After the “Megadeals” of 2025, 2026 is about “De-conglomeration.” Leaders discuss portfolio optimization and the return of the “Buy and Build” strategy.

Exploring the fast-evolving licensing market for AI training data, particularly how rights holders from music labels to publishers and production companies are starting to participate, and emerging methods to enable fair remuneration, including attribution.

India is now the world’s third-fastest-growing gaming and music market. We look at the 8.8% CAGR driving the region toward a $50B entertainment economy by year-end.

As interest rates stabilize and billion-dollar catalogs become high-yield assets, we discuss the shift from speculative buying to data-driven portfolio management.

As AI begins to take shape across the music business, the most compelling opportunities are not about replacing people, but empowering them. This session explores how AI is unlocking new creative opportunities, revenue streams, and studio workflows – expanding what is possible across the music ecosystem, with human creativity at the center.

Dig into the data behind short-to-long conversion, what viewership numbers actually say about Gen Z / Gen Alpha behavior, and how the scroll-to-couch journey is being engineered (or not) across the industry.

Data-Driven <A&R> and Talent Discovery and Identification. How data science is being used to identify breakout talent (musicians, actors, screenwriters) earlier than ever before, using metrics from social media, UGC platforms, and micro-communities. The role of data in negotiating talent deals, including setting benchmarks for success and calculating residual value in non-traditional distribution windows.