Newsweek and International Business Times are to host an Artificial Intelligence and Data Science event, taking place on 1 and 2 March 2017 at the Barbican in the City of London.

The event, which is taking place in association with Imperial College London will bring together data scientists from banks, hedge funds and fintech startup companies to discuss the frontiers of AI and machine learning technology in financial markets. IBT Media is the parent company of Newsweek and International Business Times.

Professor Nick Jennings CB, FREng, Vice-Provost (Research) Imperial College, said: "Imperial College London is at the forefront of getting technology and economics/business expertise working together to create real impact at the forefront of the fintech revolution.

"We have a broad and substantial expertise, from crypto-currency to financial economics, from signal processing to mathematical analysis and from AI to data processing and high performance computing.

"Academics from economics and data science work closely with computing engineers, mathematics. This melting pot is required to drive forward major advances in this strategically important area."

Day one of the event will focus on new and interesting data sets that market participants can capture, clean and extract value from, in the search for benchmark-beating returns.

The day's sessions will feature presentations and panels from a range of third party data processors, and providers of exotic data sets, such as IoT, satellite data, freight and customs data, text and social media, financial exchange and order flow data.

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The second day will look at information aggregation, risk and portfolio management, and how machine learning can be used to provide advances. It will also look at how regulators are interfacing with and incorporating new technologies.

Steve Roberts, director of the Oxford-Man Institute and professor of Information Engineering, University of Oxford, said: "We are in the midst of an information revolution, where advances in science and technology, as well as the day-to-day operation of successful organizations and businesses, are increasingly reliant on the analyses of data.

"Driving these advances is a deluge of data, which is outstripping the increase in computational power available to process it. Research in data science is already transforming our ability to work with large amounts of complex financial information.

"Over the next few years these trends will revolutionize how we think about data, how we process and visualize it, and how we put it to use. Data alone, however, is not enough. We need to create new tools and methods that can give deeper insight into financial markets - how they behave, how they become stable or unstable, how to extract value from data at scales beyond human and how they could be made to work better."

Professor David Hand, chief scientific advisor, Winton Capital Management, added: "The world is changing: big data, streaming data, open data, high frequency data, and administrative data are just some of the creatures inhabiting this new world of data. Keeping up with this evolution is critical if we are not to fall behind in our understanding of the world.

"Data science-the technology of extracting information from data-has become critically important to commercial success and public understanding. But data science itself, like the raw material it processes, does not stand still. New tools, methods, and ideas are constantly being developed. The old adage, that the half-life of knowledge is five years, seems particularly pertinent in the world of data science."

Register your interest in the event or find out about sponsorship opportunities here.