Digital business platform provider Magnolia formed a partnership with IBM in 2015 to integrate with its IBM Marketing Cloud. With the integration, Magnolia users could incorporate the email marketing, lead management and mobile engagement solutions the platform provided into their daily workflows. When Armonk, NY-based IBM folded its Marketing Cloud under the broader umbrella of Watson Marketing in March, the capabilities expanded, which meant good news for Magnolia users. By installing the Magnolia Silverpop Module, Magnolia customers with a Watson Marketing account can plug their Magnolia instances into IBM Watson, bringing further capabilities for personalized content delivery based on scoring models derived from visitor behavior. IBM Watson can, "analyze and interpret all of your data, including unstructured text, images, audio and video [with the aim of] providing personalized recommendations by understanding a user's personality, tone and emotion."
Machine learning applications in editing and post-production projects are coming to the fore, and the BBC recently made use of the technology in its first experimental BBC 4 documentary, 'Made by Machine - When AI Met the Archive'. Vast archives of footage, images, marketing materials and post production work can be used for machine learning applications, and in turn drive creative automation. The technology also offers solutions to internal organisational problems. With the cloud and machine learning algorithms, businesses can begin to structure and automate processes for all of their content, saving hours of manual review and data entry. Video intelligence can identify key speech and individual faces.
Automating the categorization of your images and videos can help democratize access to your organization's creative assets. Many teams throughout your organization have likely spent a lot of time and effort generating high-quality content, but it'd be all for naught if the content just ends up in some anonymous folder on somebody's hard drive or is randomly dropped into your cloud storage with no functional organizational strategy. So, how do you efficiently organize your digital assets, making them easier to find, use, or repurpose? AI content-recognition tagging is a great way to add intelligence and categorize your assets. While not perfect, machine learning is becoming more robust and more accurate every day.