Industry-agnostic cloud native framework for cognitive deep learning

Offentlig prosjektsammendrag

Hue was started in 2001 to build the world's leading scientific visualization product - which we arguably did. This visualization technology was licensed by some of the world's largest oil and gas companies. Due to this, we began to work closely with management, end-users, and researchers in these companies. We soon understood that although the world's leading visualization was tremendously appreciated, their actual challenge was to make timely decisions from their data. We then pursued to build the world's most interactive and fast computational framework for large scale oil exploration data such as seismic. We soon understood that in order for us to build the world's leading computational framework, with leading graphics, we needed the world's most scalable and fastest way of storing and retrieving multi-dimensional datasets such as seismic. Once again, we managed to build this over several years. Once again, some of the world's largest companies adopted these capabilities as part of their flagship products for oil exploration and production. In the past few years, three major shifts have occurred: In almost every industry, the volume of acquired data expands much faster than the ability and resources to interpret and analyze the acquired data. Secondly, although cloud vendors have made an abundance of computing and storage available, most scientific industries lag adoption compared to general IT adoption. And finally, the recent innovations in AI, specifically deep learning, opens for entirely new ways of assisting end-users in data analysis. Not just in oil and gas, but in many other industries that share the same problems, such as life sciences, medical imaging, autonomous vehicles and so forth. Hue, and its parent, Bluware, aims to bring all these innovations together and bring these to users through partnerships with global companies.