Making Your Assets Mean Something: Evolving Asset Management Systems Using Semantic Technologies

Produce more content! Faster! Cheaper! Make it available in different places! And never throw anything away! It is seemingly impossible for media enterprises to keep up with these escalating and often conflicting business pressures. How can media asset management systems evolve to provide the right content based on the intent of the user? Can a creator produce content faster using knowledge hidden within the content? How can assets be easily accessed from distributed locations to enrich the experience? And does content growth exist without exploding costs? The answer to all these questions is yes. It is derived by leveraging tools that provide contextual meaning to the content, so that more effective utilization of the content can be performed. It goes beyond providing rich searching mechanisms to now providing the ability to get insights into the content. It relies on tapping into richer information sources that go beyond logged metadata for a piece of content, to now harvest knowledge from scripts, stories, and dialogue. The answer lies in creating a connected environment between data silos where a central brain has knowledge not just where content is located, but of what is in the content. The answer is in the ability for a Creator to use their native language and express in natural conversational form what they want to achieve when searching for, analyzing, and manipulating the content. The answer lies in tools understanding a user’s creative intent to perform appropriate actions, versus the creative having to learn and manipulate complex user interfaces to achieve the same intent. This paper discusses how certain artificial intelligence (AI) technologies such as Semantic Embeddings, Knowledge Graphs, and Multimodal Large Language Models are coming together under the umbrella of Knowledge Management to solve this problem of meaningfully extracting and using information from content that takes us beyond what we can do today with Asset Management systems.

Shailendra Mathur | Avid Technology | Montreal, Quebec, Canada
Rob Gonsalves | Avid Technology | Burlington, Mass., United States
Roger Sacilotto | Avid Technology | Burlington, Mass., United States