is not an exhaustive analysis but rather an entry point to a complex problem with plenty of opportunities and challenges.

As AI and data science innovation powers the “Technology Renaissance”, the opportunities for business productivity are boundless.

Everyone will use AI, as a business and even as a private person.

When I was a little girl, I always dreamt of my one true love who whisk me away and we’d live happily ever after. Unfortunately, life isn’t a Disney movie as well as the evolution of online dating.

A couple of weeks ago the AlphaGo documentary was released on Netflix, giving everyone an inside view of the DeepMind team and the months leading up to the big Go match in South Korea.

As AI and data science innovation powers the “Technology Renaissance”, the opportunities for business productivity are boundless.