Amagi launches AI-powered scheduler for content programming

Amagi, a SaaS solutions provider for broadcast and streaming TV, has launched Amagi Smart Scheduler, an AI-powered content scheduling solution designed to automate and optimise channel programming. By leveraging machine learning (ML) and automation, Smart Scheduler seeks to help content teams streamline scheduling workflows, improve operational efficiency, and drive higher audience engagement and monetisation. The product is built on Argoid’s AI scheduling platform.

With AI-driven automation, Amagi Smart Scheduler aims to ensure that the right content reaches the right audience at the right time, while minimising human effort, but without compromising on editorial control.

Traditional content scheduling is a time-intensive manual process requiring content teams to analyse audience behaviour, trends, and metadata to optimise programming. Amagi Smart Scheduler automates these processes, helping media companies scale multi-channel programming while improving viewership and maximising ad revenue.

Built on ML-based automation specific to content scheduling, Amagi Smart Scheduler uses historical content performance, metadata, viewership trends, and social and engagement signals to optimise schedules, providing a data-driven, intelligent approach to content programming.

The solution features two scheduling modes. The fully automated mode generates an optimised schedule with a single click using ML models trained on historical viewership data, content affinity, and audience trends. The rules-based automation mode allows content teams to define custom rules and scheduling preferences, besides viewership and other key metrics. In both cases, editorial programming is preserved, ensuring content teams can review, refine, and fine-tune schedules as needed, according to a company press release.

“The future of media programming lies in intelligent automation. With Amagi Smart Scheduler, we offer programmers and content owners a solution that reduces manual workload and enhances audience engagement and revenue potential,” said Srinivasan KA, co-founder and chief revenue officer, Amagi.

Amagi opened its new network operations centre (NOC) in Princeton, USA just a week ago, and is now planning to showcase its latest cloud-based broadcast media targeted solutions at NAB 2025. The company acquired Argoid AI last year. One of the first products built on Argoid’s tech stack, Smart Scheduler is now generally available for broadcast and streaming TV companies for use.