blog post
AI Revolution
The year 2023 has seen Spotify embark on an AI-driven marathon. With the strategy reminiscent of an all-you-can-eat buffet, the company has unleashed a profusion of AI products. The crucial question looms: which of these offerings will captivate the hearts of its 551 million global users?
The deluge commenced in February with the introduction of DJ, Spotify’s inaugural venture into generative AI. DJ offers a personalized song lineup, accompanied by casual conversational interludes reminiscent of a friendly radio host. This feature is powered by a blend of Spotify’s personalization technology, OpenAI’s GPT 3.5, and Sonantic, an AI voice platform that Spotify acquired in June 2022.
DJ may not herald a revolution in the way we consume music, but it resembles a genial host who has thoughtfully curated a playlist just for you. Spotify reports that users spend a third of their platform time engaging with DJ, and they are more open to exploring new music when they understand the reasoning behind the recommendations.
In September, Spotify rolled out Daylist, a personalized playlist that evolves both its track list and ambiance throughout the day, sporting intriguing names like “basketball battle royale Saturday evening” or “lonely breakdown Tuesday evening.”
Yet, the most talked-about feature is undoubtedly Voice Translation, currently offering Spanish translations, with French and German soon to follow. Presently, only a select few podcasters can utilize this capability. However, Spotify envisions a future where any podcaster can effortlessly translate their episodes into multiple languages. Questions surrounding compensation and structure for this service remain unanswered.
Voice Translation holds special significance for In the midst of the relentless wave of AI-driven innovations, Ziad Sultan, Spotify’s AI czar, is orchestrating a symphony of intelligence to enhance the streaming experience and foster greater social connections.
Rewinding nearly two decades, to a time when AI had yet to capture the zeitgeist, Sultan’s fascination with the field began while he was a 17-year-old newcomer to Cambridge, Massachusetts, fresh from Beirut. His pursuit of this then-obscure domain unfolded at the Massachusetts Institute of Technology, driven not by the prevailing excitement of the era, but by the latent promise AI held for him.
Fast forward to 2019, and Sultan’s prescience has been vindicated. As he has spearheaded a slew of initiatives that harness the power of machine learning. His journey started with personalized playlists and has now evolved to encompass AI DJs and translated podcasts.
The year 2023 has seen Spotify embark on an AI-driven marathon. With the strategy reminiscent of an all-you-can-eat buffet, the company has unleashed a profusion of AI products. The crucial question looms: which of these offerings will captivate the hearts of its 551 million global users?
The deluge commenced in February with the introduction of DJ, Spotify’s inaugural venture into generative AI. DJ offers a personalized song lineup, accompanied by casual conversational interludes reminiscent of a friendly radio host. This feature is powered by a blend of Spotify’s personalization technology, OpenAI’s GPT 3.5, and Sonantic, an AI voice platform that Spotify acquired in June 2022.
DJ may not herald a revolution in the way we consume music, but it resembles a genial host who has thoughtfully curated a playlist just for you. Sultan’s team, which had already mastered the art of predicting users’ musical preferences, now excels in providing explanations for these selections, thanks to the lifelike AI voice they developed earlier in the year. Spotify reports that users spend a third of their platform time engaging with DJ, and they are more open to exploring new music when they understand the reasoning behind the recommendations.
One of his earliest endeavors at Spotify was Blend, a precursor to Jam, enabling multiple users to collaboratively create personalized playlists. Sultan’s vision revolves around personalization evolving from an individual benefit to a communal one, a philosophy that underpins features like Jam.
While features like Blend, Jam, and Daylist may seem more like evolutionary steps for long-time Spotify users, Sultan believes that Voice Translation opens up a realm of untapped possibilities. The first step is making this feature accessible to all podcasters. Subsequently, expanding to support more languages and potentially venturing into audiobooks could be on the horizon.
However, there’s more in store for DJ as well. Sultan envisions an advanced version that allows users to interact and collaborate with the DJ, shaping the music experience to their liking. He remains tight-lipped about specific features in development, leaving us to ponder the potential innovations on the horizon.
When questioned about the use of generative AI to create new music tracks, a topic causing ripples in the music industry, Sultan treaded carefully, emphasizing Spotify’s commitment to serving creators with technology. He alluded to the swift pace of developments in this area, referring to Spotify CEO Daniel Ek’s recent comments on AI-generated content. While some boundaries are clear, such as prohibiting deepfake AIs impersonating famous artists, the future of AI-driven music on Spotify remains a dynamic landscape.
Amidst the buzzwords of “large language models,” “diffusion models,” and “generative AI,” Sultan’s core mission remains unchanged: to harness AI’s potential to connect people and shrink the boundaries of possibility.
How this journey will unfold and what new horizons it will reveal, only time will tell.
Author
Steve King
Managing Director, CyberEd
King, an experienced cybersecurity professional, has served in senior leadership roles in technology development for the past 20 years. He has founded nine startups, including Endymion Systems and seeCommerce. He has held leadership roles in marketing and product development, operating as CEO, CTO and CISO for several startups, including Netswitch Technology Management. He also served as CIO for Memorex and was the co-founder of the Cambridge Systems Group.