The cart before the horse? What are we talking about: You have the perfect scenario in front of you. You or your team just learnt about an exciting way to analyse data, found a new data-source that looks very promising, or were impressed by a new data visualisation tool. Understandably,

In today’s IT world, everything is about being fast, flexible and efficient. We work agile, build prototypes and use fast-scaling adoptive cloud infrastructure. At the same time, the advances in the fields of AI and machine learning seem to make a business world possible, in which many tasks are optimized

Breaking down some major myths and realities surrounding AI and examining how people are helping drive Artificial Intelligence forward. As Artificial Intelligence is set to hit the mainstream, big dreams abound. Recent headlines demonstrate fantasies that range from self-driving cars perfectly propelling people through their morning commutes to nightmare scenarios

It’s easier to get a job if you are an Artificial Intelligence (AI) or Machine Learning (ML) ‘expert’, and investors want to bet on companies which use the words AI or ML in their mission statements. And why should that not be the case? McKinsey estimates AI techniques have the

Preparations are well underway for the 2018 edition of Data Natives– the data driven conference of the future, hosted in Dataconomy’s hometown of Berlin. Data Natives brings together a global community of data-driven pioneers to explore the technologies that are shaping our world- from big data to blockchain, from AI

Diabetes is a disease that trifles victims on a world-wide scale and as big data and artificial intelligence (AI) become more innovative, so are methods of treating diabetes. Here are just five ways big data and AI are rerouting diabetic treatments. With nearly half a billion people living with diabetes