Artist Empowerment through Machine Learning - Berlin Music Tech Meetup #15

Let’s connect and learn about the power of AI for music to enhance the career of artists!

This meetup will highlight the opportunities for artists to make the most out of their music by using tools that are driven by machine learning.

We will look at the benefits of AI to promote and monitor music, receive royalties, reach fans, and create more value out of the creative works of artists.

We will learn about the challenges and what it takes to be an entrepreneur in the music tech business that aims to bring value to the industry with AI tools and how the music ecosystem can be more transparent and fair.

Meet and connect with like-minded individuals from diverse backgrounds, network, share ideas, and enjoy having fun and free drinks.

We are grateful that the Berlin Senate Department for Economics, Energy and Public Enterprises provided us with some funding for this event.

See you at Forum Factory on Monday, November 6 from 6.30 pm on.

Entry is free!

PROGRAM IN A NUTSHELL

Witness presentations from experts at the intersection of machine learning and music who will share their insights, ideas, and projects that can empower artists to make the most out of their music.

Doors Open: 6.30 pm

Presentations: 7.00 – 8.30 pm

Jakob Höflich: Understand and promote your music with AI tagging and search.
Dr. Amélie Anglade: Using AI in Music Tech: a freelancer’s perspective
Albert Gruber: Real-time music recognition and fan activation for the music industry.

Networking: 8.30 – 10 pm

Entry is free. Beer is free. RSVP is Mandatory

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1st PRESENTER: Jakob Höflich

Better understand and promote your music with AI tagging and search

One of the biggest challenges for artists and producers is to put their own creative work into words. However, this task is inevitable when marketing their music to DPSs such as Spotify or the press. Jakob, co-founder of Cyanite will present some practical use cases of how their tool can be used to extract creative metadata from music, write song bios, and support the pitching process to free up more time for creative work.

2nd PRESENTER: Dr. Amélie Anglade

Using AI in Music Tech: a freelancer’s perspective

Dr. Amélie Anglade has been a Machine Learning and Music Informatics specialist for 19 years, 9 of which as a freelancer/consultant. Her focus has primarily been on supporting startups building music applications that require AI for recommendation/search/playlisting/discovery, e-learning, music and health, rights management, etc.

In this talk she will share insights into her work, highlighting the benefits and specific challenges of a Machine Learning consultant in our industry, and how this has evolved over the past few years with the explosion of AI.

3rd PRESENTER: Albert Gruber

Real-time music recognition and fan activation for the music industry

Tracking and monitoring music which is played during a live performance has been a great challenge for the music industry. With the help of machine learning for Music Recognition Technology, seeqnc developed a tool that notifies artists, labels, and other stakeholders instantly every time their music is played during a live performance, a live-stream, or on social media. Eventually empowering creators to promote their music better, connect with their fans, and provide the data for fair remuneration and payouts of royalties as well as a protection of their rights. Albert, co-founder of seeqnc will explain the tools they have built to to contribute to a more transparent and rewarding live music environment.

WALL OF OPPORTUNITIES

A big piece of paper, pinned to a wall with space for everyone to leave a note. Make use of it if you are looking for a project partner or if you want to offer your own skills and services.

AN EVENT FOR EVERYONE.

Whether you are interested in learning more about music, new technology, AI, entrepreneurship in music tech, or if you just want to hang with the local Berlin music tech community, this event is for you.

BEER

is FREE. 😉

REGISTRATION

RSVP is mandatory. Space is limited.