GumGum Debuts 'Verity' Contextual Analysis Solution

In California, advertising and media computer vision specialist GumGum has launched a tool called Verity, which analyses the full publisher content of web pages, including images.

GumGum uses artificial intelligence, natural language processing and patented algorithms to 'read' online images, and then place related ads next to them. Unlike other tools, which just scan text and metadata, the firm's new Verity contextual analysis solution scans web content - including images - to offer content-level insight to digital publishers. The solution features a set of machine learning capabilities for keyword, named entity, object and 'hate' logo detection, as well as contextual taxonomy, major event, scene, threat and sentiment classification.

CEO Phil Schraeder (pictured) comments: 'Looking ahead to a cookieless future, we saw that publishers would need greater insights about their content to facilitate the potent, safe contextual targeting experiences that will drive revenue. Those insights can't come from basic text and metadata search, because the web is visual. You need to see the pages the way users do if you really want to understand what they're about. With Verity, we're giving you the whole picture, so you can get the greatest value out of your content'.

Web site: www.gumgum.com .

All articles 2006-23 written and edited by Mel Crowther and/or Nick Thomas, 2024- by Nick Thomas, unless otherwise stated.