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title
How Artificial Intelligence and Machine Learning are Empowering Your Media Asset Management - Evolphin Blog
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Metadata is the lifeblood of an effective Media Asset Management (MAM) solution. Media managers rely on metadata to index, search for, and locate relevant assets—without it, users are left to sift through hundreds or thousands of terabytes worth of files to get the data they need. But as those of you with the above-mentioned thousands of terabytes of data will undoubtedly know, this amount of data and the need to curate and tag it presents a paradox. As companies create more data, specifically during post-production, it becomes increasingly time-consuming and tedious to correctly tag all of it. The process of tagging data for efficiency purposes often ends up being incredibly inefficient. This is where Artificial Intelligence (AI) and machine learning come in. While most solutions are not as precise as one might hope, AI and machine learning can perform initial metadata extraction and tagging, and the services are being constantly improved. For example, Google Video Intellig...
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Rahul Bhargava
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