Amagi, a leading provider of cloud-based SaaS technology for broadcast and streaming TV, has launched Amagi Smart Scheduler, an advanced AI-powered scheduling solution designed to automate and optimize content programming. Built on Argoid’s AI Scheduling platform, this new tool empowers content teams to streamline operations, enhance viewer engagement, and unlock greater monetization potential.
Designed with modern media workflows in mind, Smart Scheduler uses machine learning (ML) and intelligent automation to simplify the complexities of traditional content scheduling, enabling broadcasters and streamers to program multiple channels more efficiently without compromising editorial oversight.
“The future of media programming lies in intelligent automation,” said Srinivasan KA, Co-founder & Chief Revenue Officer, Amagi. “With Amagi Smart Scheduler, we offer programmers and content owners a solution that reduces manual workload and enhances audience engagement and revenue potential.”
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Transforming Content Programming with AI
Traditional programming often demands extensive manual input, requiring teams to analyze viewing patterns, content metadata, and audience trends to craft effective schedules. Amagi Smart Scheduler redefines this process by harnessing historical data and AI-driven insights to automate scheduling at scale—freeing up valuable time for content teams to focus on strategy and creativity.
The platform offers two dynamic scheduling modes:
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Fully Automated Mode: With just one click, the platform generates optimized schedules using ML models trained on content affinity, historical viewership behavior, and trend analysis.
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Rules-Based Automation Mode: Enables content teams to apply custom scheduling parameters and editorial preferences while still benefiting from AI-powered recommendations.
Both modes are designed to maintain editorial integrity, giving teams the flexibility to review, adjust, and approve schedules before finalization.
Smarter Scheduling for Smarter Engagement
At its core, Amagi Smart Scheduler leverages a deep blend of data inputs—ranging from metadata and content performance to social signals and audience engagement metrics—to craft intelligent, viewer-centric programming strategies. The result: more personalized, impactful content delivery that drives better engagement and increases ad revenue.