Journey of a Snap on Snapchat Using AWS

Learn from Snap Inc. on how they rebuilt their cloud architecture for sending 5B+ Snaps Per Day on Snapchat and see the challenges they faced.

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Hearst Relies on Amazon Q to Support Its Users of AWS Landing Zones

With the recent adoption of AWS landing zones, AWS generative AI services enable Hearst to assist users via an intelligent chatbot, enabling them to focus on delivering business value.

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How LLMs in games can create unique player experience and reduce development time

LLMs within games and game backends can create unique player experiences and reduce development time for manual tasks, so companies can focus on creating the best game experience for their customers.

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Epic Games reduced physical barriers to create cutting-edge entertainment with AWS

As the creators of Unreal Engine and Fortnite, Epic Games has harnessed AWS scaled and advanced capabilities to push the limits of game development and online gaming.

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AWS helps Center for BrainHealth bring video game technology to patients

By leveraging the power of generative AI and cloud gaming, Center for BrainHealth used video game technology to help individuals practice developing social skills.

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How Sony Interactive Entertainment revolutionized cloud gaming with AWS

With AWS’s support, Sony Interactive Entertainment was able to scale its PlayStation™ Network Microservices to serve millions of players.

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Learn from Omeda Studios on how to streamline your game backend with AWS

Learn how by leveraging Amazon GameLift and Pragma, Omeda Studios was able to swap out their ‘Predecessor’ backend in under five months.

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Meet developers' most powerful gen AI assistant - Amazon Q

Amazon Q is with you as you read the AWS documentation, work in the AWS console, and even inside of your IDE. Learn about all the places you can use Amazon Q, and how to get started.

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Now available: Amazon Q Developer

We are announcing the general availability of Amazon Q Developer. With this announcement, we are sharing some updates and previewing additional capabilities.

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Introducing NHL's pivotal cloud-powered broadcasts

Learn more about the National Hockey League's (NHL) cloud-powered alternative broadcasts and experience the future of live sports today.

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Learn how Netflix built a massively scalable streaming platform on AWS

Netflix uses AWS for nearly all its computing and storage needs, including databases, analytics, recommendation engines, video transcoding, and more.

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FOX Corporation is reimagining media creation, distribution, and monetization on AWS

Leveraging the scale and reliability of AWS, FOX broadcasts thousands of events, like Super Bowl LIV, to millions of viewers, and fosters innovation by building new ways to produce and deliver media.

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How FOX is transforming media with AI/ML on AWS

In this video learn how the company is reimagining how the world interacts with media by creating more moments that matter by leveraging Generative AI, Machine Learning, and data solutions on AWS.

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Say goodbye to the constraints of traditional editing & unleash seamless video editing in the cloud

This solution brings collaborators together to publish content to preferred platforms using high-speed internet. Build a virtual, video editing environment on AWS.

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Delight customers by resolving their issues quickly across the channels they prefer

Deliver personalized and proactive automated and agent-assisted experiences.

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Monitor and improve your contact center performance with real-time artificial intelligence

Uncover trends, identify agent coaching needs, predict contact volumes, and optimize agent schedules.

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AWS learning paths for startups

Are you ready to grow your startup? Find the learning content, tools, support, and resources necessary to help your business flourish.

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Amazon Q Developer

Amazon Q Developer, now generally available, includes previews of new capabilities to reimagine in the developer experience.

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Amazon SageMaker Fridays

SageMaker Fridays demonstrate how any user including data scientists, ML engineers, and business analysts can quickly onboard to SageMaker and start generating accurate ML predictions.

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Get started with Amazon SageMaker

Follow along the hands-on tutorials to learn how to use Amazon SageMaker to accomplish various machine learning lifecycle tasks, including data preparation, training, deployment, and MLOps.

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NAMER MQL Acceleration Nurture External Assets