Solving the data utilization gap has become a perennial subject in the world of tech.
There’s so much data being created – 44 zettabytes by 2020, according to IDC that the capabilities of data analysts relied on by companies to uncover meaning is set to be outstripped by the sheer scale of data created every day.
It calls for a new approach to be taken: Narrow AI. Because, despite folklore and warnings from Elon Musk, artificial intelligence encompasses much more than killer robots.
Take Shazam as the example at hand, the music discovery service have had to think long and hard about solving the data utilization gap. The unicorn collects 1 billion pieces of data from their users, every single day.
This can tell you rather a lot about the world’s listening habits. Allowing the business to build data sets around future hits, essentially possessing the ability to predict the consumption behaviour of the music world.
Shazam want to harness that power of that to “help users have a much better experience.”
Design can only take this so far, and creating a platform to shift users attention away from the likes of Pandora, Spotify and Apple Music requires something more intelligent.
The true winners of the future will provide contextually relevant and personalized experiences.
AI will make this possible; it adds an intelligence layer to big data that helps tackle hugely complex analytical tasks much faster than humans could ever hope to.
The Executive Chairman of Shazam, Andrew Fisher at the GIC Great Global Investment Conference when talking about the huge amounts of data collected by Shazam explained the importance of AI in solving the data utilization gap:
“Artificial intelligence, machine learning can be away of scaling that. We have 20 million people every day that use Shazam, that’s a lot of data and a lot of individuals that we are trying to improve the experience of. And it is only possible if we have some kind of automation.”