University of Kwazulu-Natal

Adding Multimedia National Football League And Amazon Web Services

Bonisiwe Shabane
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adding multimedia national football league and amazon web services

ADDING MULTIMEDIA National Football League and Amazon Web Services Expand Partnership to Further Shape the Future of Football NFL Media Implements Generative AI Tools to Boost Operational Efficiency NEW YORK & SEATTLE--(BUSINESS WIRE)--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... To view a video of Tackle Probability in action, please go to https://www.youtube.com/watch?v=wqvAiuC7d7U. 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 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.” NFL Media has implemented Amazon Q Business, a generative AI-powered assistant, so users can ask questions and get answers to a wide range of business intelligence and production questions. This enables a self-service helpdesk for common technical and operational questions with detailed and immediate responses. Additionally, NFL Media has launched a generative AI-powered research tool built on Amazon Bedrock that enables the production team to use natural language prompts to retrieve insights and relevant footage from distinct plays throughout... Unable to retrieve the specified document. The National Football League (NFL) has further cemented its alliance with Amazon Web Services (AWS), heralding a new era of technological innovation in the sport.

Their recently expanded partnership promises to reshape the way football is experienced both on and off the field, leveraging AWS's cutting-edge artificial intelligence (AI) and machine learning capabilities. As part of this enhanced collaboration, AWS will significantly bolster its role in supporting the NFL's operations through a range of advanced AI tools and data analytics services. The goal is to enrich the fan experience and provide teams with deeper insights into game strategies and player performance. This initiative will see the integration of sophisticated predictive models that aim to offer real-time analyses and predictions, thereby transforming the traditional viewing experience. The partnership has led to Amazon introducing a new AI-powered feature for its Thursday Night Football broadcasts. This innovation will enable viewers to predict game plays and outcomes with unprecedented accuracy.

By employing AWS's advanced algorithms, fans can now engage more deeply with the game, testing their predictions against real-time data and enhancing their overall enjoyment of the sport. The NFL’s partnership with AWS and the launch of new AI-driven features are set to revolutionise the football viewing , not only by elevating the viewing experience but also by enhancing team strategies and... AI’s impact on fan experience looks set to be further enhanced following the launch of a new startup founded by former NFL agent and Nike executive, Scott Bouska. Using their proprietary AI prediction model, Field Vision aims to provide betting enthusiasts with cutting-edge tools to gain a competitive edge in their game predictions. 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. This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20240910844846/en/ 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...

To view a video of Tackle Probability in action, please go to https://www.youtube.com/watch?v=wqvAiuC7d7U. 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. The NFL and Amazon Web Services, Inc., an Amazon.com company, extended their long-term partnership. Since 2017, the NFL and AWS have been at the forefront of innovation, leveraging AWS's artificial intelligence and machine learning 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 the likelihood that a given defender will make a tackle at any given moment of a play, 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 more than 500 million data points each season. This 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 the action... 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.

The implementation of generative AI to increase operational efficiency and drive additional value for the league and its fans is key component of the partnership. NFL Media has implemented Amazon Q Business, a generative AI-powered assistant, so users can ask questions and get answers to a wide range of questions. NFL Media has also launched a generative AI-powered research tool built on Amazon Bedrock that enables the production team to use natural language prompts to retrieve insights and relevant footage from plays throughout the... Football fans have an incredible ability to recall specific moments—game-winning touchdowns, crucial interceptions, and spectacular catches. However, for National Football League (NFL) media producers tasked with finding these specific plays in a sea of thousands of games and millions of plays, it’s like searching for a needle in an ever-growing... What might seem like a simple request—“Show me Justin Jefferson receptions on 4th down in 2022 when the Vikings were losing”—quickly becomes a daunting task.

Media producers and content creators have traditionally spent hours or even days combing through complex systems to compile highlight reels or find that one perfect clip. The scale of the NFL’s media archive is truly massive. It houses over 200 petabytes of high-definition video, capturing multiple camera angles from every play across numerous seasons. To put that into perspective, if you tried to watch this footage continuously, it would take over 175 years to finish, and that’s without taking a single break. This overwhelming volume of data makes navigating the archive a significant challenge for NFL media staff, especially under the tight deadlines of live broadcasts and content creation. The NFL needed a solution capable of quickly and accurately retrieving specific video clips without requiring users to possess deep technical knowledge of the backend systems.

The goal was straightforward: allow users to enter natural language queries and receive relevant video clips and metadata, all in seconds. This project wasn’t just about building a better search engine—it was about fundamentally rethinking how to manage and access large-scale video archives in the age of artificial intelligence (AI) and cloud computing. The engineering challenges were immense: the system needed to understand the nuances of sports-specific queries, handle real-time performance with massive datasets, and scale efficiently, particularly during high-traffic events like the Super Bowl. Enter Amazon Web Services (AWS). Using a combination of AWS cloud technologies, the NFL and AWS developed a cutting-edge AI-powered search tool to transform the way the NFL manages and interacts with its vast video archive.

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