Speakers:
Scaling Video Understanding at RTL: From Content Moderation to Strategic AI
Date:
Monday, November 17, 2025
Time:
10:45 am
Track:
Summary:
Manual video review for compliance is slow and costly. To solve this, RTL built merm:ai:d – a modular AI platform for automated video understanding, classification, and enrichment. It has reduced moderation times by up to 80% and unlocked new automation potential. This session shows how RTL designed scalable AI workflows that evolved from a single use case into a strategic asset – and what it takes to align AI innovation with business value in media contexts.
From Manual to Automated Author Identification: How Springer Nature Finds the Needles in the Haystacks
Date:
Monday, November 17, 2025
Time:
11:15 am
Track:
Summary:
One of the key initiatives at Springer Nature, journal-based Collections, invites authors to submit papers on specific themes. However, identifying relevant people to invite, from millions of authors, was a cumbersome process. To solve this, an ML based algorithm was built, which identifies authors, based on their recent interactions with us. This reduced the processing time from 4–6 hours to a few minutes and fostered precision and scale. Join Bhaswati and Audrey for operational efficiency insights, finding needles in haystacks.