Anubhav Shrivastava

Head of Data Sciences at Voot Viacom18

Anubhav currently manages all product data sciences at Voot, India’s second largest publisher (Viacom18’s) video streaming online platform, and has been spearheading the movement on how billions of data points collected everyday are collectively rewriting the technological rule-books of streaming business and shaping a machine learning driven future for delivery, consumption and monetization of entertainment content. Prior to this, Anubhav worked across industries and product functions for over a decade, leveraging the know-how of data driven models and decisioning in solving real-world problems. He holds a bachelors degree in engineering from IIT Kanpur.


Day 1 - Tech Talks 28 May

Portrait of computer vision as a wise old man

Machine learning was anyways expanding its footprint in our daily lives. The recent global pandemic has forced us to pause and rethink. And now we are in the urgent need to press the pedal of innovation, in every walk to life. Arguably, at the forefront of this endeavor has to be our ability to expand the horizons of how we think about data. Never before has ML been as important in history as today and never before has an ask been of such unprecedented scale and ways. Be it battle for living room entertainment, mitigating risks in business and supply chain models, accessing real-time data interventions, expediting data intensive medical research or even distancing ourselves from fellow beings, it’ll be the eye catcher data science that we’ll look upto to serve a quick recipe.

Narrowing the purview of the talk to computer vision, this talk, will while focusing on the examples of consumer video entertainment sector will also delve upon everything that’s right there in the playbook of video intelligence and its far reaching empowerment capabilities. Using a concise framework, we will analyze the world of ML computer vision models and talk about the wise, the ugly and the extreme ones, their ability to tackle business challenges and use case economics.