Chat-based ingest & AI-powered video summaries
Chat-based ingest & AI-powered video summaries

How AI-enhanced automation led to big efficiency gains for a leading sports league

A leading sports league looked to qibb and Vidispine to streamline content workflows, managing hundreds of games per season. The subsequent automation of content ingestion and press conference summarisation helped significantly improve efficiency. Jonas Michaelis, CEO at qibb, provides greater insight on the project.

Managing media workflows for a leading sports league, with hundreds of games per season, is a formidable task. Each game generates a massive amount of media content that needs to be efficiently ingested, managed, and distributed. This content is not only generated through the main production on the field, but also by a large number of staff around the match capturing pictures, social media content, press conferences, and more. Some of the challenges presented by the project included:

Inefficient processes: The manual handling of content collection, ingestion, and summarisation was cumbersome and prone to errors. This inefficiency resulted in delays and sometimes even prevented content from being uploaded to the system...

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AI and the evolution of MAM: Part one – risk analysis

Forms of AI and automation have been making efficiencies in media asset management (MAM) systems for some time, but as the technology becomes more powerful and its potential applications more expansive, what are the major considerations and risks of AI’s role in MAM? James McKeown explores in the first of a three-part investigation.

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