Adjusting Metrics Across the Business
Kobi Abayomi
Episode notes
We were recently joined by Kobi Abayomi, Sr VP of Data Science & Analytics at Warner Music Group.
Here are a few snippets from our conversation:
1:19 – Start of session
3:42 – Example of using data science in the music industry
6:32 – Data science compared to data analysis: going from analysis to research
9:35 – Data science and data engineering, what comes first?
11:42 – How did you become a Bayesian shop?
17:05 – Productionalized visualizations being outside of data science
18:45 – How do you explain quantitative concepts to others across the business
26:12 – When the metrics used by the business aren’t what they should be
30:39 – How algorithms will (or won’t) impact music
39:59 – Gathering data from the business
41:33 – Becoming a leader, your team is a gift
A few resources mentioned by Kobi:
Illustration of every genre of music that came up: everynoise.com
I like Qtip’s radio station on AppleMusic I try to listen to every interview every of Donald Knuth
Featured in this episode
I love connecting people across the data science community to share what they're accomplishing with data and help others do the same through community discussions, industry meetups, and more.
20 years of experience in researching, publishing, consulting, and leading in-house data science teams.
