Category: Data Science & Analytics for Media

Introduction The expansive and ongoing market penetration of broadband services and mobility devices has triggered exponential demand for content across the globe. News content is no exception, with steady growth in the number of players in the news business. User generated content (UGC) on social media platforms is also a strong disruptor. At times, breaking […]

Introduction Each day, we are presented with information that is personalized to us. This comes in the form of advertisements, social media content, entertainment, and more. This personalization helps us to meet consumer demand and influence consumer behavior. From the perspective of sports franchises, there is yet unmet demand to deliver personalized content to both […]

This blog was co-authored with Diane Strutner from Datazoom. The media and entertainment industry is arriving at an important phase of streaming video deployment—observability and optimization. In order to achieve a fully optimized end-to-end video stack, it must be monitored and adjusted for trade-offs between performance and efficiency or profitability. The first goal is to […]

Each year, professionals from the global cloud community converge at the annual AWS re:Invent conference to attend inspirational keynotes and panels, in-depth learning sessions, and network with industry colleagues and leaders. This year proves no exception as re:Invent returns to Las Vegas, NV November 28 – December 2 in full force. With the transformative technology […]

Introduction With streaming platforms becoming ubiquitous, media and entertainment companies are looking to differentiate themselves in a crowded marketplace. They are seeking ways to preserve, rediscover, enhance, restore, and monetize their content libraries to offer them to consumers. In order to achieve this, it is recommended that media and entertainment companies migrate their entire content […]

This is the third and final post in the series of blog posts on contextualized viewer engagement and monetization for live over-the-top (OTT) events. This post details how Amazon Personalize, which allows developers to quickly build and deploy curated recommendations and intelligent user segmentation at scale using machine learning (ML), can be adopted to determine […]

FOX Corporation (FOX) produces and distributes news, sports, and entertainment content. Millions of viewers engage with content from FOX through its broadcast and over-the-top (OTT) platforms. FOX pioneers live and on-demand media content delivery and production using cloud-based solutions including: storage, compute, machine learning (ML), media solutions, and databases from Amazon Web Services (AWS). After […]

The mission of PBS is to serve the American public with trusted programming and resources that educate, entertain, and inspire, and provide a diversity of perspectives. The publicly funded, nonprofit public broadcaster and television program distributor was founded in 1969 and is headquartered in Arlington, Virginia. It has over 330 member stations and reaches 100 […]

Tabcorp, one of Australia’s top gaming and entertainment companies, operates betting across 641 locations for multiple sports and race types. Even as customers flock to digital platforms to place bets, interactive voice response (IVR) remains a critical part of the company’s business to accommodate customers that prefer telecommunication. To modernize its IVR system, Tabcorp enlisted […]

Baseball isn’t just America’s favorite pastime; it’s also one of the most popular sports in Japan. Nippon Professional Baseball (NPB), the Japanese equivalent of Major League Baseball (MLB), attracts a fanbase of more than 20 million. Following the sport, however, requires ultimate fan dedication, as NPB teams hit the field more than three times a […]