Ready For The Return Of Live With The Help Of AI

Musiio is able to recognize the genre, bpm, format quality of tracks and automatically categorize them on a large scale. Many companies that recommend songs – or concerts for that matter – to their users, based on listening habits, simply use the API of any given streaming service to pull whatever genre information is available.

Musiio goes much deeper. The technology analyzes sound pictures, so called Spectograms – basically wave forms amplified to a much higher resolution and thus revealing a lot more information – to work out a song’s characteristics, including moods, instruments, language and a lot more. 

In times when Spotify is adding some 40,000 new songs to its catalogue every day, appearing in the right playlists, being found in the right searches, has become more important than ever for any artist who doesn’t want to get drowned out by the noise. This, in turn, will be particularly important, as long as artists are confined to engaging with their fans digitally through live concert streams. 

“If a video streaming service has 10 million daily unique watches, how do you create a unique offering and place it in front of viewers? How do you know what’s happening on every channel? You can automate a large part of that content identification using artificial intelligence,” Savage explained. 

A more thorough data set can help upsell the concerts that are currently being recorded as live streams, as well as upsell concerts tickets to customers once business opens back up.

“Using our technology to create better data around the recorded and streamed music that’s created, can be beneficial to the live music industry,” said Savage, and continued, “If you are live recording and streaming those concerts, using Musiio to listen to the end-result audio file can certainly add beneficial tags to help that track get placed, particularly when turning that event into a live album. You can tag that live album with Musiio’s data before it’s uploaded to all the DSPs.” 

The correct mood tags, for instance, are more relevant than ever, in times when people ask their virtual assistant AI technology of choice to play something happy or sad. 

Once concert tickets become available on a mass scale again, creating a robust online sales strategy to sell more than usual will be paramount to make up for at least some of the losses incurred this year. Promoters can use Musiio to recommend concerts to fans based on tickets they’ve bought in the past. 

“You can use the data to strengthen your marketing and sales efforts to always be building a more wholistic 360-picture of both your customer and the events that you have,” Savage said.

Savage, a Metallica fan, remembers being recommended a Coldplay concert by a ticketing agency in the past, because both bands are tagged as rock on Spotify. No offense to fans of both, but because Musiio analyses songs on a much deeper level, recommendations tend to be less erratic. 

“We have had companies use Musiio’s technology to be able to generate more keywords and tags either on specific artists or specific concerts they’re putting on. It helps them build a data set that lets them market to other customers for different live events,” she said.

Once venues open back up, promoters and venue operators will be happy to use any trick in the book to make sure every fan knows about every shows that’s on. Missing out on potential customers, because they simply didn’t know about a gig, will have to be avoided. Having more granular data to fall back on in order to achieve that can’t hurt. 

“I appreciate that we’re not a specialized company in the live space, but if this could be a little added bonus to get the live industry across what’s happening, hopefully it will add some value,” Savage concluded.