Aws Ai Nfl Aws Amazon Com

Bonisiwe Shabane

-Nov 18, 2025, 3:56 AM

NFL games accounted for 46 of last year’s top 50 telecasts, averaging 15.8 million viewers over the season. For fans, the sport’s continued appeal may have a lot to do with the chess-like combination of strategy, preparation and instinct that goes into every play. No factor can be overlooked for its potential impact on how those plays pan out: everything from changes in team rosters to the conditions on the field (i.e., indoor vs. outdoor, day vs. night, not to mention wind and precipitation). While the NFL has tracked a wide variety of statistics since its inception, for decades these metrics were relatively rudimentary—like simply counting statistics that didn’t necessarily reveal the full scope of what happened during...

Recently, the NFL realized it needed a more advanced system to collect data and make sense of it. Such a system could reveal insights about game dynamics for both fans and players—for example, the results of particular player lineups or the factors that impacted a player’s performance. The end goal: to create customer loyalty for the NFL and fuel diehard fans in their quest to better understand the game. Today, the NFL’s Next Gen Stats (NGS) program uses sophisticated tracking technology collected via RFID devices in the shoulder pads of every player and embedded at each of its stadiums. These devices capture data about which players are on the field at a given moment, their location within inches, and the speed and direction in which they move. This treasure trove of data represents a tremendous resource for the league’s 32 teams, multiple media partners and approximately 180 million fans worldwide.

“Machine learning is unlocking potential for us to do more than we otherwise could, in a timely manner with a high degree of confidence.” Matt SwenssonVice President of Emerging Products and TechnologyNFL Powered by AWS Machine Learning to create a better experience for fans, players, and teams. AWS powers the NFL's Digital Athlete, a injury prediction tool, that uses machine learning and AI to help identify when players are at an increased risk of injury. The Seattle Seahawks and AWS have created a winning partnership using data-driven insights across the franchise to analyze information across player acquisition, team and opponent scouting, and player health. The NFL uses AWS technology to take real-time insights and transform fan engagement to offer personalized experiences and content curation.

The NFL and AWS tackled the hidden dynamics of punt and kickoff with Expected Return Yards to estimate yards a return will gain when the ball is caught. Discover how the NFL leverages AWS to drive innovative fan, player, and employee experiences powered by cutting-edge generative AI services like Amazon SageMaker and Amazon Bedrock. Developed by the Next Gen Stats (NGS) team and Amazon Web Services (AWS), Tackle Probability paints a more complete picture of the art of the tackle than previously possible, from both an offensive and... A new tackle probability model aims to capture the entire process of tackling, from pursuit angles to missed attempts, providing a wealth of deeper and more granular insights for teams, broadcasters, and fans alike. Explore how the NFL is using AWS to develop a unified view of its 77 million active fans, enabling personalized experiences and real-time insights. Discover the composable, cloud-based ecosystem that empowers the league to rapidly operationalize fan intelligence across consumer touchpoints.

Discover how the NFL leverages AWS to build a cutting-edge data platform that unifies 90 billion rows of fan data, enabling personalized experiences and real-time insights at unprecedented scale. In this video, Paul Bellew, Chief Data/Analytics Officer at NFL, explores the cloud-based ecosystem that allows the league to rapidly operationalize fan intelligence across consumer touchpoints. Learn how the NFL harness the power of AWS generative AI to enhance live sports broadcasts, player performance analysis, and fan engagement. Hear from industry leaders on the scalability, competitive advantages, and cultural considerations of adopting this transformative technology on AWS. 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.” Explore how AWS and NFL Next Gen Stats are revolutionizing player evaluation with Combine IQ and Draft IQ. Dive into real-time insights, AI-powered predictions, and expert analysis as we transform the NFL Draft experience.

NFL Draft IQ, developed by the NFL Next Gen Stats team and powered by Amazon QuickSight, is an interactive analytics dashboard that processes complex data to deliver real-time draft insights previously available only to... By crunching vast amounts of information—from historical patterns to live draft data—Draft IQ helps fans anticipate team moves, analyze trade probabilities, and gain an unprecedented information advantage, with updates every 5 minutes during the... See how ESPN NFL analyst, Benjamin Solak, is using Draft IQ to make his draft predictions, while ESPN analysts Mina Kimes and Field Yates use the tool to analyze which teams are in the... Draft IQ, powered by Amazon QuickSight, brings unprecedented access to NFL draft analytics through eight innovative features that process real-time data at enterprise scale. Discover how AWS technology transforms team strategies, prospect evaluations, and draft-day decisions into immediate insights: 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) that represents the next generation of player health and safety for... The Digital Athlete uses artificial intelligence (AI) and machine learning (ML) to build a complete view of players’ experience, which enables NFL teams to understand precisely what individual players need to stay healthy, recover... In time, the technology—which is being used across all 32 NFL clubs for the first time this past season—may be able to help predict and prevent injuries. The NFL kicked off the Digital Athlete to help teams improve how they gathered information about and analyzed injury—a process that was previously siloed and time consuming. After conducting a roadshow to find the right partner to build the technology, the league ultimately teamed with AWS. “AWS was the obvious choice given its best-in-class cloud technology capabilities and its unmatched ability to collect and make sense of large amounts of data,” says Jennifer Langton, senior vice president of health and...

“We are proud to work closely with AWS on technology that is transforming how NFL teams are approaching player health and safety.” To build a complete view of players’ experience, the Digital Athlete gathers data from a range of sources, including game day data from the Next Generation Stats System (NGS), which uses AWS to capture... 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.” 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... The NFL has announced the launch of NFL Pro's Fantasy AI Assistant, a new digital experience that delivers personalized fantasy football insights powered by AWS AI, Next Gen Stats, and NFL Fantasy data. It is available exclusively to NFL+ Premium subscribers; sign up for an NFL+ Premium account today to get access.

Built in collaboration with the AWS Generative AI Innovation Center, the Fantasy AI Assistant employs a multi-agent architecture leveraging Amazon Bedrock foundation models to orchestrate specialized agents for data retrieval, analysis, insight generation and... This architecture enables the product to reason across multiple data sources to deliver accurate, contextual answers in real time. Combined with Next Gen Stats performance data, real-time player news, and matchup analysis, the Fantasy AI Assistant provides instant, data-driven recommendations that help users: The Fantasy AI Assistant feature helps fans make smarter, faster lineup decisions every week of the season. Fans can ask natural language questions such as "Who should I start this week?" or "Who would you rather have for the rest of the season?" and receive tailored insights that account for key... Fans can experience the new Fantasy AI Assistant today by visiting NFL Pro on desktop or mobile web and logging in with their NFL account credentials.

This addition joins a growing suite of NFL Pro features available to NFL+ Premium subscribers, including pregame and postgame Insights, All-22 coaches film, and advanced Next Gen Stats data. Get more information on how to get the most out of your NFL Pro experience here. Line up. Lock in. Rush your way through our data challenges to be crowned MVP! Join AWS GameDay: NFL Digital Experience and become an MVP in cloud computing!

Aws Ai Nfl Aws Amazon Com

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