News stories from Filtered in 2018
Filtered | 06 Dec 2018
Marc Zao-Sanders, CEO and co-founder at Filtered revealed how magpie's API integration is driving intelligent recommendations in the Fuse platform
Filtered | 05 Dec 2018
The multi-award winning training provider, which helps front-line workers solve difficult client problems using therapeutic methods, has digitised its offering using Filtered’s learning recommendation engine and new natural language and free text expression capabilities.
Filtered | 02 Nov 2018
The Learning and Performance Institute have announced the six shortlisted finalists for the Learning Technologies Award 2019 among which is Filtered's intelligent learning recommendation engine.
Filtered | 24 Oct 2018
Last month, Filtered announced its new partnership with employee engagement platform Perkbox to deliver personalized learning recommendations to members.
Filtered | 20 Aug 2018
At Learning Live 2018, Filtered’s Solution Architect will be taking the stage with senior L&D managers at Royal Mail Group and Siemens Gamesa to discuss AI in corporate learning.
Filtered | 04 Jun 2018
HT2 Labs have confirmed Filtered’s AI, magpie, will deliver personalized learning recommendations through HT2 products from September.
Filtered | 01 Jun 2018
On Tuesday 12th June 2018 at 12:15 PM, Dr Chris Littlewood, Chief Scientific Officer at Filtered, will present at Learning Technologies Summer Forum.
Filtered | 27 Apr 2018
Following a successful first quarter, Filtered has renamed their flagship product as the company continues to break new ground.
Filtered | 29 Jan 2018
Pioneer of personalized learning, Filtered, will reveal how AI, chatbots and online recommendations can be used in the here and now.
Filtered | 19 Jan 2018
Chris Littlewood, Chief Scientific Officer at Filtered, shares how AI works and delivers practical advice for implementing personalized recommendations in organisations, without the need for another platform.
Filtered | 11 Jan 2018
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Filtered is an award-winning company which uses technology to personalize learning for the world’s 230 million knowledge workers. Their market-leading product, magpie, makes intelligent learning recommendations powered by AI and delivered through a chat interface. It makes sense of vast libraries of learning assets in seconds to provide a personalised learning feed.