The Future of Video Analytics is in Artificial Intelligence and Big Data Insights- Subrat Kar, Vidooly
Agency Reporter got an opportunity to interact with Subrat Kar, Co-Founder & CEO of Vidooly. It is a leading video intelligence product company. Previously, he has worked with companies like Jabong & IndiaMART.
1. “Views” is only the starting point of the whole evaluation. How true is this statement according to you?
In the age of Adwords, views are just a metric. One can advertise a video to the fullest and get decent viewership. But, here, engagement is what matters. Just compare views to followers on Twitter. Everyone can buy followers on twitter. But, it’s the twitter engagement matters. So, yes, “Views” is only the starting point of the whole evaluation as we are still in the middle of this video content surge.
Read Vidooly Raises Rs.15 Cr from Alibaba and Times Internet in Series C Funding
2. Videos today are supplanting nearly all other forms of social media marketing tools. Was this predicted? What can we expect in the future?
The video format is just like a snack. The audience eats it, and moves on but likes to repeat the habit. So, in that way, content is versatile. Other social media tools have to adapt video content, and they will do in the future. Looking at
3. What were the most defining trends of 2018? Have you observed any common traits/ patterns that you predict will follow in 2019?
Regional content is growing. More number of original content in OTTs, the rise of UGC content & short format videos across all the platforms including YouTube, Facebook, Tiktok, Snapchat, etc will grow more in 2019. The effect of viral videos plays a significant factor in the aforementioned social media platforms.
4. What is the future of video analytics? What deeper levels can you achieve? How have the needs of brands changed over the years?
The future of video analytics is in artificial intelligence and big data insights. In terms of brands, they are more concerned about the patterns and trends on which the customer buying journey goes through. Understanding how various aspects of this buying behavior works will be the key to fulfill the needs of brands over the years.
5. Tell us, since your tool can access only publicly available data of platform pages, how do you ensure data with a deeper level of understanding about audience and consumption behavior of the page? Do you have a tie-up with platform owners like YouTube and Facebook to ensure the accuracy of data? If yes, then does it breach a users’ privacy in any way?
Through AI and machine learning models, we can understand the audience and consumption behavior. Also, we do not save user data in any way on our ecosystem. We do it on the basis of profile signatures.
