How STIM Gained 3 AI Solutions in 2 Days: Devoteam’s GenAI Hackathon

Estimated reading time: 6 minutes

In a dynamic two-day GenAI Hackathon, Devoteam collaborated with STIM, Sweden’s premier collecting society for music, to pioneer generative AI solutions. This initiative resulted in three innovative project demos, showcasing immediate production potential and paving the way for future collaboration, significantly enhancing STIM’s operational efficiency.

Client Background

STIM is a non-profit member organisation tasked with ensuring that its more than 109 000 affiliated rightsholders and music publishers get paid when their music is used.

They are Sweden’s largest music licensing company, managing and representing the rights of songwriters, composers, and music publishers. Committed to innovation and operational excellence, STIM sought to explore the potential of generative AI to address key business challenges and enhance internal processes.

The Challenge

STIM faced several operational challenges that could be streamlined with AI, including:

• Inefficient internal FAQ processes.
• Difficulty extracting song titles from images.
• A need for more nuanced sentiment analysis of customer emails.

These challenges highlighted an opportunity for STIM to leverage generative AI to improve efficiency and customer experience.

The Solution

Devoteam orchestrated a two-day generative AI hackathon with STIM, focusing on collaborative problem-solving and solution development. The key components of the solution were:

• Collaborative Hackathon: A two-day event with 40-50 participants, including STIM’s CIO, to foster innovation and develop tangible solutions.
• Prioritisation: An impact/confidence scoring system was used to prioritise projects, ensuring alignment with STIM’s most pressing needs.
• Project Development: Three key projects were developed: an internal FAQ bot, song title extraction from images, and sentiment analysis for customer emails.
• Client Engagement: STIM’s active participation and technical expertise were crucial to the hackathon’s success. Their preparedness and clear articulation of needs facilitated a smooth and productive process.

The Results

The GenAI hackathon yielded significant results for STIM:

• Successful Demos: Three successful project demos were created, showcasing the potential of generative AI to address STIM’s challenges.
• Immediate Production Potential: At least one project demonstrated immediate production potential, highlighting the practical applicability of the solutions.
• Enhanced Efficiency: The internal FAQ bot and sentiment analysis projects promise to significantly enhance STIM’s operational efficiency.
• Improved Customer Experience: The sentiment analysis project aims to improve customer experience by enabling more tailored and appropriate responses.
• Future Collaboration: A follow-up meeting was scheduled to discuss further collaboration, indicating STIM’s satisfaction and commitment to continued partnership.

Conclusion 

To sum up, the hackathon organnised by Devoteam and STIM stands as a testament to the power of collaborative innovation and the transformative potential of generative AI. By focusing on client needs, leveraging expert facilitation, and fostering a dynamic environment, Devoteam helped STIM achieve tangible results and set the stage for future success.