Dr Chris Littlewood, Head of Science, Filtered
Algorithms are now widely used online in order to extract insight from the rich data generated by website users. Their use has spread from search, to marketing & retargeting, and we believe we are on the cusp of their proliferation in online training.
But can the algorithms developed for selecting marketing content be applied usefully to online training? We've drawn on our experience of developing an algorithm to select training content in order to propose some principles for the application of algorithms to online training.
During this session, Chris will be discussing:
- The use of algorithms to make online training more personalized
- Perspective on its opportunities and pitfalls
- How Filtered algorithm carefully selects the content most valuable to each user
Dr Chris Littlewood
Chris worked as a consultant at strategy boutique Mars & Co after completing degrees in physics and maths at Oxford and Cambridge, and conducting research in particle physics at CERN. He has ten years’ experience in strategy development and execution across numerous industries. Chris co-founded Filtered in 2009, with Managing Director Marc Zao-Sanders, and he leads on the science behind the product, particularly the filtering algorithm which powers the platform.