With the exponential growth in the use of visual content on social media and user-generated data in general, comes the opportunity to analyze images/videos and uncover a world of business opportunities across a wide spectrum of domains including media, marketing, retail & e-commerce. With the advent of Deep Learning, Multimodal Solutions and Generative-AI, the possibilities of visual Media Analytics are immense!

In this session, we will take a look at the core components of Media Analytics engine - brand analytics and sports analytics - how it delivers key impactful insights in real-time with superior performance and its intriguing business use cases. Given access to abundant raw visual data, how can you calculate ROI for sponsorship in sporting events? How do you assess performance of a sportsperson based on various parameters such as agility displayed in a game? Can one detect anomalies in images without the help of labeled data? How do you summarize a sports video meaningfully with zero manual intervention? Enabled by state-of-the-art algorithms, one can even gain insights in real-time with regard to Brand Identification, Brand Visibility and Competitor Analysis, among other aspects. We answer many questions and cover riveting aspects of multi-modal Deep Learning unlocking hidden value in visual data and transforming businesses.