Home News How Thomson Reuters is leveraging AI to enhance productivity

How Thomson Reuters is leveraging AI to enhance productivity

by WeeklyAINews
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Thomson Reuters is a venerable information and data group, with its historic roots stretching all the best way again to the nineteenth century. The 2 corporations merged in 2008 and supply a mix of reports and specialised data in areas like legislation, commerce and accounting.

The group processes a ton of knowledge yearly, counting on a employees of 27,000 topic specialists and journalists all over the world to generate quite a lot of content material. As generative AI has emerged in latest months, it might absolutely be tempting to make use of it within the newsroom, as other news organizations have completed, and see this functionality as a chance to cut back employees, minimize prices and automate, automate, automate.

Whereas the corporate sees the advantages of AI for each its workers and clients, it’s not within the employee alternative camp, at the least not but. As a substitute, it sees AI as a approach to assist clients discover data quicker, and assist its workers function extra effectively, eradicating the mundane components of the job so individuals can do what they do finest.

It will be straightforward to suppose that a company as outdated as Thomson Reuters would merely dismiss expertise like generative AI, however the firm tells TechCrunch+ that it’s all in on the subject of the most recent expertise, because it seems for tactics to enhance and modernize its operations.

The individuals half

Chief individuals pfficer Mary Alice Vuicic, says Thomson Reuters sees automation as solely a part of the story, and when you focus on that, you might miss a few of AI’s largest advantages.

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

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

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