Caffeinated Data Goes to Hollywood

Presented by

Amit Sikdar (Fox), Attila Veres (Disney)

About this talk

Big players in the media & entertainment industry are constantly asked to face new challenges in today’s highly saturated digital market. As the increase in media & entertainment demand skyrockets, so has the amount of big data on consumers & media consumption trends. In this panel, we'll discuss how modern applications of data science in the media industry can help media companies distinguish consumer segments, decipher audience insights, & strategize to execute accordingly. We’ll touch base on the impact that data science has affected on the media industry as a whole & pick the expert brains of our panelists on recommendations on how to break into the media industry as a novice data scientist. Attila is a data science leader at Disney’s DTC & International with over a decade of experience leveraging data to drive business value. His team is specialized in building high value data science products to drive personalization & enhance the guest experience. Before joining Disney, Attila worked for Cox Automotive, supporting the Kelley Blue Book & brands where he led efforts to personalize & optimize the consumer car buying experience. Before that, he consulted for several large insurers in NY to improve their market share, services, & risk identification using big data analytics & advanced statistical modeling. He also created a new regulatory metric to measure consistent wired broadband speed for the FCC to keep service providers accountable to their customers. Amit is a data-passionate leader with experience in growing and leading cross-functional analytical teams focused on analytics implementation, data management, experimentation, and delivering data-driven solutions to drive key metrics of relevance for an organization. Disclaimer: All views, thoughts, & opinions expressed in the webinar belong solely to the panelists, & not to the panelists’ employer, organization, committee, other group or individual.

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