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

Perhaps even moreso than even big data or blockchain, AI is fast becoming the buzzword on everyone’s lips. Machine learning has been a promising field for years, but with the astonishing success of deep learning techniques, we’re rapidly being propelled into an automated future. But can AI withstand the hype?

It’s no news that unstructured data has been a highly sought after source since its inception, first for determining public topical insights and now for training machine learning algorithms. The critical question to answer is whether you should outsource the collection to overcome business challenges or not? Mike Madarasz explains

An insider tip: if you’re looking for the real inside track on tech innovation at a conference, look to the startups. Undoubtedly the larger companies have the resources and brainpower to fuel the innovations of tomorrow, but many of the nascent ideas which will revolutionise the ways we live and

With the help of a use case, Dr Patrick Vetter, Head of Competence Center Data Science at Supper and Supper GMBH explains how a deep learning methodology can locate and segment wind turbines on satellite imagery. As a pioneer in fighting global climate change, Germany is increasingly investing in renewable

A clever algorithm that has digested seven decades’ worth of articles in China’s state-run media is now ready to predict its future policies. The research design of this “crystal ball” can also be applied to tackling a variety of other problems. Supervised learning — the most developed form of Machine

The pace of life and industry is accelerating at an unprecedented rate. Interconnected tech, inconceivably fast data processing capabilities and sophisticated methods of using this data all mean that we’re living in fast-forward. The Data Natives Conference 2018 will be exploring life at an accelerated pace, and what rapid innovation

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 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