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Practical Applications of Machine Learning as part of a Knowledge Management Platform

Rich, time-based metadata is a key requirement for knowledge management platforms. GrayMeta and the industry membership organisation, the IABM, discuss the practical use of machine learning and AI services to automatically generate enriched content metadata to help save costs in repurposing content, improve efficiencies and provide a platform for research.  

Join this session to learn:

  • How machine learning services can add value to knowledge management platforms and creative teams
  • What lessons were learned from trying different machine learning services
  • How enriched metadata can help to repurpose content to help the IABM’s members


A link to the recording will be shared post-webinar with all registrants.



Head of Digital
Managing Director EMEA
GrayMeta Inc
Head of Knowledge

Sponsored by:


GrayMeta supports the digital transformation of organizations seeking to realize the benefits of intelligent metadata powered by machine learning. GrayMeta enables organizations to migrate content from analog to digital, connect, extract and make sense of unique data, and validate every aspect of its quality in a collaborative manner, unlocking the undiscovered value of assets. For more information, see