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36
pages
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English
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Documents
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2016
Description
IMAGE INTELLIGENCE: MAKING VISUAL CONTENT PREDICTIVE Including 30 use cases for image intelligence in the enterprise By Susan Etlinger, Analyst Altimeter, a Prophet Company July 18, 2016 EXECUTIVE SUMMARY People no longer communicate online simply via written content, such as posts and comments; they upload and share billions of photos every day. This can be both exciting and terrifying from a brand perspective, because approximately 80% of images that include one or more logos do not directly refer to the brand with associated text. As a result, organizations are missing the content and meaning of images and are unable to act on the opportunities or risks they present. Companies ranging from technology startups to industry Goliaths, such as Facebook and } i] >Ài `iÛi « } ÌiV } iÃ Ì >Ì ÕÃi >ÀÌ wV > Ìi }i Vi Ì > > Þâi Ì i V Ìi Ì of images. Increasingly, they’re applying analytics to images to better understand their impact on the business. But the opportunity for organizations to make sense of images isn’t just about recognition and analysis; it’s about image intelligence: the ability to detect and analyze images, incorporate them with other data sources, and develop predictive models to forecast and act on emerging trends. This report lays out the current market opportunities, challenges and use cases for image intelligence and offers recommendations for organizations that wish to unlock the predictive potential of visual content.
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Publié par
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Publié le
16 novembre 2016
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Langue
English
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Poids de l'ouvrage
3 Mo