Oracle in Las Vegas for the NAB Show
By Oracle M&E on Apr 07, 2014
Broadcasters from around the world gather in Las Vegas this week for the annual National Association of Broadcasters (NAB) Show. There's an almost-bewildering array of the latest technology for creating, managing and delivering video entertainment - addressing an incredible diversity of content: from over-the-top (OTT) streaming on mobile devices at one end, to the brilliant quality and resolution of ultra-high-definition (UHD) and 4K formats at the other.
Distributing that content to end consumers is enabled by Oracle's partnership with Fraunhofer FOKUS, the co-developer of the MPEG-DASH standard for cross-device, secure video streaming. At NAB we'll be showing the power of Oracle's Media Commerce solution to build a powerful personalized content platform with highly-flexible transactions and subscriptions from Oracle Billing and Revenue Management Cloud, integrated with MPEG-DASH to deliver video to any device. This allows content owners to build a next-generation OTT or VoD platform to deliver compelling customer experiences while innovating business and revenue models.
Content owners and distributors can unlock immense value by better understanding every digital interaction they have with every end consumer. For the first time at NAB, Oracle is showing its Media Intelligence solution, in partnership with media big data specialists NGDATA. Built on Oracle's powerful Big Data Appliance this cost-effective solution allows media and entertainment companies to capture real-time data about consumers - from web logs, clickstream, transactions, social media - and build a detailed "DNA" profile of each individual user. This can then drive highly-targeted marketing and social media to acquire new customers and viewers, while delivering them a very personalized experience with relevant content recommendations and targeted advertising. Best of all, the solution can be deployed And delivering value in a matter of weeks - significantly faster and cheaper than "DIY" big data solutions.