The media industry is grappling with how to reinvent linear TV in light of the recent surge in FAST channels supply and consumer adoption. FAST has opened up new opportunities for content packaging and scheduling, particularly long-tail assets, into finely curated thematic channels. This approach is designed to capture and engage niche audiences, to then monetize them through programmatic advertising.
However, the economics of FAST require that operators achieve fundamentally lower operational costs than those of TV broadcasting, while delivering users the same high-quality user experience. A more efficient approach to creating and delivering FAST channels is required.
In this respect, personalization is key. It not only enhances targeted and contextual advertising; it also improves channel discoverability and content programming, increasing the audience’s revenue potential, while enriching the viewer’s experience.
We hear it consistently from industry stakeholders, customers, and partners: the same powerful AI-assisted editorial tools and content recommendation algorithms we use in the VOD domain would be of tremendous value if they could be used to curate programming and streamline the process of assembling thematic channels. These capabilities will facilitate the repurposing of existing on-demand catalogs or TV network archives. For this reason, two years ago, we launched our Personalized Linear Channels solution.
ContentWise UX Engine provides operators with superior capabilities for linear TV and FAST discoverability. Our AI-powered engine recommends channels to enable a dynamic personalized EPG experience. It suggests individual on-air or upcoming programs based on user habits and preferences. It takes into account programming time windows (tonight, tomorrow, this week, etc.) and… more!
However, It was still missing an important component to fully unlock FAST channels’ distribution, personalization, and data-driven curation at scale. Our machine learning algorithms, editorial tools, and business rules, which have been built primarily to support the full range of VOD use cases – e.g. automated curation of thousands of thematic collections and personalized carousels – were not optimized for linear channel content programming.
How could we adapt the well-crafted thematic and personalized lists of content generated by our content recommendation system into channel schedules? How could we automate key operator FAST programming processes to scale them?
In response to this challenge, we listened to our customers and developed our new Playlist Creator.
Playlist Creator is designed to scale the FAST programming task thanks to automation and AI. It leverages complex content discovery and recommendation recipes to generate content playlists that are fed to FAST cloud playout systems – or simply consumed as Spotify-like playlists or social media feeds.
By leveraging ContentWise’s state-of-the-art recommendation engine, Playlist Creator automates channel programming and ad insertion placements, blending algorithmic AI recommendations with rule-based editorial tools. This eliminates repetitive tasks and streamlines the assembly and maintenance process of both thematic and personalized channels:
Playlist Creator serves as the ideal solution for efficiently scaling your channel programming and advertising operations, regardless of the content formats you’re handling—whether it’s long or short, scripted or unscripted, and whether the content is episodic or non-episodic.
To learn more about Playlist Creator, and about our personalization solutions for linear programming and FAST streaming, contact us at info@contentwise.com.
"Pluggability" allows operators to seamlessly integrate any external, bespoke recommendation AI model into UX Engine.