Keras

Media United States of America

The next wave of disruption: Emerging market media use of artificial intelligence and machine learning Cook, Clare, et al. The Next Wave of Disruption: Emerging Market Media Use of Artificial Intelligence and Machine Learning. Edited by Robert Shaw, International Media Support, 2021. Available at: https://www.mediasupport.org/wp-content/uploads/2021/07/AI-ML-in-Emerging-Markets-vFinal4.pdf. (Accessed March 2025).

Keras is an intuitive deep learning framework that supports rapid model development for media applications like content recommendation, automation, and analytics. It provides easy integration with TensorFlow and other ML tools, making it suitable for publishers and media companies looking to deploy personalized models at scale. Keras simplifies building, training, and deploying media-centric AI models, enabling innovation in content distribution, audience targeting, and engagement.

Distribution and Audience Engagement

AI-powered content personalization (e.g. personalized trailers, thumbnails, hyper-personalized content) Optimized distribution and scheduling, such as automated A/B testing Audience analytics and audience sentiment analysis Interaction with audiences, such as comment moderation on media’s online platforms, generating standard replies, processing feedback AI-powered tools that enable user/audience empowerment (for instance to understand why they see such content, to decide on the algo, to enable flagging of problematic content).

#build Build AI models for media applications like content recommendation and audience personalization.

#deploy Deploy machine learning models efficiently across platforms to optimize media workflows and engagement.

#train Train AI models for media-specific tasks, such as content curation and targeted advertising.

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Developed by: Academia, Civil Society
Deployment Type: Cloud-Based AI Service & API
Community Moderation: Does not require community manager
Difficulty Level: Requires developer
License: Open-source

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