As we explore the role of AI in media innovation, we hosted a discussion with Baskar, Co-founder & CEO at Amagi, and Srividhya Srinivasan, Co-founder and Chief Customer Success Officer at Amagi, who were joined by Argoid AI’s Co-founder Gokul to discuss how Amagi’s acquisition of Argoid syncs with Amagi’s vision for the future of media.
Read on to learn more.
How does Argoid's technology sync with Amagi's vision for the future of media?
Gokul (Co-founder, Argoid) explains how Argoid started with the mission to transform the retail industry, building cutting-edge AI systems for Flipkart. With Argoid, the idea is to optimize content discovery for viewers, reducing viewer frustration. Now integrated with Amagi, this capability expands into broader AI-driven solutions across the media lifecycle, from content production to distribution.
How does Argoid's acquisition look from a customer success innovation perspective?
Vidhya explains how the media industry often relies on manual workflows, which technology can alleviate.
Argoid's AI products, such as Natural Language Processing (NLP) interfaces and metadata enrichment for its customers, align perfectly with Amagi's ecosystem. This integration allows Amagi to automate tasks like content scheduling and personalization.
READ: Amagi acquires Argoid AI
What were you building at Argoid, and how will it integrate with Amagi's infrastructure?
“Today, channel programming is an art,” says Gokul. Content scheduling mostly depends on a programmer’s creativity and domain expertise. As the catalog grows, it becomes challenging for companies to track and creatively use the large volume of titles at the right time. Since this process involves human bias, it can often feel random, and not being able to make data-driven decisions for scheduling can lead to a reduction in viewership. Using Amagi PLANNER coupled with Argoid's capabilities, we've automated 85% of the scheduling process, enabling teams to focus on their core business rather than manual, randomized scheduling.
READ: How to maximize monetization and scale streaming revenue
All media companies run the risk of not being able to scale their teams to meet the need for channel scaling. For example, launching 10 channels might require hiring three new content programmers, which isn’t always feasible. Argoid helps address these issues by optimizing content scheduling through data. By leveraging user viewership data, metadata, and social signals and integrating it with Amagi's PLANNER tool — which already optimizes scheduling — Smart Scheduler (formerly Argoid Co-Planner) automates and optimizes 85% of the scheduling process. This allows content programmers to focus on their core business rather than guesswork, while also boosting viewership through data-driven scheduling.
READ: How to optimize linear channel scheduling with automation and AI
Talking specifically about Zero slate innovation, what does the future hold for AI-driven personalization in media?
Many of Amagi's customers are already using Zero slate and experiencing its transformative impact, with some even adopting the Smart Scheduler, formerly Argoid Co-Planner to enable AI-driven scheduling.
"The Smart Scheduler takes inputs like viewership data, content metadata, and prior historical scheduling patterns to generate new schedules every day,” says Vidhya. By combining these capabilities with Zero slate, we're laying the groundwork for personalizing ad slates and content at an individual level.
Want to learn more?
- Talk to us to transform programming with Amagi Smart Scheduler
- Read our latest Global FAST Report here
- View our full webinar series here
German
French
Spanish
Korean
