AI-based digital asset management solutions help media firms to address their modern age challenges of managing metadata and asset tagging.
FREMONT, CA: The emerging digital content across the industries has made the task of asset management complex for various organizations. Digital asset management assists the different companies by allowing them an easy creation, designing, and distribution of the content. Meta-data, an integral part of asset management, contains various information about the digital file like date, author, and file size. Such data help in the categorization of the files with different specifications. Artificial intelligence (AI) is the key technology that simplifies the tedious task of metadata or asset tagging.
The massive shift to cloud-based storage is one of the superior factors, leading to the rise of AI integration in digital asset management solutions. AI assists the cloud-based asset management solutions by identify the metadata related of digital files. Some features of AI that aid digital asset management efforts are below.
AI can filter the relevant metadata and categorize digital assets based on the array of digital files data. The self-learning ability of AI algorithms can significantly improve the relevancy of the AI-generated metadata. AI holds the potential to extract beneficial information from all the existing content and make them reusable and monetizable.
•Natural Language Processing
Integrating AI can enhance digital asset management abilities and boost automatic language and speech-to-text translation features. With the help of such tools, AI helps the organizations to tag assets automatically according to the location, people, and even sentiment. With the advancement of AI tools, image, and video processing abilities of the innovative asset management solution increase.
• Facial and Speech Recognition
The advanced AI-driven facial recognition technology makes an average digital asset management solution to an exceptional one. Facial recognition ability in asset management help user search images and videos and categorize them based on age, gender, and location of the subjects. Such advanced solutions can recognize speakers by performing a quick search across web-based databases, which contain millions of speech records. Apart from identifying humans, the advanced system recognizes objects too. The advanced tools also provide advantages of Optical Character Recognition (OCR) along with full speech detection for both the on-screen text and speech fully searchable.
AI technology massively contributes to enhancing digital asset management solutions by expanding the assets’ abilities to efficiently store data and increasing the reusability of the existing as well as emerging content. The media firms realize the potentials of AI and actively adopt the technology to stay ahead of global market competition.