Media, telco and entertainment industries have seen a dramatic transformation in the last decade due to digitalization. Now AI is transforming the sector even further. The benefits of AI are even more exciting in comparison with other industries due to the availability of massive amounts of data. AI can increase revenue and reduce costs by creating individualized content, driving decision-making processes and understanding customer behavior.


Next, we list our solutions for Media, Telco and Entertainment enterprises.


  • Reduce labor costs.
  • Increase revenue.
  • Improved customer service.

Customer Segmentation

An audience can be segmentated in a variety of ways: based on shopping behaviors, spending patterns, customer response towards an offering, life style and others. AI can be used to automatize this process and help marketers with their decision-making process. It can also analyze huge amounts of data and find patterns that would be difficult to find by a person.


  • Improve brand perception.
  • Improve customer understanding.
  • Enhance product quality.

Sentiment Analysis

Sentiment analysis is a machine learning technique that is used to classify a piece of text into positive, negative and, in some cases, neutral. This is extensively used by brands to understand the perception their customers have on their products. Sentiment analysis can influence marketing campaigns, generate leads, plan product development or improve customer service.


  • Reduce labor costs.
  • Enhance product quality.

Content moderation

Keeping the internet safe is a high priority, specially for the younger ones. With more and more content being created every day, it is difficult and sometimes even impossible to manually moderate and remove harmful or illegal content. AI can identify dangerous patterns in text and automatically label it as harmful.


  • Better customer understanding.
  • Improve revenue.
  • Reduce customer churn.

Churn Prediction

It is more cost efficient to retain old customers than to acquire new ones, between 5 to 25 times cheaper. Churn prediction is essential for customer retention and for predicting in advance customers that are at risk of leaving. Machine learning and deep learning algorithms can accurately segment those customers that are about to churn and trigger retention strategies accordingly.


  • Increase revenue between 10%-35%.
  • Improve customer experience.
  • Increase upselling opportunities.

Personalized Recommendations

A recommendation system uses machine learning to understand the customers preferences with the objective of recommending them products. There are algorithms that can provide personalized recommendations for ads in the media industry, movies for the entertainment industry or phone subscriptions for the telco industries.

Do you have a use case for your industry that is not listed here? Send us an email to