Scribd, Inc., a multinational technology company focused on the written and spoken word, announced a beta version of Ask AI, a new AI-powered tool designed to enhance the customer experience for the company’s Scribd and Everand brands. The new feature will allow users to quickly pull key information from documents on Scribd, saving them time on lengthy research. On Everand, Ask AI will be able to recommend e-book and audiobooks titles based on a user’s unique interests, to provide users with a more personalized experience.
These investments in generative AI are part of Scribd, Inc.’s ongoing commitment to innovation as it continues to find new ways to stay on the cutting edge of technology while improving the user experience, and bringing additional benefits to publishing industry partners.
“With Ask AI, we’re not just improving the user experience; we’re beginning to redefine it,” said Beck Kloss, Chief Product Officer and Chief Technology Officer at Scribd, Inc. “This innovative tool will empower our users to uncover insights and discover new content effortlessly, bringing a new level of personalization and efficiency to their digital journeys.”
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The current Scribd platform enables users to upload and share documents to make spreading knowledge easier, but locating relevant information can sometimes be a time-consuming process amongst the hundreds of millions of documents available on the site. Ask AI will allow users to ask questions and get answers about specific documents on Scribd through an AI-powered chat interface that will quickly analyze documents up to 1,000 pages in length in just a few seconds and pull key takeaways, extract data or expand on concepts.
Everand is the ultimate destination for millions of ebooks, audiobooks, podcasts and magazines. While having so much content to choose from can be great, it can also be daunting when readers are trying to find something new to read or listen to. Built to help users find the content they want quickly and easily, Ask AI’s natural language dialog is capable of handling all types of queries, from specific searches to broad statements. The result is more personalized recommendations for Everand users that will empower them to find and consume more of the content they love.
SOURCE: Businesswire
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