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Bernard Marr

Bernard Marr is a world-renowned futurist, influencer and thought leader in the fields of business and technology, with a passion for using technology for the good of humanity. He is a best-selling author of 20 books, writes a regular column for Forbes and advises and coaches many of the world’s best-known organisations. He has over 2 million social media followers, 1 million newsletter subscribers and was ranked by LinkedIn as one of the top 5 business influencers in the world and the No 1 influencer in the UK.

Bernard’s latest book is ‘Business Trends in Practice: The 25+ Trends That Are Redefining Organisations’

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Bernard Marr ist ein weltbekannter Futurist, Influencer und Vordenker in den Bereichen Wirtschaft und Technologie mit einer Leidenschaft für den Einsatz von Technologie zum Wohle der Menschheit. Er ist Bestsellerautor von 20 Büchern, schreibt eine regelmäßige Kolumne für Forbes und berät und coacht viele der weltweit bekanntesten Organisationen. Er hat über 2 Millionen Social-Media-Follower, 1 Million Newsletter-Abonnenten und wurde von LinkedIn als einer der Top-5-Business-Influencer der Welt und von Xing als Top Mind 2021 ausgezeichnet.

Bernards neueste Bücher sind ‘Künstliche Intelligenz im Unternehmen: Innovative Anwendungen in 50 Erfolgreichen Unternehmen’

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How Artificial Intelligence (AI) Is Helping Musicians Unlock Their Creativity

2 July 2021

Wondering who that hot new collaborator is, on your favorite artist’s new album?

It might just be artificial intelligence.

Progress in AI music is accelerating rapidly, thanks to researchers and musicians at major tech conferences and universities who want to integrate widespread AI into the music world.

 | Bernard Marr

Many artists feel we’re about to enter a “golden age” of creativity, powered by artificial intelligence, that can push music in new directions.

Let’s look at some of the newest ways artificial intelligence is transforming the music industry from top to bottom.

Creating New Songs with the Help of AI

For 30 years, musician and composer David Cope has been working on Experiments in Musical Intelligence (EMI). EMI originally began in 1982 as an effort to help Cope overcome “composer’s block,” and now his algorithms have produced a large number of original compositions in a variety of genres and styles.

AIVA uses AI and deep learning algorithms to help mainstream users compose their own soundtrack music and scores. It’s the perfect tool for content creators on Youtube, Twitch, Tik Tok, and Instagram who need a steady supply of music but don’t have an endless budget for royalties.

Grammy-nominated producer Alex da Kid used IBM Watson to analyze five years’ of hit songs, as well as cultural data from films, social media, and online articles to figure out a theme for an AI-generated song that fans would enjoy. The final song, “Not Easy,” reached number four on the iTunes Hot Tracks chart within 48 hours after its release.

Composers Drew Silverstein, Sam Estes, and Michael Hobe were working on music for big-budget movies like The Dark Knight when they started getting requests for simple background music for television and video games. They worked together to create Amper, a consumer-friendly online tool that helps non-musicians and online content creators make royalty-free music – using their own parameters – in a few seconds.

Creating Virtual Pop Stars

One thing is clear: Since the start of the pandemic, fans miss going to concerts.

To fill the void, Authentic Artists has introduced a large collection of AI-powered virtual artists who can deliver new music experiences.

Authentic Artists’ animated virtual musicians generate all-original compositions to play on screen, and also respond to audience feedback by increasing or decreasing the tempo or intensity, or even fast-forwarding to the next song in the set.

Finding the Next Big Artists

Audio-on-demand streaming like Spotify totaled $534 billion in the United States alone, according to Buzz Angle Music’s 2018 report.

So how do promising new artists get discovered, with all that competition?

Artificial intelligence helps the music industry with A&R (artist and repertoire) discovery by combing through music and trying to identify the next breakout star.

Warner Music Group acquired a tech start-up last year that uses an algorithm to review social, streaming, and touring data to find promising talent. In 2018, Apple also acquired Asaii, a start-up that specializes in music analytics, to help them boost their A&R.

AI Complementing Creativity

AI technology is transforming the music industry in a myriad of ways, but creatives shouldn’t be worried about losing their jobs and being replaced by computers. We’re still a long way from artificial intelligence being able to create hit songs on their own.

But as tools develop and the music industry learns how to use AI as a supplement to human creativity, our world will continue to sound sweeter and sweeter every year.

Where to go from here

If you would like to know more about , check out my articles on:

Or browse the Artificial Intelligence & Machine Learning library to find the metrics that matter most to you.


Business Trends In Practice | Bernard Marr
Business Trends In Practice | Bernard Marr

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