 He is the founder and CEO of the mobile ad tech startup Silver Push and he will be telling us the new rules of maximizing video content monetization. Please help me welcome with a huge round of applause Mr. Hitesh Chawla. Hi guys, I am Hitesh co-founder and CEO of Silver Push. So, just to introduce Silver Push first, I'll start with brief, very quick introduction of the company. We started four, five years back in India. We are based in Gurgaon, now headquartered in Singapore, about 100 plus people based in Gurgaon and sales team spread across these different countries. We started when we launched India's first DSP when programmatic was still a very nascent concept at that time. And since then we've created products which are very innovation-led. Right now we are present in 12 countries very strong in Southeast Asia and Africa and now Middle East. We work with clients across different industries, all the top agencies and backed by some of the best investors, not just from India but international as well. Now, coming to the topic of today, contextual advertising for videos. So, we all know now users these days have become very conscious about their data being used, the way it's being used or the way it's being worried about being misused. And Facebook was under fire very recently because of the Cambridge Analytica scandal. Within a single day their market cap went down by 50 billion dollars with that scam. And they were the ones facing all the backlash from the consumers and also from the advertisers. Post that incident, 84% of people have actually become concerned about their data being misused. They have changed their behavior using the way they use internet, they decreased their social media usage. Now, this actually puts personalized advertising where a lot of user data is used. And the whole future of personalized advertising is unclear because of that. People are very angry about the data being misused and technologies like ad blocker making it hard to track via cookies, then policies like GDPR making it hard to track user data. So, in fact, the only solution or the mix, we're actually going back 20 years back or 25 years back when contextual advertising was popular. People are again talking about contextual advertising where earlier advertisers used context of blogs, context of content to advertise. For example, someone actually browsing a car reviews website might see ads for different autos. Now, all the big ad tech publications, international publications are predicting that contextual advertising is back and will be again the next big thing. So, since we've established that contextual advertising is important in the current context, but let's just see how consumption of content has changed over the years, over the years since contextual advertising came into force. Let's see just India first. India has right now 500 million internet users, which is projected to grow up to 750 million in the next two years. And this is where digital video is going. In last one year, penetration of video has increased from 40% to 54%. And when it comes to content, video is the most consumed content after images and text. And the whole concept of contextual advertising depended on text earlier. So, when people are spending time on videos and images, then how do we make contextual advertising? And since we're talking about videos, these are different ad formats which are popular in videos. And these are the ad formats people actually see. Ads which are pre-roll, mid-roll or post-roll, these are the most popular ads. Then overlay ads, companion ads. But the problem with the overlay ads, for example, is the lack of relevance. Just another day I was watching this cat video with my son, and this is the ad we saw, which is totally irrelevant from what they were watching. And this just creates frustration not just for the advertiser, but also for the users. So then we come to how to detect the context for videos and actually make it relevant for users. And for advertisers, of course. So this is where our product mirrors comes in. Quickly we'll just run the demo. Sagar, could you please play the video? Eclipsing past the current number for static pictures and text. Gradually, the WWW nowadays has started to mean worldwide webisode, further facilitated by the rapidly growing number of free content streaming providers. These free video content platforms always rely on advertisement for revenues, but advertisers have only eight seconds to get noticed, which is helped by the relevance of the in-video ads in relation to the video content. The user is interested only in content and tries to overlook the random placement of ads accompanying the video content. Thus, both the advertisers and streaming platforms are plagued by the problem of enhancing users' experience when the in-video ads are displayed. Meet Mirrors by Silverpush, an artificial intelligence-driven context detection technology to identify brand logos, faces, emotions, and objects. Mirrors uses artificial intelligence coupled with computer vision to track the context in-video content and accordingly serve in-video ads in line with the advertiser's core communication while enhancing user experience. For example, when Ronaldo scores a goal during a soccer game, our technology detects his face and the brands being endorsed by him can be present in the video ads. Now imagine content showing an interesting model of Vans' shoes. Mirrors identifies the brand logo and helps in positioning of an actionable ad, which could facilitate its purchase. Thus, Mirrors is bound to play a huge role in increasing transactions for e-commerce through these actionable in-video ads. Mirrors can also identify objects in the content and help in deployment of ads related to these objects, point being, with Mirrors, these contextual possibilities are endless. Random placement of ads in videos is not making the expected impact for the advertisers and since video is the next universal content format, the advertisement industry is facing a huge problem. After years of research and overcoming multiple technological barriers, we present Mirrors to tackle this $170-plus billion problem with artificial intelligence. Mirrors is the world's only contextual advertising platform for videos, backed with multiple patents. With people taking it to the streets for safeguarding their privacy and rights, Mirrors will ensure an ethical advertising solution. Imagine no such processions. You may say we are dreamers, but with 1,000-plus brands in 12 countries, we are not the only one. Yes, that was a quick introduction of our product. Now, just to reiterate what the product does, it actually captures whatever is there in the video in real time, everything from whether it's face, whether it's logos, whether it's objects in the screen, whether it's emotions for the actors, all of different things in the videos which are then used in real time to target with ads. Now, for the advertisers, these are the benefits. The ads are viewable. It's in-screen. It's where the actual user's attention is. They're relevant because of the context we're detecting, and the ad formats that we create are very engaging. And for publishers, it means additional ad revenue. They are still running their other formats of ads, like post-roll, mid-roll, and they get to preserve the user experience by not showing random ads. So this is what Miraz is. Basically, it's our ad tech technology combined with our detection technology, and using both of those things combined, we are actually targeting a very huge opportunity for content publishers and the whole video content industry. Thank you. Any questions? Sorry, there's no voice on the mic. I must say very impressive. Thank you. Great tech. Just wanted to understand, do we presume that the product that is shown in the show is exactly what the consumer would be keen to buy? I didn't understand that product. So you're spotting which brand or which product. So it's object identification and text reading. Right. So you read the logo and the product. Logo, faces, even face, for example, if there's a particular brand ambassador of a brand, they can target the ads with that. So let's say I'm a consumer, you know, and I'm watching a show, and that show has been monetized well through ads being, you know, brands being placed in the show. I've gone to watch the show, not necessarily the brands in the show. So you would again hit me with the same brands. As in it's like for the brands, there's an opportunity. They can create different moments in that show. It's not particularly important that that particular show where there are already ads, but it can be anything. It can not just be brands, it can be faces. It can be emotions. It can be the whole context of that particular screen. Okay. Thank you. It could be a party going on and we are showing a party ad. So it's not particularly brands there and brands again there. Thanks. Hi. I'm Nihar and I'm from Miriads. And good to know that you're also using AI for your software and the tech that you have. The only one thing that we particularly take care of is brand safety. When we do contextual advertising, which is actually something which is streamed into the content, is we totally get content that is in any way negative in nature to ensure that brands, when they do feature into the content, it is the best environment for them to be in. So what is it that you guys do to take care of brand safety? So similar thing, for example, when we work with the brand, of course we have to get their brief on what's the negative, maybe brands that they don't want to target or particular environment they don't want to target. So the negative list comes from them. And based on that, basically we create that walled garden. We don't run any of those brands ads in those particular context. So that's taken care of. Yes, absolutely. Thanks. Thank you. Okay. Fantastic. Mr. Chow, please stay with me. Before I let you go, please stay with me. I'd like to invite Mr. Karan Kumar Gupta, Managing Director of Zurgha Digital Solutions to kindly present a token of our appreciation to Mr. Chowla. Ladies and gentlemen, can we have a round of applause for Mr. Chowla? Thank you very much. Thank you, gentlemen.