How do you merge the perspectives of the data scientists, entrepreneurs, investors, student and CTO’s under one roof when it comes to data-driven decisions? How do you bring together the likes of Google and IBM with academics and universities to find answers to the most relevant questions in the world

Last year, we set up a prediction model on crime in London. We had established the model already, grounded in open data, but updated it to make predictions about 2017. We took the data provided by the police in the greater London area, and by enriching this data with Points

Organizations yearn order and simplicity over chaos and confusion, but the data-driven era we live in challenges these desires on a daily basis. Seemingly every day, massive amounts of transactional and streaming data is being introduced into enterprises. This data must be collected, deciphered, shared, and acted upon. Cloud-native technologies

The success of data-driven projects has quite a few challenges and barriers. Here is a look at how you could overcome them by simply asking yourself three questions. Data has become probably the most valuable asset that companies could have nowadays. It can give you insights into your customers’ behaviour

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

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

We live in a world of 1’s and 0’s, a world of data. Consumers and businesses send and receive enormous amounts of data all day, every day. From smartphones that learn how the user behaves to purchasing decisions that inform marketing messaging to analytics that can isolate flaws in a

Data management strategies have undergone a significant change over the last decade. A decade ago the responsibility of data management laid with the IT department, while data analytics were performed in other departments individually based on the needs. Now, we are seeing a significant shift towards a more centralized approach

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

Car-generated data is set to transform the auto industry and the consumer driving experience, but there are significant challenges along the way.   What’s the most disruptive trend in the auto industry today? If you answered “electric engines” or “self-driving cars,” not so fast. The real game-changer for the industry