IBM’s AI software Watson is being utilized to make better organisational targeting for advertisements that is native with ADYOULIKE.
The technology scans publisher pages of ADYOULIKE network of premium publishers, analyising them contextually for sentiment, topics and semantics instead of searching for key words.
This usually means the platform can deliver native articles in-feed in a much more relevant and targeted way, by studying where, why and how the present editorial content on each site is ‘speaking about’ topics and guarantees advertisers are dynamically delivering the best native content to match.
The data will be usable with buyers next year and is currently available through the DMP of ADYOULIKE.
This also signposts the near future of digital content as we move towards the 2020s
Julien Verdier, CEO of ADYOULIKE, stated semantic targeting AI for native advertisements would “revolutionise” how native advertising is delivered in scale.
Sport changer
“It’s a game changer for the native advertisement industry. We’re now able, in real time, to associate any sort of marketing content to the matching editorial context, whatever the level of semantic targeting expected by both publishers and advertisers. We feel that azure contextual targeting is the only way to make the most of the native opportunity.
Verdier added that ADYOULIKE is paving the way for ‘deep advertisements’ and will expand its own DNA platform.
“The Watson AI can examine present content in a means which was previously impossible, supplying a wealth of contextual data that assesses not just what a publisher is writing about, but. This makes it a priceless tool for native advertising, which relies on being as relevant as possible.
“This also signposts the future of electronic content as we proceed towards the 2020s. We have so much access to data now, so it is about who can utilize and analyse that data most efficiently and craft persuasive content that plays to all those insights,” he added.
