‘AI Skills Factory’ Created By Thomson Reuters For Non-Engineers To Build Expertise

Thomson Reuters has released a new platform powered by generative artificial intelligence (AI), which features an “AI skills factory” that would allow subject-matter experts who are not developers or software engineers to experiment safely with building new AI tools to address business needs. The platform offers an opportunity to apply generative AI across various customer bases, including legal professionals, tax professionals, corporations or Reuters News.

Shawn Malhotra, who is the head of engineering at Thomson Reuters, noted that generative AI is good at solving the same problems that customers are dealing with. However, with limited resources and only a few talents who completely understand generative AI, there is a need to move faster. The platform will help broaden the pool of workers who can find innovative AI-driven solutions by abstracting some of the complexities and nuances of generative AI so that developers or even subject-matter experts who are not coders can start to assemble and experiment with generative AI.

The platform enables the creation of AI skills to figure out whether it’s adding customer value. That’s because sometimes the deep domain expert who has the best idea would build the best solution. According to Malhotra, the platform enables them to build the AI skill, increasing the number of people who can participate in innovation, and turning innovation into real customer value much faster.

To build an AI skill, the platform user may choose one of Thomson Reuters’ proprietary content sets along with a language model. They can then experiment to determine whether or not it’s a good solution to the problem they are attempting to solve. In recent months, new building blocks have been added to help users build generative AI skills, and it has become easier for those who are not software engineers or developers to create AI building blocks.

Despite the speed and efficiency with which the platform allows for the creation of AI skills, development still faces some challenges. It is essential to note that scraping data from the web isn’t always possible. Recently, a scrape the web tool executed by Thomson Reuters, called OTP Voice, did not yield any results. It is crucial to note that user expectations regarding the platform must be realistic, considering external factors and limitations.

Finally, with a massive opportunity to apply generative AI across diverse customer bases, Thomson Reuters aims to continue enhancing and evolving the platform. By abstracting the complexities and nuance of generative AI, the pool of potential developers has been broadened to include subject-matter experts. The result is faster innovation and an increase in the number of people involved in it, thereby turning innovation into real customer value.