AI Case Study
TMZ generates more than 6.5m video views on Facebook by auto editing video contents to suit device screens or platforms using machine learning
TMZ uses Wibbitz's machine learning based video content creator to auto modify and create videos edited to maximise views for each platform. Videos can also be auto created from text using images, publicly available videos etc combining machine learning with manual intervention.
Consumer Goods And Services
Media And Publishing
From Wibbitz, "To promote their juiciest stories on Instagram Stories and Snapchat, TMZ's team creates vertical Snippets, snackable, 10-second video format using Wibbitz. They also use Wibbitz to duplicate story into multiple video formats, on every social platform."
Adweek reports that, "With a combination of machine learning and manual curation, Wibbitz’s Snippet tool uses text, graphics, videos, photos and music to create vertical or square videos that look strikingly similar to those seen on Snapchat’s Discover channel.
Selecting a video type and entering text into the platform triggers Wibbitz’s software to create a video that incorporates bold colors and themes like Snapchat has made popular. Users can then edit and add to the video before selecting a theme and publishing."
Automated content creation
Faster reach to users on their preferred platform
"TMZ wanted to be the first to break major celebrity news stories to the public in every platform. This feat has become increasingly challenging as more platforms, screens and technologies are introduced to the market, and as each requires different types of content that audiences respond best to. TMZ needed a video solution that allowed them to approach each platform differently while still reaching their audiences with the stories that interest them"