The explosion in renewable energy projects on blockchain is already promising—there are 122 startups operating in the space, with nearly half launching since 2017. More impressively, these startups have raised over $320 billion between the second quarter of 2017 and the first of 2018. Electricity is undoubtedly one of the

The data necessary to account for every aspect of our human complexity poses significant challenges to health AI systems. There’s certainly no way around data science to get a hold of it – but don’t you count physicians out too soon! Precision Medicine bears the promise to bring highly individualized

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

The Ruhr region known to be a steel and coal mine hub in Europe is reimagining the entrepreneurial spirit which was it’s foundation 150 to 200 years ago. This time lies a huge opportunity for data-driven startups to innovate and collaborate with the big traditional corporates that exist in the

Internet of things or IoT has become one of the most influential technologies, currently connecting more than 23 billion devices. This number is expected to reach 30 billion by 2020 and more than 60 billion by 2024. But the future of this technology is largely debatable, considering that it’s plagued

In the face of overwhelming evidence, consumers can no longer ignore the fact that major tech and social media companies engage in mass data harvesting and the selling of user information to third parties – one need only look to the recent Cambridge Analytica scandal (which impacted not only the users

Kevin Ashton, the man who coined the term “Internet of Things” (IoT), wrote in 1999: “If we had computers that knew everything there was to know about things – using data they gathered without any help from us – we would be able to track and count everything, and greatly

FICO scores will be soon improved by predictive analytics. This new approach is more accurate and can extend to the entire debt management process. Badly assessed financial risks were at the core of the financial crisis in the late 2000s. Banks and credit companies used faulty models which did not

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