View Case Study
Derive actionable insights about content factors influencing News performance

Custom AI to generate necessary news metadata for mapping content parameters with the viewership

01

Ranking of key factors across channels

Comparative visualization of the key factors across news channels to the overall sentiment of the viewership

02

Improved decision making

Select the right set of stories, anchors or guests in a certain slot for a certain region

03

Recognize the value of the ad-slots available

Representation of the ad-slots along with story and anchor/guest combination to understand its actual worth

04

Content Performance Analysis

Intuitive dashboard which maps content parameters with viewership

AI Workflows

Identify hidden content parameters which drive news performance

01

Face Recognition Service for News

Identify the anchors, guests and personalities in the news content to understand their correlation with maximum viewership

02

News Summarization Service

Custom AI service which summarises headlines, stories and sub-stories for a given news segment and analyses its popularity and reception among the audience

03

AthenasOwl Vision Service for News

Identifying location, background elements, screen-display mode and other overlaid elements for editors to help them create quality short-form content

Features
Explore the Technology Features

Split Screen Detection

Detection of single and split-screen views within the digital video

Locale Detection

Automated detection of in-studio/on-location settings within the digital news video

Graphics Assist

Detection of overlaid graphics within the digital video.

Content Performance Visualization

AI-dashboards for your content team to create data-driven news stories.

Text Summarisation

Identify Headline, stories, story-genre and sub-stories in the news content

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