Chief Analytics & AI Officer, Ingrooves Music Group
Dr. SK Sharma is the Chief Analytics & AI Officer at Ingrooves Music Group (a UMG company), where he leads a diverse global team of AI researchers, Ph.D. data scientists, and content/corporate strategists to develop innovative products and services around listener engagement, audience growth, and marketing analytics/technology. As a senior AI and digital strategy executive with over 15 years of CXO leadership and investment management experience at various VC, strategy consulting, and intellectual property firms, SK has a track record of conceptualizing and implementing major audience, consumer, and prescriptive analytics initiatives at Fortune 500, FTSE 100, and PE portfolio companies. SK is also a serial entrepreneur with four $100M+ exits for companies he either co-founded or where he served as an operational partner. Previous professional experience includes Goldman Sachs, Lehman Brothers, OC&C Strategy, PLI, and Mitchell Madison Group.
SK holds a Ph.D. from Caltech (earned at the age of 23), is the lead inventor on multiple AI patents, a co-author on 17+ scientific research publications, and was recently recognized by Billboard in their annual 40 under 40 issue as a trailblazing young music executive. He is an Entrepreneur in Residence at UCSD and is based in coastal San Diego, CA.
Ahead of the Curve: Trendspotting & Data Analysis in Music Discovery
10/12/23, 2:00 PM
Overnight sensations may seem like they come out of nowhere but they start with underground whispers that build to murmurs and then start to spread. Audience listening has never been more crucial and powerful for identifying when a trend may emerge and capitalizing on it fast. This panel of experts has developed tools and analyzes data every day to track user generated content and listener behaviors to predict when a viral hit is on the rise. With that crucial information, artists globally can build on that natural momentum to expand, reach the right fans in the right moment and break out of obscurity. This discussion is for the data lovers – we’ll get in to the nitty gritty on what and how to analyze and how to leverage that data.