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The material also covers troubleshooting concepts such as buffering, redundancy, and systematic problem solving, then connects these to new feature development through user stories and artificial intelligence including machine learning and computer vision. 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How do people and technology monitor and respond to real-time issues that may arise during live sports streams? How does Amazon leverage machine learning and computer vision to enhance the broadcast experience?\u003Cbr>| |\n| --- | --- |\n\nVocabulary  \nStop 0: Intro  \nStreaming  \nDelivering content, such as live sports, over the internet in real-time without having to download the entire file.  \nStop 1: The Pathway of Data  \nInfrastructure  \nHardware, software, and people that work together to deliver a service.  \nHardware  \nThe physical part of the infrastructure that makes up a computing system.  \nEncode  \nThe process of converting data into a digital format that can stream over the internet.  \nContent Delivery Network (CDN)  \nA system of computers and servers spread out around the world that deliver content to users in different locations.  \nLatency  \nThe delay between the live event happens and when an audience views it.  \nDecode  \nUsing a device or software to convert a digital format into video and audio in real-time.  \nNetwork Traffic  \nThe number of user accessing the data at one time.  \nStop 2: Troubleshooting  \nBuffering  \nPre-loading bits of data to ensure a smooth video watching experience.  \nTroubleshooting  \nA systematic approach to finding and resolving a problem solving.  \nRedundancy  \nA system design in which a component is duplicated, so if it fails, there will be a backup.  \nVocabulary  \nStop 3: Building New Features  \nUser Stories  \nAn explanation of a feature from the perspective of the customer.  \nArtificial Intelligence  \nusing algorithms and machine learning to perform tasks that typically require human intelligence.  \nMachine Learning  \nThe science of getting computers to perform or make predictions based on examples or past experiences.  \nComputer Vision  \nA type of machine learning that enables a computer to interpret and understand information from images and videos.  \nIntro  \nPrime Video Sports: Behind the Streams Watch this Tour Stop in: Video 1 and Video 2  \n Pre-Stop Trivia Poll  \nWhat was the [first major U.S. sport](first major U.S. sport) to stream a regular season game?  \n[A. baseball](A. baseball)  \n[B. football](B. football)  \n[C. soccer](C. soccer) (fútbol)  \n[D. basketball](D. basketball)  \nIntro  \nPrime Video Sports: Behind the Streams  \nWatch this Tour Stop in: Video 1 and Video 2  \nHow do computer science, artificial intelligence, and people work together to bring reliable, high-quality sporting events to millions of people around the globe in real-time?  \nIn 1911, the landscape of sports changed forever when one thousand fans gathered in Lawrence, Kansas, for the first sports broadcast via telegraph. Broadcasting, the transmission of content over radio, television, or the internet, has since evolved dramatically. Today, fans around the world can stream high-definition sports events from anywhere, thanks to platforms like Amazon Prime Video Sports.  \nStreaming, which delivers content over the internet in real-time, has become the most popular way to consume video media. No longer do you have to be in a place with a TV and cable subscription to watch your favorite games. Whether you’re in an airplane, driving in a car, or in the middle of nowhere, if you have an internet connection, you can still watch your favorite sports!  \nIntro  \nPrime Video Sports: Behind the Streams  \nWatch this Tour Stop in: Video 1 and Video 2  \nLive sports events reach our devices through a complex network of hardware, software, and teamwork. The sports industry offers a wide range of career opportunities beyond just being an athlete, including roles in data analysis, engineering, broadcasting, and software development. Each role is essential in delivering the live sports experience to audiences world","cbCaia4JMCXDGRLl","https://ap.wps.com/l/cbCaia4JMCXDGRLl","pdf",526189,25,"English","# Key Student Learnings\n## Overarching Content Questions\n## Vocabulary\n### Stop 0: Intro\n### Stop 1: The Pathway of Data\n### Stop 2: Troubleshooting\n### Stop 3: Building New Features\n## Intro Narrative\n## Stop 0 Standards","[{\"question\":\"What software and hardware are required to deliver live sporting events in real time?\",\"answer\":\"Streaming relies on infrastructure that combines hardware, software, and people. Hardware supports devices in the computing system, while software enables encoding, decoding, and delivery over the internet via services such as a distributed CDN.\"},{\"question\":\"How do latency and network traffic affect live sports streaming?\",\"answer\":\"Latency is the delay between the live event and what the audience views. Network traffic reflects how many users access the data at the same time, influencing delivery conditions during streaming.\"},{\"question\":\"What troubleshooting approach is used when streaming problems occur?\",\"answer\":\"Troubleshooting uses a systematic method to find and resolve problems. Buffering supports smooth viewing by pre-loading data, and redundancy duplicates components so backups can take over if something fails.\"}]","Prime Video Sports - Behind the Streams - Key Student Learnings | PDF",1790836804,63]