What if AI truly understands your listening soul? This talk dives into the GenAI revolution since 2023 - from multimodal breakthroughs to agentic AI's autonomous future - and the LLM foundations powering it all.

Next, we explore how these capabilities translate into real-world, industry-scale use case from a major audio streaming platform. By introducing a novel semantic tokenization that encodes relationships between content and users, researchers enable LLMs to reason directly over music catalogs, user intent, and personalization signals. This unlocks explainable recommendation, richer semantic search, and more adaptive discovery experiences, built at production scale.

The session concludes with a forward-looking view of how generative and agentic AI will power the next generation of interactive, personalized, and creative entertainment experiences.

Speaker Biography:

Kingsley Di is the Head of Applied AI/ML at SiriusXM & Pandora, and a veteran machine learning engineer. In his current role, he is leading SiriusXM's end-to-end AI strategy and overseeing large-scale model development, product innovation and global enterprise deployment. Prior to joining SiriusXM, Kingsley led an NLP research team at S&P Global where he helped modernize the credit ratings value chain through intelligent automation. Earlier in his career, he joined American Express as a Senior Research Scientist after earning his Ph.D. from Northwestern University. His research was focused on distributed machine learning and deep learning with concentration in transportation and sports entertainment.

Aside from AI and ML models, Kingsley is an active photographer and has a passion for documenting and reflecting AI's evolving impact on civilization through his photos.