Big Data Analytics V Conference: Resources
The theme of the 2017 Big Data Analytics Conference was data quality. To view the presentations, please click on the titles below.
Old friends, new foes: trustworthiness, quality and value in the era of Big Data – Ed Humpherson (UK Statistics Authority)
A Scientific approach to data quality – Barrie Wilkinson (Oliver Wyman)
Man plus machine – Geoffrey Cross (Winton Group Ltd)
Ethical issues about big data (and lack of big data) – Elizabeth Wager (Sideview)
The reproducibility mindset: Enhancing big data quality in medicine and research – Keith Baggerly (MD Anderson Cancer Center)
Transforming big data into clinically actionable strategies – John Quankenbush ( Dana-Farber Cancer Institute)
Clive Frostick (IPSOS Mori)
David Robson (IBM)
Erik Mayer (Imperial College London)
Ian Gilmore (National Physical Laboratory)
Sabina Leonelli (University of Exeter)
Winton is a global investment management and data science company. Founded in 1997 by its CEO David Harding, Winton’s business is grounded in the belief that the scientific method can be profitably applied to the field of investing. The firm aims to help savers and institutional clients meet their investing goals by building intelligent, long-term investment systems that evolve as markets change.
As a systematic investment manager, Winton uses tools drawn from data science and advanced technology to identify subtle patterns in the behaviour of financial markets. Winton’s investment funds are all underpinned by the same philosophy: the belief that markets, rather than being what is termed “efficient”, exhibit exploitable behavioural characteristics. Harnessing these phenomena requires the understanding and use of statistical, mathematical and computing techniques.
Winton employs more than 400 people in nine offices around the world and manages approximately $30 billion of assets for many of the world’s largest pension funds, sovereign wealth funds, banks and fund platforms.