Making personal data make sense with machine learning.

As the field of big data, machine learning and artificial intelligence keep growing and revolutionizing the current world as we know it and playing a big role in determining the future, it is without doubt that certain questions are beginning to get raised in terms ethics, governance, regulations, and privacy issues surrounding the big data revolution. At a first glance, these topics can all be classified commonly as thorns in the advancement of AI and machine learning especially since most businesses are largely more curious about the business benefits of the domain and not necessarily the disadvantages as well. Recent activities and global trends are however beginning to show the negative impact that can be caused by ignoring some of these seemingly looking thorns in companies trying to make money out of data. The European Union has been an example of how governments are beginning to prioritize certain regulations that most tech companies were not paying attention to before and hence affecting their business models. Facebook's dating app which was supposed to be released today, a day before valentine, has been banned by the European Union as Facebook has failed to provide adequate and required documentation to the regulatory boards.