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Sunday, July 13, 2025

How Thomson Reuters is leveraging AI to reinforce productiveness


Thomson Reuters is a venerable information and data group, with its historic roots stretching all the way in which again to the nineteenth century. The 2 firms merged in 2008 and supply a mixture of stories and specialised info in areas like regulation, commerce and accounting.

The group processes a ton of data yearly, counting on a employees of 27,000 topic specialists and journalists world wide to generate a wide range of content material. As generative AI has emerged in latest months, it could certainly be tempting to make use of it within the newsroom, as different information organizations have achieved, and see this functionality as a possibility to scale back employees, lower prices and automate, automate, automate.

Whereas the corporate sees the advantages of AI for each its staff and clients, it isn’t within the employee alternative camp, at the least not but. As an alternative, it sees AI as a method to assist clients discover info quicker, and assist its staff function extra effectively, eradicating the mundane elements of the job so folks can do what they do greatest.

It might be simple to suppose that a company as previous as Thomson Reuters would merely dismiss expertise like generative AI, however the firm tells TechCrunch+ that it’s all in in terms of the most recent expertise, because it appears for tactics to enhance and modernize its operations.

The folks half

Chief folks pfficer Mary Alice Vuicic, says Thomson Reuters sees automation as solely a part of the story, and if you happen to focus on that, chances are you’ll miss a few of AI’s greatest advantages.

“We expect AI is an outstanding alternative for the professionals we serve via our merchandise, and equally internally for our colleagues,” Vuicic advised TechCrunch+. “We expect it’s a instrument for augmenting the potential of our colleagues in new methods, serving to them do work higher, quicker, extra successfully.”

That mentioned, she additionally acknowledges that enormous language fashions (LLMs) don’t at all times present excellent solutions, and Thomson Reuters is already counting on inner experience to assist right the fashions.

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