Wednesday, October 27, 2021
In this talk we will describe Adobe Content and Commerce AI - a suite of API first services developed for Content Intelligence. Content here refers to textual documents as well as images. Our services are created to extract meta-data from content and leverage it to power different use-cases. For instance, we extract key-phrases, entities, concepts among other things from text documents. Similarly we extract color profile, objects, text, personalities from images. We enable enterprises to categorize the content based on custom taxonomy. Such meta-data could power use-cases for content management, recommendation and personalization. Concretely, one such use-case is AEM - Adobe's content management offering. AEM Assets is a cloud native, platform as a service solution for experience management that helps businesses efficiently perform their Digital Asset Management. It leverages Adobe Sensei API’s for content intelligence to drive automation of tasks and operations that are typically done manually. For example, AEM leverages Sensei’s auto tagging API’s to produce a list of tags, or keywords, associated with an asset. These API’s are automatically run on asset ingestion, after an asset is uploaded to AEM. Having this list of tags makes the asset searchable across the DAM through keywords, heavily reducing the time for DAM users to deliver rich experiences to their customers.