Machine Learning (ML) techniques are used to analyze the content based on specified criteria. The analysis may include, for example, identification of user specified faces/objects in videos, faces/objects in images, text in images, etc. Transcription of audio is performed (for video and audio content) for analysis using NLP techniques. This results in creation of rich content metadata that unlocks its true potential - without the inefficient and expensive manual tagging. The capabilities such analysis can enable are extremely powerful.
The analysis enables capabilities such as deep search, efficient collaboration, content sanitization and recommendation engines. With deep search for example, the analyzed results are indexed such that the user can find the right content at the click of a button - not just all the content in the repository that meets the search criteria but the exact location within each content (think google, but focused on your enterprise multimedia content). Not only does this result in tremendous productivity gains but also provides avenues for smarter content, better discovery and monetization.
Content creation - typically a collaborative effort between internal teams, external agencies/individuals or a combination - requires efficient tools for continuous collaboration and sharing through the content’s life-cycle between all stakeholders and the target audience. The analysis performed earlier not only enables a targeted way to reach your customers but also enables measurement of how the audience is engaging with the content. The insights gained creates an important feedback loop.
All of these capabilities are exposed via a secure API that can be integrated with your application. A cloud native platform can find insights from your data either periodically or on-demand at the click of a button - without the need for expensive in-house development teams. However the platform supports customizations that are often required to enable a specific application or meet unique customer needs. Further, a cloud native platform helps you keep up-to-date with the rapid progress being made in the AI/ML technology without losing focus on your core business.