RUZIVO Description
Segmentation is a technique employed in Print and Broadcast Media that has traditionally relied on manual methods. However, RUZIVO has transformed this practice by introducing automation through Machine Learning, which not only enhances precision but also significantly reduces both time and expenses. The Segmentation process developed by RUZIVO involves identifying the beginning and end markers of radio clips and images intended for Broadcast and Print. In this phase, it is assessed whether the content—be it an image, video, audio clip, or email—qualifies as an advertisement. Once classified as either Ads or non-Ads, various media formats are then cross-referenced with an archive to identify whether they are new or duplicates. This step is crucial, as duplicates are cataloged while new Ads are sorted into categories based on industry, type, and any other client-specific criteria. The automation of the Classification process by RUZIVO has significantly expedited the time it takes for clients to become aware of new advertisements in their chosen categories, resulting in a more streamlined workflow. Consequently, clients can now respond more swiftly to advertising trends and changes in their respective markets.
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