John Carnahan

Chief Data Officer, Executive Vice President, Data Science and Engineering
Ticketmaster

John Carnahan is the Executive Vice President at Ticketmaster responsible for overseeing all aspects of data science and strategy. With more than 25 years experience in software development, big/fast data computation and data science, John has held engineering and leadership positions at Overture, Yahoo, Fox Interactive Media. He joined Ticketmaster from the Rubicon Project where he was the CTO building innovative solutions in the area of computational advertising. He joined Ticketmaster to bring the power and legacy of advertising technology into the live event industry.

Since joining Ticketmaster he has built cohesive and independent teams building software in areas such as abuse prevention, distributed commerce, personalization and marketing. Mr. Carnahan has been a founding member and key contributor to many open source projects. Mr. Carnahan has been a researcher and author in a wide range of disciplines including machine learning, distributed computing and quantitative genetics for over 20 years.

Check out the incredible speaker line-up to see who will be joining John.

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Innovation, Data Quality and Compliance

Sunday, June 12th, 2016

08:20 Guest Speaker | Leveraging Data Science to Remediate Nagging Issues and Improve Customer Experience

Live events generate huge excitement for passionate fans. From an NBA Finals Game to the latest Broadway show to multi-day music festivals, chances are everyone has logged into Ticketmaster to buy tickets for a must-attend event. During large event sales, Ticketmaster becomes one of the top 3 largest eCommerce websites globally at the point of sale, which creates huge challenges from a data perspective. John Carnahan, Chief Data Officer for Ticketmaster has been analyzing user and sales data to build a platform of data as an asset to support the business. John will shed light on two high priority areas for the business and how his team is using machine learning and data science to add value to both the business and customer experience.
Find out:
• Behind the scenes insights on ticket sale abuse prevention and how to use data to make predictions on behavior to respond accordingly
• How to pivot to solve a known data challenge from the customer perspective to better serve fans
• Ways to identify new opportunities to add value to the business and customers through data activities