How data science helped to identify Londons most polluted parks

How data science helped to identify Londons most polluted parks

Speaking at the Newsweek’s AI and Data Science in Capital Markets conference, Dr. Aida Mehonic, data strategist and engagement manager, highlights how her U.K. startup, ASI Data Science, uses data science and analytics to do everything from identifying the most polluted parks in London to targeting the next underpriced sports stars to pinpointing overcrowded city housing. Mar 2, 2017
The entire internet only matched the capacity of the human brain in 2010

The entire internet only matched the capacity of the human brain in 2010

Speaking at the Newsweek’s AI and Data Science in Capital Markets conference Dr. Stephen Roberts, director of the Oxford-Man Institute and professor of machine learning at the University of Oxford, tells Newsweek that the entire internet only recently matched the capacity of a single human brain. Mar 2, 2017
How AI could cure diseases and save lives

How AI could cure diseases and save lives

Speaking at the Newsweek’s AI and Data Science in Capital Markets conference Tristan Fletcher, co-founder of London artificial intelligence startup Informed Actions, describes how evolving quantitative approaches are going well beyond finance to advance humanitarian goals in health care, improve ambulance services in South Africa and tackle pollution in China. Mar 2, 2017
How AI could cure diseases and save lives

How AI could cure diseases and save lives

Speaking at the Newsweek’s AI and Data Science in Capital Markets conference Tristan Fletcher, co-founder of London artificial intelligence startup Informed Actions, describes how evolving quantitative approaches are going well beyond finance to advance humanitarian goals in health care, improve ambulance services in South Africa and tackle pollution in China. Mar 2, 2017
Why proprietary data is not as valuable as it used to be

Why proprietary data is not as valuable as it used to be

Speaking at the Newsweek’s AI and Data Science in Capital Markets conference  Michael Beal, CEO of London-based quantitative hedge fund Data Capital Management, talks about why he isnt a fan of using proprietary data, and how traders need to have the skill or the will to join Wall Streets rising wave of quantitative traders. Mar 2, 2017
The challenge of sorting good data from bad data

The challenge of sorting good data from bad data

Speaking at Newsweek’s AI and Data Science in Capital Markets conference Temmer Kamel founder and CEO of Quandl discussed the challenge of sorting good data from bad data, and how to tell the difference.  Mar 2, 2017