Andrew Bonwick
Vice President of Product Development at Relm Insurance
Madhav Sheth
CEO of Ai+ Smartphone
Stephen Rose
CEO Render Networks

BookMyShow’s recently launched audio entertainment offering Jukebox has now introduced a wide variety of digital audio shows on its platform. In addition to downloading their favourite songs, Jukebox – a unique digital radio service will now enable its listeners to easily discover and listen to specially curated BookMyShow original audio shows and licenced content.

This marks BookMyShow’s entry into non-music entertainment providing listeners comprehensive audio entertainment options across categories including Horror, Sports, Bollywood, News and Business, Kids, Comedy, Music, Entertainment (story-telling, drama, mystery etc.), History, and Mythology & Devotion. Together this will offer over 2000 hours of on-demand content to Jukebox listeners, free! Moreover, Jukebox is the only service allowing its users to download the content and listen to it offline, without any fee.
The ‘JustPressPlay’ proposition, will give Jukebox users the best curated entertainment options on their fingertips. For easy discoverability, Jukebox has been designed to show trending content first, followed by recently added and then delving into different categories of content. In addition to English, “talk content” will also be available through over 60 shows in multiple regional languages including Hindi, Marathi, Punjabi, Tamil, Oriya to name a few. Jukebox will add new shows every 15 days, and release new episodes of existing shows on a daily or weekly basis.
The Jukebox listeners will also have the liberty to choose from four different streaming speed options- Data Saver, Normal, Good and HD.
Aditya Kuber, Associate Vice President-Audio Entertainment, BookMyShow said, “As BookMyShow is moving toward becoming a 360 degree entertainment destination, we are excited to explore the potential of audio entertainment with Jukebox. To make the experience unique for each listener, we will use a mix of machine and deep learning to understand user preferences and offer content suggestions in line with them.”