Industry

• Publishing, Audiovisual and Information Communication Industry (JMajor Category)
• Information Services Industry (63 sub-categories)

Industry Pain Points

• Digital Music Piracy and Copyright Protection: With the prevalence of digital music distribution, piracy and infringement issues are becoming increasingly severe.
• Income Distribution and Fair Compensation: The emergence of music streaming media platforms has sparked issues regarding the distribution of income for artists and music producers in the digital environment.
• Innovation and Business Model Transformation: Rapid technological advancements have changed the patterns of music creation, dissemination, and consumption, necessitating continuous innovation and new business models.
• Market Competition and Brand Building: Strategies such as brand building, market positioning, and promotional strategies are vital for distinguishing one’s music brand among many competitors to become an influential and competitive brand.
• Internationalization and Global Market Expansion: Facing challenges such as language, cultural and market differences, a strategy to develop international markets and establish a globalized music brand and marketing strategies is essential.

IntroductionAIBenefits

• Personalized Recommendations and Precise Targeting: Analyze user behavior to provide personalized music recommendations and precise market targeting, enhancing user experience, loyalty, and consumption probability.
• Accelerate Music Creation and Production: Automatic music creation, synthetic music, and lyric generation as creative auxiliary tools for music creators and producers, improving efficiency, reducing costs, and introducing new musical styles and sounds.
• Copyright Management and Tracking: Manage copyrights and track infringements on digital music platforms to protect the copyright interests of music creators and rights holders.
• Music Market Trend Analysis: Analyze extensive music data to identify market demands, predict trends, provide in-depth insights, and make strategically informed business decisions.
• Enhance Innovative Experiences: Create virtual singers and performers, offering unique musical and visual experiences, expanding the possibilities of music creation, attracting more audience and fans, and increasing revenue sources.

Common AI Technologies or Applications

• Content and Collaborative Filtering: Use AI like content and collaborative filtering algorithms to analyze users' music preferences, playlists, and behavioral data, offering personalized music recommendations, increasing user stickiness, improving user experience, and promoting music consumption.
• Convolutional Neural Networks: Use AI algorithms like convolutional neural networks to recognize images in music covers, posters, and music videos, and integrate them with augmented reality technologies to offer a unique interactive and entertainment experience.
• Convolutional Neural Networks, Recurrent Neural Networks: Use AI technologies such as convolutional neural networks to analyze music scores, and recurrent neural networks to analyze tunes, identifying musical impacts on listeners’ emotions, and adjusting marketing strategies and music production directions.
• Generative AI: Utilize natural language processing technologies to analyze lyrical text data, incorporating generative AI like pretrained transformers for lyric generation, providing creative inspiration for creation and marketing. Additionally, use Generative Adversarial Networks (GANs) to produce new musical works, simulating different styles and genres of music, and exploring new musical styles and sounds.

 

「Translated content is generated by ChatGPT and is for reference only. Translation date：2024-05-19」