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Automated data processing for profiling could be a thing of the past when new EU regulations come in next May, and the advertising industry must be prepared → Read More
Data scientists often move between industries, but can they really do their job well without any business experience? Are they harming their career prospects? → Read More
We take a look at how the technology behind the Amazon Echo works, and its continuing evolution as the retail giant carries on its search for perfection → Read More
We run down the top 20 in our look at the 50 blockchain startups to watch out for in 2018 and how they will revolutionize a diverse array of industries → Read More
We sit down with Sam Yagan, CEO of Shoprunner, to discuss all things data ahead of his presentation at the Big Data and Analytics for Retail Summit in Chicago → Read More
Hysteria around privacy protection is at an all-time high, but privacy is a difficult concept to define, and the idea that it's an end in itself could be harmful → Read More
If your customers think you will misuse or lose their personal data, you're dead in the water. Here is our guide to ensuring that you gain and keep their trust → Read More
Palantir has some powerful clients, including the CIA and the NSA, and its technology is tremendously effective. However, can they be trusted with it? → Read More
Organizations often struggle to correctly identify and attract the people they need to utilize their data to its full potential. We look at how to hire them → Read More
Many big data projects are failing, despite huge investment. Organizations are forgetting that the data needs context, and thick data could be the answer → Read More
Visualization is vital to making the most of your data. We look at what makes certain visualizations effective and look at six inspiring visualizations → Read More
How are universities using analytics to help improve their results? James Ovenden investigates how data is changing the ways that students are learning at university → Read More
Banks have invested heavily in big data and analytics technologies over the last year. We look at what the future holds for its adoption within the industry → Read More
The lack of data talent is a growing problem for companies of all sizes, and the solutions aren't clearcut. We asked a number of experts how to get around it → Read More
The rise of IoT technology is seeing computing pushed to the ‘edge’, away from the cloud, in a shift that has profound implications for machine learning → Read More
GDPR should be seen as an opportunity, empowering companies to use their data better and improve their marketing efforts. We've looked at 3 of the reasons why → Read More
The idea of AI taking over and enslaving humanity against its will is a common fear, but is there a future in which we end up voting it in democratically? → Read More
Disruption has claimed some major scalps recently. Incumbents looking to combat it are increasingly turning to their major advantage - their vast stores of data → Read More
Organizations need to employ a full complement of capabilities to manage the entire data process, from collection to insights, and data engineers are vital → Read More
Natural Language Generation (NLG) has long lived in the shadow of Natural Language Processing (NLP), but is it now ready to take the limelight for itself? → Read More