How Viacom Revolutionized Audience Experiences with Real-Time Analytics at Scale

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Presented by

Mark Cohen, VP of Data Platform Engineering at Viacom; Chris Burns, Machine Learning Solutions Architect at AWS

About this talk

With 170+ global networks, Viacom is focused on providing an amazing audience experience to its billions of viewers around the world. Core to this strategy is leveraging big data and advanced analytics to offer the right content to the right audience and deliver it flawlessly on any device. To make this possible, Viacom set-out to build a real-time, scalable data analytics platform on Apache Spark™. Join this webinar to learn how Viacom overcame the complexities of Spark with Databricks and AWS to build an end-to-end scalable self-service insights platform that delivers on a wide range of analytics use cases. This webinar will cover: - The challenges Viacom faced building a scalable, real-time data insights and AI platform - How they overcame these challenges with Spark, AWS and Databricks - How they leverage a unified analytics platform for data pipelines, analytics and machine learning to reduce video start delays and improve content delivery with stream analytics at scale - What it takes to create a data driven culture with self-service analytics that meet the needs of business users, data analysts and data scientists
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