The impact of artificial intelligence (AI) in music business industry
Olayeni, Simeon (2023)
2023
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2023102327854
https://urn.fi/URN:NBN:fi:amk-2023102327854
Tiivistelmä
Artificial intelligence tools now offer an understanding of a few of the issues that previously perplexed stakeholders throughout the music industry. Labels are now able to make more informed decisions about their investments thanks to analytics and prediction models, which are based on a more thorough understanding of the audiences' tastes and the competitive landscape. AI technology will not go away. Beyond comprehending listeners and their preferences, it is nevertheless being used in novel and creative ways, and it is now the most recent technique for making music.
The goal of this thesis was to focus on analyzing and determining how AI tools have an unparalleled impact on music creators, sellers, and consumers. In this thesis, the theoretical part focused on a continually shifting industry with overstimulated customers. AI has been the only technological breakthrough that has offered clarity for brands, creators, and other industries. Therefore, application of AI and machine learning helping to guarantee a positive listening experience are services like Spotify and Apple Music, which are responsible for most of the industry's revenue. User demographic, listening, and other behavior data help the platform make better suggestions for artists and albums. This research will employ a qualitative research design, surveys, and case studies to gather data. The sample will consist of music industry professionals, including musicians, producers, record label executives, and technology experts. The data will be analyzed using thematic analysis, identifying patterns and themes in the data.
In conclusion, this thesis will contribute to the understanding of the impacts of AI on the music industry. The findings will provide insights on how AI is changing the way music is created, distributed, and consumed and its implications for the role of musicians in the industry. The research will also identify the opportunities and challenges that AI presents for the music industry and its prospects.
The goal of this thesis was to focus on analyzing and determining how AI tools have an unparalleled impact on music creators, sellers, and consumers. In this thesis, the theoretical part focused on a continually shifting industry with overstimulated customers. AI has been the only technological breakthrough that has offered clarity for brands, creators, and other industries. Therefore, application of AI and machine learning helping to guarantee a positive listening experience are services like Spotify and Apple Music, which are responsible for most of the industry's revenue. User demographic, listening, and other behavior data help the platform make better suggestions for artists and albums. This research will employ a qualitative research design, surveys, and case studies to gather data. The sample will consist of music industry professionals, including musicians, producers, record label executives, and technology experts. The data will be analyzed using thematic analysis, identifying patterns and themes in the data.
In conclusion, this thesis will contribute to the understanding of the impacts of AI on the music industry. The findings will provide insights on how AI is changing the way music is created, distributed, and consumed and its implications for the role of musicians in the industry. The research will also identify the opportunities and challenges that AI presents for the music industry and its prospects.