University of Kwazulu-Natal

Nfl X Amazon Web Services Fact Sheet

Bonisiwe Shabane
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nfl x amazon web services fact sheet

The NFL and Amazon Web Services (AWS) are partnering in an effort to transform player health and safety using cloud computing, machine learning and artificial intelligence (AI). Together, the NFL and AWS are innovating to shape the future of football. The partnership combines the NFL's extensive set of game data with AWS technologies to provide a deeper understanding of the game than ever before. The NFL and AWS will work to develop new tools and generate deeper and better-informed insights into injuries, specifically the impact of a variety of factors such as game rules, equipment, and rehabilitation and... Over time, the collaboration aims to also build the capability to predict the risk of injuries before they happen. This partnership addresses the NFL's top priority—advancing player health and safety—by developing new approaches and advanced tools.

The data collected through this work has the potential not only to revolutionize football, but also to help address injury prevention and detection beyond football. Click here to download a PDF version of the NFL x AWS fact sheet. Behind every gravity-defying catch and over-the-top tackle, a team of engineers and data scientists work tirelessly to bring National Football League (NLF) fans closer to the on-field action. One of the latest NFL analytics implementations is a sophisticated generative AI system built on Amazon Web Services (AWS). Its creation and deployment is one of the most complex engineering accomplishments in sports media to streamline query and search of media assets to exacting specifications. How does the NFL take more than a century’s worth of football history, millions of video clips, and an ever-growing archive of statistics as inputs to a system that can respond to conversational queries...

This is the puzzle that NFL’s technical team, in collaboration with AWS, set out to solve. From developing advanced machine learning models to creating intuitive user interfaces, the journey to build a system to provide this capability was as arduous and demanding as any fourth-quarter drive. In this blog post, we break down the X’s and O’s of this engineering achievement, demonstrating how the NFL tackles big data challenges head-on. The NFL’s journey into a generative AI-powered content management didn’t start on a whim. It was born of necessity, driven by the sheer volume of data the league accumulated over its storied 100-year history. Imagine navigating a digital labyrinth containing millions of video clips, countless audio snippets, an ocean of statistics, and an ever-growing collection of fan-generated social media content.

This is the reality of the NFL’s media asset management (MAM) system—a treasure trove of content that is both a goldmine and a challenge for content creators. The NFL has amassed an unimaginable volume of facts, stats, game day coverage, athlete press interviews, and media assets over the last 100 years, including millions of audio and video clips, as well as... Any play of substance merits capture from various viewing angles, such that the NFL’s impressive asset library continues to grow rapidly. It even includes social media clips generated by fans. If roughly half of a game’s plays are consequential, that’s around 75 plays per game, and the average NFL season encompasses 272 games. This means the NFL feeds more than 20,000 plays captured from multiple angles into its library each season.

Matt Swensson, SVP Product and Technology at the NFL, paints a vivid picture of the challenge: “Until now, our teams needed to perform extensive pre-research to find the media assets they needed. It was like trying to find a specific play in a hundred years’ worth of game footage—which is time-consuming and often challenging.” The NFL and Amazon Web Services have extended the length and expanded the scope of their partnership, introducing generative AI functionality among their collaborative projects. The pair have co-developed two uses of gen AI for internal efficiency at NFL Media. The first uses Amazon Q Business, an automated assistant that facilitates access to business intelligence and production knowledge using natural language prompts. The other relies on Amazon Bedrock for easy retrieval of insights and video footage storied in the Next Gen Stats dataset.

“It's not replacing the decision-making process of people, but it's exposing these things much faster, so we can be much more responsive as a business,” said NFL Deputy CIO Aaron Amendolia, explaining that the... Both will be used to help employees produce more and better content across its properties, ranging from NFL Network and NFL Films to digital platforms such as the website, app and social media. Production assistants will be spared countless hours of manual tasks, such as watching video to tag plays, “freeing up that human time to spend it back on the most valuable activities,” Amendolia said. The gen AI will thus serve fans through a human intermediary, rather than be directly fan-facing -- but those types of projects are in development. Amendolia didn’t put a specific timetable other than to say it could be “soon” but also only “when it’s right for the brand.” Quality control is essential. NEW YORK – Sept.

10, 2024 – The National Football League and Amazon Web Services, Inc. (AWS), an Amazon.com company (NASDAQ: AMZN), today announced an extension of their long-term partnership. Since 2017, the NFL and AWS have been at the forefront of innovation, leveraging AWS's artificial intelligence (AI) and machine learning (ML) services to shape the future of football. The global partnership will be on display during this week’s games with the debut of a new AI-powered Next Gen Stat that changes how we understand and analyze tackles in football. The Tackle Probability ML model predicts, at any given moment of a play, the likelihood that a given defender will make a tackle, helping to quantify which defenders are the most reliable tacklers and... Tackle Probability can be used to calculate various metrics that can be applied to both offensive and defensive analysis, such as missed tackle attempts by a defender and missed tackles forced by a ball...

Powered by AWS, the Next Gen Stats platform collects over 500 million data points each season. This wealth of data serves as the foundation for innovation throughout the NFL, from enhancing fan engagement through advanced statistics to transforming the viewing experience by enabling alternate broadcasts and new ways of visualizing... Additionally, data-driven insights have a direct impact on the game itself by informing rule changes to make the game safer and even more exciting, including the NFL’s new Dynamic Kickoff. A key component of the partnership renewal is the implementation of generative AI to increase operational efficiency and drive additional value for the league and its fans. “Through our collaboration with AWS, we are continuously pushing the boundaries of what’s possible in football,” said Gary Brantley, chief information officer at the NFL. “By harnessing the power of data and advanced technologies like generative AI, together we are accelerating the pace of innovation in important areas such as player safety, fan engagement and content production.

This season we’ll see an increase in operational efficiency as we begin to leverage AWS’s generative AI capabilities at NFL Media.” Unable to retrieve the specified document. Learn how the NFL used Amazon QuickSight and Amazon Q Business to launch interactive dashboards and a conversational chatbot to give fans unprecedented access to the analytics that power the NFL Scouting Combine and... The National Football League (NFL) set out to reimagine how fans experience the NFL Scouting Combine and NFL Draft—moving beyond static trackers to deliver near real-time, interactive insights. Working with Amazon Web Services (AWS), the NFL transformed internal analytics models into Combine IQ, a live dashboard fans can use to better understand athlete performance. Following the success of Combine IQ, the NFL and AWS teamed up to launch Draft IQ, which gives fans access to player data and team draft boards updated every three minutes.

Fans can query Draft IQ directly using Draft IQ Assistant, an AI-powered chatbot trained on football-specific language. Over the course of the Combine and Draft, more than 1 million fans engaged with these tools, which handled tens of thousands of concurrent queries flawlessly and raised the bar for fan innovation. The National Football League is America's most popular sports league, comprised of 32 franchises that compete each year to win the Super Bowl, the world's biggest annual sporting event. Founded in 1920, the NFL developed the model for the successful modern sports league, including national and international distribution, extensive revenue sharing, competitive excellence, and strong franchises across the board. The NFL is committed to delivering new and innovative experiences that keep fans connected to the game year-round. Whether it’s the excitement of game day, the intensity of the NFL Scouting Combine, or the drama of the NFL Draft, the league is constantly exploring ways for fans to engage and experience the...

Historically, fans interested in the outcome of the Combine and Draft could follow the action on NFL.com, but only through static trackers that listed results after they happened. “What we lacked was a rich, analytically driven experience where fans could interact with the data themselves—whether that’s understanding player performance or getting a glimpse into their team’s draft strategy,” said Mike Band, senior...

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Matt Swensson, SVP Product and Technology at the NFL, paints a vivid picture of the challenge: “Until now, our teams needed to perform extensive pre-research to find the media assets they needed. It was like trying to find a specific play in a hundred years’ worth of game footage—which is time-consuming and often challenging.” The NFL and Amazon Web Services have extended the length and expanded t...