Bloomberg

Transitioning to a cloud-native OTT platform to manage a growing multi-channel streaming presence at global scale

TV screen with Bloomberg TV app

At a glance

Service type
Live and on-demand news and business streaming service

Content focus
Live programming, breaking news, interviews, Bloomberg Originals and Quicktake short-form content

Availability
Global

Devices
tvOS, Android TV, Fire TV, Roku, Samsung Tizen, Vizio, X1

Business model
AVOD

Key outcomes

  • Transitioned from legacy OTT infrastructure to a fully cloud-native platform without disrupting the viewer experience
  • Expanded the streaming presence to incorporate two new channels, Quicktake and Bloomberg Originals, within the platform
  • Simplified global app management and content publishing through a single cloud-based editor

About Bloomberg

Bloomberg is a global leader in business and financial news, delivering live programming, breaking news, in-depth interviews and original documentary content to audiences worldwide.

Bloomberg TV provides round-the-clock access to markets coverage and analysis, while newer channels Quicktake and Bloomberg Originals extend the brand into short-form and long-form original storytelling. The service operates across connected TV platforms for a global audience.

 

The opportunity

Bloomberg had an established multi-device OTT presence, built in partnership with Accedo using earlier platform infrastructure. As that infrastructure evolved, Bloomberg needed to transition to a more capable, cloud-native platform that could simplify app management and reduce operational complexity across a growing number of devices and platforms.

At the same time, Bloomberg was expanding its streaming offering with the launch of two new channels, Quicktake and Bloomberg Originals. The transition to a new platform needed to accommodate that expansion, bringing the new channels into a unified experience without disrupting existing viewers or adding operational complexity.

The solution

Bloomberg partnered with Accedo One to transition its OTT infrastructure from legacy platform products to a fully cloud-native solution. The technology behind Accedo One now forms part of the Leyra OTT platform, which continues to support and evolve the Bloomberg service.

Bloomberg was able to:

Migrate from legacy Accedo SaaS infrastructure to the Accedo One platform, modernising its OTT foundation without disrupting the viewer experience

Manage and maintain apps across all platforms from a single cloud-based editor, reducing the complexity of managing a large device estate

Incorporate two new channels, Quicktake and Bloomberg Originals, into the streaming experience without requiring separate builds or workflows

Give editorial and digital teams direct control over content and layout across platforms, making it easier to keep the experience current

Deliver live programming, breaking news and on-demand content reliably at global scale using cloud-native infrastructure designed for broadcast-grade availability

Build on an existing technology partnership, ensuring continuity of knowledge and reducing transition risk

The Outcome

Bloomberg modernised its OTT infrastructure and expanded its streaming presence to include two new channels, all managed through a single cloud-native platform.

The transition from legacy infrastructure to Accedo One gave Bloomberg’s teams a simpler and more consistent way to manage their apps globally, reducing the operational effort required to keep content and configurations up to date.

Bringing Quicktake and Bloomberg Originals into the same platform enabled Bloomberg to expand its content offering without adding technical complexity. Rather than treating new channels as separate projects, they could be integrated into the existing experience and managed centrally.

For a global news organisation where speed, accuracy and consistency are critical, that ability to simplify operations while expanding the service is a significant advantage. Today, the technology behind Accedo One forms part of Leyra, supporting the same need for flexible, scalable OTT management across global media services.

With full control over content, curation and analytics, the team can continuously evolve the service, delivering a dynamic, festival-style experience throughout the year.

bloomberg_tv_group

Build a streaming service designed to grow

Learn how the Leyra OTT platform helps streaming services attract audiences, increase engagement and retain subscribers.

This website uses cookies

Cookies consist of small text files. They contain data that is stored on your device. To enable us to place certain types of cookies we need to obtain your consent. At Accedo Magine AB, corp. ID no. 559551-3366, we use the following kinds of cookies. To read more about which cookies we use and storage times, click here to access our cookies policy.

Manage your cookie-settings

Necessary cookies

Check to consent to the use of Necessary cookies
Necessary cookies are cookies that must be placed for basic functions to work on the website. Basic functions are, for example, cookies which are needed so that you can use menus on the website and navigate on the site.

Cookies for statistics

Check to consent to the use of Cookies for statistics
For us to measure your interactions with the website, we place cookies in order to keep statistics. These cookies anonymize personal data.

Cookies for ad-tracking

Check to consent to the use of Cookies for ad-tracking
To enable us to offer better service and experience, we place cookies so that we can provide relevant advertising. Another aim of this processing is to enable us to promote products or services, provide customized offers or provide recommendations based on what you have purchased in the past.

Ad measurement user cookies

Check to consent to the use of Ad measurement user cookies
In order to show relevant ads we place cookies to tailor ads for you

Personalized ads cookies

Check to consent to the use of Personalized ads cookies
To show relevant and personal ads we place cookies to provide unique offers that are tailored to your user data