Bynder, a global leader in enterprise digital asset management (DAM), has announced that it will integrate generative AI features using Amazon Bedrock and Amazon Titan MultiModal Embeddings foundation model, with Bynder’s best of breed, powerful, intuitive, and richly integrated DAM platform.
These integrations built on Bynder’s already industry-leading AI capabilities and will further improve the accuracy and quality of search results in the DAM for its customers.
Innovating using AI is fundamental to Bynder’s product. Recent AI innovations from Bynder highlight the company’s commitment to its customers and their use cases.
With Bynder’s generative AI capabilities, DAM admins can reduce or eliminate the time and effort needed to manage assets, reduce costs associated with management of their DAM, and improve the speed and relevancy associated with the discovery of assets in order for them to deliver more relevant and personalized content experiences to their customers.
Peter-Paul Houtman, Chief Technology Officer at Bynder, said:
“Bynder's decision to utilize Amazon Bedrock ensures that we stay at the forefront of the rapidly advancing AI industry. By leveraging Amazon Bedrock and Amazon Titan MultiModal Embeddings, we can incorporate advanced and powerful new features into our DAM platform. Our work with AWS not only fosters continuous AI innovation but also highlights our dedication to responsible AI practices.”
Bynder AI use cases
Bynder’s AI-powered DAM is delivering meaningful benefits for customers across a wide ranging and growing number of use cases, including:
- Asset reuse and repurposing: Bynder customers have estimated savings of up to $3.5m annually as a result of improved asset findability in the DAM, which significantly reduces or eliminates the need to purchase or create additional assets.
- Reduced time to market: Customers report that the average time taken to find files has decreased by 50%, speeding-up campaign execution and time to market, from weeks to days, to days to hours.
- Improved governance, control and compliance: Customers are utilizing Bynder AI Search to identify assets that are being used across websites and audit those to ensure that only approved, up-to-date assets are being universally used. For example, Duplicate Finder at Upload identifies and prevents up to 400 duplicate uploads weekly, streamlining DAM maintenance efforts.
More details about Bynder’s DAM platform can be found on its listing page in the AWS Marketplace, here.
And for more information on Bynder and its AI capabilities, please visit https://www.bynder.com/en/solutions/initiatives/ai-automation/.