Hi, I am Daniil, Head of Data Science at Tango, the leading live streaming platform worldwide.
Data Science is responsible for a plethora of various fields across the company, from conversion funnel optimization and revenue prediction to moderation and fraud prevention. However, today I’d like to give you a sneak peek into the other one, namely Recommender Engine.
My name is Igor Gorbenko. I am the Team Lead and Architect of the ML-engineering team in Tango. Today, I will tell you how and why we’ve implemented the Machine Learning Operations process in Tango, what challenges we have addressed, and our results so far.
How and Why One Should Create Their Own Streaming Platform
Hello everyone! My name is Yuri, I’m a video team engineer here at Tango Live - one of the top livestreaming platforms around the world! Not so long ago we came to a sudden realization that modern technological solutions to video livestreaming, sadly, were not meeting our business objectives. It became clear we needed to build our own video platform. Today we’re going to go over how we’ve started this groundbreaking process, and the progress we’ve made in revolutionizing live video streaming!
How Does A Massive Streaming Service Moderate Its Content?
The popularity of streaming services is growing around the world. While this is fantastic for companies and content creators, developers are challenged to ensure high load, improve fail-safety, streaming quality, app user-friendliness, and, most importantly, moderation of the incoming content so that the environment is safe and comfortable for streamers and users.