24 TECH FEED Content Management
I WOULD NOT ASSUME…FACE RECOGNITION FROM ONE SYSTEM WOULD BE EQUAL TO FACE RECOGNITION FROM ANOTHER
therefore, different data used in different ways built on similar technology.” Nonetheless, the ability of AI/ML engines to auto‑metatag based on speech-to-text, natural language understanding, sentiment and tone analysis, and semantic scene detection is perceived as an increasingly significant benefit. “The next two years will be full
of things found in archives that we never thought we had,” says Nick Pearce-Tomenius, sales and marketing director at storage specialist
Object Matrix. “One example where we will see this being useful is the trend for consuming old TV series. AI can help find programmes from a specific series, even if it was made 20 years ago, and it can also help find other programmes featuring the same actors potentially. This suddenly makes it easy for broadcasters to monetise their legacy content.” In order for AI to extract the most value from these assets, their location need not be in the cloud. They could just as well be stored on-premises or, increasingly commonly, a mix of owned hardware linked to low- res versions, back-up copies or other data off-site. “Many on-premises asset management systems can export proxies to cloud storage to gather additional metadata,
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