AWS for M&E Blog

Category: Data Science & Analytics for Media

Super slow motion video creation using generative AI on AWS

Slow motion video is an integral part of media productions, particularly sports broadcasting, that provides viewers with an enhanced experience. Capturing action in slow motion allows the audience to see details not possible to observe at full speed. However, recording real-time video at high frame rates requires expensive specialized cameras. Even then, extreme slow motion […]

Engage online sports fans with live event commentary using generative AI on Amazon Bedrock

Live sports online streaming is a fast-growing market, forecast to grow from USD $18.6B in 2021 to USD $93.1B by 2027, a compound annual growth rate of 24.64% from 2022 to 2030. Sports streaming platforms continually advance, employing diverse strategies to delight users and enrich viewer engagement. These tactics encompass extended statistics and match facts, augmented […]

Advancing Next Gen Stats: 2024 Big Data Bowl analyzes tackling performance across the NFL

If you’re a professional or aspiring amateur data scientist, the Big Data Bowl should be on your radar. This annual competition, now in its sixth year, provides an open platform for engineers, data scientists, students, and analytics enthusiasts worldwide to get involved in football analytics—whether or not they have any sports experience. The Big Data Bowl […]

Building a Digital Athlete: Using AI to rewrite the playbook on NFL player safety

Just as National Football League (NFL) players train and practice to constantly improve, the NFL continually seeks new ways to make the game safer for its players, and more exciting for fans. A key element of this effort is development of the Digital Athlete, a joint effort between the NFL and Amazon Web Services (AWS) […]

Create super resolution for legacy media content at scale with generative AI and AWS

Introduction Today, media and entertainment companies own a large number of legacy media content that was created in low or standard resolutions before high-resolution technology was available—for instance, movies, television shows, music videos, and sports highlight clips. Given today’s advancements in display technology, it’s common for audiences to demand video content to be delivered in […]

Behind the scenes: AWS real-time architecture for Bundesliga Match Facts

This blog was co-authored by Alexander Smirnoff, Senior Cloud Applications Developer, and Kirill Serykh, Data Scientist, from Sportec Solutions AG. Figure 1: Bundesliga Match Facts showing real-time in-game statistics Bundesliga, Germany’s premier football league, uses Amazon Web Services (AWS) to deliver near real-time statistics and in-depth in-game insights called Bundesliga Match Facts (BMF). These statistics […]

Create Fan360 data products on AWS

Introduction The blog post Better understand sports fan data with Fan360 on AWS introduces how a Fan360 data mesh architecture can help sport entities enrich insights through data collaboration within the organization, with third parties, partners, and sponsors. Insights and collaboration can be used to build new avenues for monetization. Creating an effective data product in your Fan360 data […]

Better understand sports fan data with Fan360 on AWS

Introduction Companies and businesses of all sizes across industries now consider acquiring data-driven insights from their customer base as a key priority. Sports entities (teams, leagues, sport broadcasters and partners) are no different. Understanding their global, diverse, and distributed fan-bases is critical to their business strategies. Sports fans interact with their favorite sports and teams […]

AWS and NHL unveil new NHL EDGE IQ Ice Tilt metric to help measure momentum during the game

Ice Tilt helps crack the code on how action on the ice translates to momentum shifts within the game While traditional stats like goals scored and save percentage are straightforward to track, more nuanced aspects of a hockey game have been deemed immeasurable – until now. For the first time ever, the National Hockey League […]

Build generative AI conversational search assistant on IMDb dataset using Amazon Bedrock and Amazon OpenSearch Service

This blog demonstrates how to use Large Language Models (LLMs), Amazon Bedrock, and Amazon OpenSearch Service to create a movie recommendations chatbot. The demonstration uses the IMDb and Box Office Mojo Movies/TV/OTT licensable data package, which provides a wide range of entertainment metadata. Many Amazon Web Services (AWS) media and entertainment (M&E) customers license IMDb […]