All work
Research & Presentation Design
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Summer 2023
AI Strategy & Technology Research
AI Strategy & Technology Research for Global Digital Business — exploring how machine learning could support music discovery, A&R and catalogue organization.
Client
Sony Music Entertainment
Role
Research • Strategy • Presentation Design • Visual Communication
Timeline
Summer 2023
Skills demonstrated
Technology Research
AI Strategy
Executive Presentation Design
Information Design
Visual Storytelling
Cross-functional Collaboration
Business Communication
(01)
Overview
During my internship with Sony Music Entertainment’s Global Media Production and Global Digital Business teams, I helped research an emerging AI company and develop a strategic proposal exploring how machine learning could support music discovery, A&R decision-making, and internal catalogue organization.
The project culminated in a presentation delivered to senior leadership outlining potential business applications, implementation considerations, and long-term opportunities.
(02)
Challenge
Sony manages one of the world’s largest music catalogues.
As music libraries continue to grow, identifying artists and opportunities becomes increasingly complex. Our team explored how AI could augment A&R by organizing metadata and providing additional insights without replacing human expertise.
(03)
My Role
I contributed to:
Researching emerging AI technologies and their business applications
Evaluating potential workflow improvements for Global Digital Business and A&R
Designing executive presentation materials and supporting visual assets
Organizing complex research into an executive-level presentation
Communicating complex technical concepts through executive-facing visual presentations
Presenting our findings directly to Senior Executives at GDB
(04)
Research Process
Areas of research included:
Machine Learning
Metadata
Trend Prediction
Implementation
Neurophysiology
Analytics
(05)
Opportunity
Objective: Organize large volumes of music more efficiently while providing AI-assisted insights that support creative decision-making.
We proposed an internal AI-assisted workflow capable of analyzing characteristics such as:
Genre
Tempo
Time signature
Loudness
Instrumentation
Lyric sentiment
Song structure
The objective was to organize large volumes of music more efficiently while providing additional insights to support creative decision-making.
(06)
What I learned
This project fundamentally changed how I think about emerging technology.
Rather than viewing AI as a replacement for human expertise, I became interested in how thoughtful implementation can augment existing workflows, improve decision-making, and help organizations make better use of complex information. That perspective continues to influence how I approach design and technology today.
Blue Team and Red Team, Sony Music Entertainment, Summer 2023.