ThinkMediaAI
ThinkAnalytics
Category Artificial intelligence AI - Machine learning ML
ThinkMediaAI is the first product in the industry to use AI to address viewer engagement, content metadata enrichment, and targeted advertising in a single, modular platform.
Designed to meet the needs of all video service providers (PayTV and OTT), including those with FAST, CTV, and streaming services, ThinkMediaAI drives ROI and introduces new monetisation opportunities by addressing operators’ challenges from content discovery and personalisation to search, voice, content curation, A/B testing, targeted advertising and Agentic AI powered metadata enrichment.
It gives customers new powers to monetise content investments, boosts advertising effectiveness with enhanced audience targeting, and maximise audience engagement to reduce churn. This helps increase revenues while operating more efficiently.
ThinkMediaAI builds on ThinkAnalytics’ 20+ years of AI innovation for content discovery, including NLP, Agentic AI/Generative AI, and predictive analytics. It uses first-party data, enriched metadata, and behavioural insights from 500 million viewers across 47 languages and 8 billion daily recommendations. ThinkMediaAI has already been deployed to customers worldwide.
How ThinkMediaAI solves operators’ challenges:
• Monetisation: AI-powered contextual and addressable advertising improve advertising relevance and effectiveness. Combining this with automated content bundling for the first time unlocks new revenue streams.
• First-party data: AI enriched metadata and audience segmentation delivers privacy-compliant ad and content targeting without needing third-party cookies.
• Boosting engagement: using AI for personalisation, A/B testing, and predictive analytics make it easier for users to find content
• Streamlining operations: automation reduces the need for multiple vendors, simplifies workflows and cuts costs.
At its core, ThinkMediaAI uses deep learning algorithms to provide highly relevant content recommendations that improve viewer engagement and retention. It enhances search, voice interaction, and automates editorial curation for an intuitive user experience. At the same time, A/B testing allows operators to refine their strategies, while metadata enrichment ensures deeper content understanding and contextual relevance. Using AI to automate complex media workflows allows customers to efficiently scale their operations while reducing costs.
