THE MORE THE SYSTEM IS USED, THEMORE ACCURATE THE DATABASE BECOMES
There are still going to be false results that need to be curated before they go to the edit,” he says. For example, Carew-Jones admits the AI thought a shot of a camera tripod was a machine gun. “It’s an organic process,” he says. “The more the system is used, the more accurate the database becomes as those errors are removed.” While Arrow did not use Curio’s facial recognition tools in its initial application, it plans on utilising them in the future to help catalogue 400 hours of interview footage, as well as speech recognition tags to search by topic. The system also required Arrow to embrace integration with APIs (Application Programming Interfaces) – unchartered territory for the firm. “We don’t write the programs or the script, but we need APIs to make the most of the opportunities that the system presents,” says Carew-Jones. Arrow is currently developing custom models to open up its archive of specific subjects, including AI models to identify specific models of aeroplanes.
Carew-Jones’ advice for firms looking to explore AI’s commercial benefits is not to take a fixed view of what’s possible now and what can be improved over time. “Objects like animated characters can take time. If Arrow had started off with that, they’d still be stuck here six months later. Focus on quick wins first.” He also suggests onboarding senior managers and encouraging them to become tech champions, so they’re more likely to invest in incremental improvements further down the line. There’s no doubting the AI technology available is pretty impressive. Now is the time to get practical hands-on experience and make the most of it.
ON GOAL The system’s panoramic 4K camera captures all the action
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