Biplab is a software architect with long experience of designing, developing large scale software in the fields of Ad-Tech, OTT video, programmatic, audience management systems, location services, wireless and telecommunication systems. Last six years Biplab had been busy in applying Big Data technologies, and real-time distributed systems to solve various problems in the Advertising ecosystem, and OTT video platforms. Biplab is passionate about startups. He lives in Milpitas with his wife and son. In his free time he likes to paint, and photograph the mysteries fo the night sky.
May 26, 2021 04:25 PM PT
Play Head Time(PHT) is the pointer representing exact point in a video's play-span that is currently being watched by the user. We are all familiar with Play head pointer being displayed as a slider bar on the video screen. Play head time can apply to regular media content, as well to Ads. It is usually displayed on the slider bar of a running video. However, when measured and analyzed at large scale, with accuracy, in near-real-time, across players and publisher environments - it enables us to solve some very interesting and practical business problems.
At Conviva, with its sensor software present on billions of devices on the planet, across hundreds of publishers/players - we are able to analyze video PHT at scale to solve the above use-cases, and more. There are many challenges to collecting and analyzing Play head time.
In this talk we will present how in Conviva we collect PHT data from billions of devices across players and publishers. How in Conviva we use Databricks technology stack to analyze, sanitize, store and process Play Head Time from billions of devices in real-time. How in Conviva we use large volume of processed Play Head Time data to solve real-world business problems.