With the introduction of the Intelligent Content Platform, today we are excited to launch Smart Content for Oracle Content and Experience [OCE]. Smart Content represents a powerful rethinking in content discoverability for Creators & Authors in OCE.
Our customers have thousands of digital assets in OCE, however, these assets are valuable only when they can be discovered at the right time for both the content authors as well as content consumers.
The foundation of content discovery surrounds tagging and classifying content:
Today, tagging and classification is a painstakingly manual process, which requires a lot of time for initial tagging, classification and for maintaining the accuracy as content evolves. Our modeling shows that a median enterprise needs to spend hundreds of hours monthly to properly maintain this content. Because of this effort, enterprises are failing to properly tag and classify content, leading to content discovery problems.
In order to alleviate this industry issue, we had to ask 2 questions:
Smart Content is our answer to the above questions. With Smart Content we apply Artificial Intelligence (AI) to analyze content to augment content discovery. In this release, we are launching 2 primary features, Smart Search and Smart Authoring:
The backbone of Smart Content primarily consists of 2 types of AI models:
*Tip: In the event your Search is not efficient, you can always manually tag specific assets to improve results for this particular Search.
“Smart content facilitates more than simple productivity gains and time savings. The combination of intelligent tagging combined with contextual analysis empowers discovery of imagery and assets authors may not have even known about. Smart content generates better ROI for previously created assets and our content investments.”
-Jason Stortz, Principal at Redstone Content Solutions, LLC
The launch of Smart Content vastly enhances content discoverability and authoring for all our customers. We understand that each of our customers have unique content discoverability needs and a general platform won’t be sufficient. We are working towards enabling customers to quickly train the above Computer Vision and NLP models to fit their own needs. For example, instead of just identifying a “tire” as a “tire”, custom models will enable customers to train the models with their own datasets allowing the models to identify the particular type of “tire”.
The OCE team is also working on Visual Search features to help users to find the perfect image for authoring purposes that span beyond text. Finally, we are also developing “Smart classification” to help classify content into taxonomies. The classified content not only helps with organization for authors but also helps deliver relevant content to consumers through personalization.
We are excited about the future of Smart Content as Oracle Content and Experience continues to rethink the way our customers can seamlessly manage content and experience channels.
Lots more to come, Stay tuned!
Attending Oracle OpenWorld? Don’t miss Sree Kamireddy’s session: The Future of Personalized, Immersive Experiences on Monday, September 16 to learn more and get a live look at how this can change the way your team manages content.
Don’t miss a minute of excitement around Oracle Content and Experience at OOW19 by bookmarking the OCE OpenWorld Site.