Spotify uses Google’s AI to tailor podcasts and audiobook recommendations. On Thursday, Spotify (SPOT.N) expanded its cooperation with Google Cloud to employ large language models (LLMs) to assist in identifying a user’s listening patterns across podcasts and audiobooks to provide suggestions catered explicitly to their preferences.
Learning language machines (LLMs) powered by artificial intelligence, such as OpenAI’s ChatGPT and Google Bard, are trained on an enormous quantity of data to create text and other material.
Alphabet’s (GOOGL.O) Google Cloud possesses several different LLMs, some known as PaLM 2, Codey, Imagen, and Chirp. These LLMs may be trained on text, codes, pictures, audio, and video.
Spotify was one of the earliest companies to implement AI, which it did a decade earlier to improve its music recommendation algorithms. The Swedish firm wants to duplicate that success across its non-music products like podcasts and audiobooks, and they want to do so by using LLMsso.
The massive music streaming service has been trying to increase its profits by broadening its offering to include more forms that may generate income, such as audiobooks and podcasts.
In the past, it had guaranteed that its expensive growth into podcasts and audiobooks would result in profits with high margins.
Gustav Soderstrom, chief product and technology officer for Spotify, says, “Google Cloud’s commitment to building the best platform for our products to run on and driving further innovation with the emerging capabilities of generative AI has matched the evolution of our technology.” “Google Cloud’s dedication to creating the best possible platform for our products to run on has matched the evolution of our technology.”
As a result of its extended cooperation with Google, Spotify is investigating the possibility of utilizing LLMs to deliver a more secure listening experience and identify potentially hazardous content.
