Big data analytics is the use of advanced analytic techniques against very large, diverse big data sets that include structured, semi-structured and unstructured data, from different sources, and in different sizes from terabytes to zettabytes. What is big data exactly? It can be defined as data sets whose size or…

From past performance patterns to potential holiday trends, discover Black Friday statistics to help you conquer the busiest sales day of the year. Black Friday 2020 will, undoubtedly, be one for the books. With several industries feeling the pains of the pandemic lockdowns around the world, the busiest shopping weekend…

State of Play According to Nick Bostrom, any intellect that greatly exceeds the cognitive performance of humans in all domains is superintelligent. Similarly, Mark Tegmark defines a Artificial General Intelligence(AGI) as the ability to accomplish any cognitive task at least as well as humans. While many policy makers see the question of AGI…

State of Play AI and geopolitics have an interesting relationship: First, AI, like space exploration during the cold war, is used as a projection space for a power competition by the two main players, China and the US. …

State of Play AI and Big Data has already changed the economy. They made available new consumer goods (e.g. Alexa) and services (e.g. traffic or translation apps). They have also advanced the productivity of entire markets, such as finance, health care or manufacturing. AI interacts with other high-tech innovations such as cognitive sciences…

State of Play AI and Big Data have already proven to be powerful forces for good and bad, but both technologies pose inherent policy challenges that make some contemplate regulation: The (self-) learning process of AI is opaque, as is Big Data’s ability to piece together conclusions from disparate sources. Sometimes these processes…

This paper addresses the present state of play and future trends, uncertainties and possible disruptions of Artificial Intelligence (AI) and Big Data in the following areas: Political: AI is biased, difficult to scrutinise and to estimate its power, and — more so when embodied in autonomous systems — potentially dangerous…

ADP, Delos, and the City of New York share their experiences working with design thinking teams from IBM. It is not enough to think about digital transformation when rival organizations are busy executing. …

Machine learning, artificial intelligence, blockchains, predictive analytics — all amazing technologies which have promised to revolutionise business and society. They are useless, however, without data. Fortunately for businesses and organisations which don’t have the resources to methodically collect every piece of useful information, they will need themselves, a huge (and…