Filtered is a finalist in two categories: the Learning Technologies Award and the Innovation in Learning Award. As hundreds of companies submitted their entries, Filtered is one of the very few to be shortlisted for multiple awards.
Filtered uses adaptive learning technologies to deliver courses tailored to each individual’s needs and existing knowledge. Courses cover essential business disciplines from leadership and management to strategy, spreadsheeting, project management and compliance. Clients include ING, Asda, New Look, EE and Regus.
2015 has been a major year for Filtered. The London-based company was nominated 2015 EdTech finalist, hosted ’Personalized training: if not now, when?’, an independent conference on online training and personalization, and recently launched the Filtered Foundation.
Marc Zao-Sanders, co-founder and MD of Filtered, commented enthusiastically on being a finalist at the 2016 Learning Awards: "Industry experts including Josh Bersin and Elliot Masie predict that personalization will revolutionise the way firms upskill their staff over the next few years. This modern way of developing staff will not only reduce the cost of training but also minimise the amount of time spent out of the office compared to structured face-to-face training.
At Filtered we’ve been working hard to make personalized online training a more efficient solution to train staff, and regularly examine the relevant principles businesses can apply to their data to personalize training effectively. It’s fantastic to see that our approach is recognised as a tangible, valuable solution not only by our clients by the wider L&D industry."
Chris Littlewood, co-founder and Head of Science at Filtered, also commented: "What drove us to develop Filtered was a desire to make training as effective as possible, by connecting learners with the most valuable content for them. We have all experienced nuggets of fantastic training – where skills or insight are developed to make a big difference to our performance. We want to be able to select these gems of valuable training reliably, and so we based our personalisation algorithm on real data: our recommendations are grounded in real learners’ experience."
Winners of the 2016 Learning Awards will be announced on 4th February 2016. For more information visit www.thelearningawards.com or contact the Learning and Performance Institute (LPI) on email@example.com.