Media and Entertainment

When discussing media and content applications, we speak of a collection of industries in which visual data is being constantly generated, shared and reviewed among the masses.

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When discussing media and content applications, we speak of a collection of industries in which visual data is being constantly generated, shared and reviewed among the masses. Whether it is social networks, sports broadcasting or E-commerce applications – all have audiences that acquire high volumes of targeted data in near real-time, meaning models must perform well at scale and in diverse environments.

Indika AI provides Content Moderation, Image and Video Annotation Services and is capable of large quality data. 

Better Recommendation Engines

Recommendation engines have been widely used in the media industry to predict what kind of information or content customers would be interested in. Companies can combine structured and unstructured data and machine learning methods to match people and content, thus improving the relevance of content recommendations and efficiency of content distribution.

Hyper Targeted Advertisement

Media and entertainment companies can predict churn rates more accurately, place advertising at the right time and in the right place, and have more appropriate, personalized offers to increase conversion.

Real Time Predictive Modelling

Predictive modelling in particular will aid media and entertainment companies not just by allowing them to react to consumers in real time, but also to anticipate their behaviour, influencing long-term investments