AWS has launched Amazon Sumerian. Sumerian lets you create and run virtual reality (VR), augmented reality (AR), and 3D applications quickly and easily without requiring any specialized programming or 3D graphics expertise. In this session, we will introduce you to Sumerian, and how you can build highly immersive and interactive scenes for the enterprise that run on popular hardware such as Oculus Rift, HTC Vive, and iOS mobile devices.
Alexa State of the Science - ALX321 - 2h amazonwebservices Deep Dive into Ama...Amazon Web Services
Join us for the Golden Age of AI. The way that humans interact with machines is at an inflection point and conversational artificial intelligence (AI) is at the center of the transformation. Learn how Amazon is using machine learning and cloud computing to help fuel innovation in AI, making Alexa smarter every day. Alexa VP and Head Scientist Rohit Prasad presents the state of the science behind Amazon Alexa. He addresses advances in spoken language understanding and machine learning in Alexa, and shares how Amazon thinks about building the next generation of user experiences. He will announce the inaugural winner of the Alexa Prize and award the winning student team a check for $500,000.
NEW LAUNCH! Learn how Fubo is monetizing their content with server side ad in...Amazon Web Services
In this session, we will introduce server-side ad insertion, also known as ad stitching. Server side ad insertion helps you to deliver ads that are more relevant to your customers, and at the same time, helps bypass ad blockers and lower latency.
CMP314_Bringing Deep Learning to the Cloud with Amazon EC2Amazon Web Services
Join us as we explore how SigOpt is using AWS to optimize machine learning and AI pipelines. SigOpt is an Optimization-as-a-Service platform that seamlessly tunes model configuration parameters through via an ensemble of optimization algorithms behind a simple API. This results in captured performance that may otherwise be left on the table by conventional techniques while also reducing the time and cost for developing and optimizing new models. In this session, you will learn how SigOpt has optimized ML and AI pipelines on Amazon EC2 instances for various algorithms (including the latest generation of GPU optimized instances), as well as how they internally leverage AWS to build their flexible and scalable platform and evaluation framework
NEW LAUNCH! Driving Dynamically Animated Characters in VR/AR Applications Usi...Amazon Web Services
AWS has launched Amazon Sumerian. Sumerian lets you create and run virtual reality (VR), augmented reality (AR), and 3D applications quickly and easily without requiring any specialized programming or 3D graphics expertise. We’ll explore the basics of Amazon Sumerian’s animation system, in conjunction with Amazon Polly. We will also create a project using Sumerian Hosts and learn how to easily add dynamically animated characters to mixed reality experiences.
ATC303-Cache Me If You Can Minimizing Latency While Optimizing Cost Through A...Amazon Web Services
From CloudFront to ElastiCache to DynamoDB Accelerator (DAX), this is your one-stop shop for learning how to apply caching methods to your AdTech workload: What data to cache and why? What are common side effects and pitfalls when caching? What is negative caching and how can it help you maximize your cache hit rate? How to use DynamoDB Accelerator in practice? How can you ensure that data always stays current in your cache? These and many more topics will be discussed in depth during this talk and we’ll share lessons learned from Team Internet, the leading provider in domain monetization.
NEW LAUNCH! Hear how the Pac-12 is using AWS Elemental MediaStore and explore...Amazon Web Services
A shift is taking place in how live events are broadcast to audiences. Although there will always be a place for on-premises video infrastructure, cloud-based services for live broadcast now match the capabilities of on-premises hardware, are easy to use, and save time and money. This session highlights AWS services for live broadcast workflows and the components required for successful delivery of live events to video consumers.
Topics include:
• Video delivery
• Workflow resiliency in the cloud
• Customer applications and use cases
• Live broadcast of periodic events and 24/7 channels
Driving effective Digital User Engagement using Analytics, Push Notifications...Amazon Web Services
This session describes the importance of digital user engagement using multi-channel messaging to drive effective end-user messaging. Mobile push notifications, SMS text messages, and email help you engage with users and drive your desired business outcomes through improved KPIs that are important for your business. Better user engagement helps drive increased conversions and improve retention for your business.
Deep Learning continues to push the state of the art in domains such as computer vision, natural language understanding, and recommendation engines. In this session, we provide an overview of Deep Learning focusing on relevant application domains. We introduce popular Deep Learning frameworks such as TensorFlow and Apache MXNet, and we discuss how to select the right fit for your targeted use cases. We also walk you through other key considerations for optimizing Deep Learning training and inference, including setting up and scaling your infrastructure on AWS.
Alexa State of the Science - ALX321 - 2h amazonwebservices Deep Dive into Ama...Amazon Web Services
Join us for the Golden Age of AI. The way that humans interact with machines is at an inflection point and conversational artificial intelligence (AI) is at the center of the transformation. Learn how Amazon is using machine learning and cloud computing to help fuel innovation in AI, making Alexa smarter every day. Alexa VP and Head Scientist Rohit Prasad presents the state of the science behind Amazon Alexa. He addresses advances in spoken language understanding and machine learning in Alexa, and shares how Amazon thinks about building the next generation of user experiences. He will announce the inaugural winner of the Alexa Prize and award the winning student team a check for $500,000.
NEW LAUNCH! Learn how Fubo is monetizing their content with server side ad in...Amazon Web Services
In this session, we will introduce server-side ad insertion, also known as ad stitching. Server side ad insertion helps you to deliver ads that are more relevant to your customers, and at the same time, helps bypass ad blockers and lower latency.
CMP314_Bringing Deep Learning to the Cloud with Amazon EC2Amazon Web Services
Join us as we explore how SigOpt is using AWS to optimize machine learning and AI pipelines. SigOpt is an Optimization-as-a-Service platform that seamlessly tunes model configuration parameters through via an ensemble of optimization algorithms behind a simple API. This results in captured performance that may otherwise be left on the table by conventional techniques while also reducing the time and cost for developing and optimizing new models. In this session, you will learn how SigOpt has optimized ML and AI pipelines on Amazon EC2 instances for various algorithms (including the latest generation of GPU optimized instances), as well as how they internally leverage AWS to build their flexible and scalable platform and evaluation framework
NEW LAUNCH! Driving Dynamically Animated Characters in VR/AR Applications Usi...Amazon Web Services
AWS has launched Amazon Sumerian. Sumerian lets you create and run virtual reality (VR), augmented reality (AR), and 3D applications quickly and easily without requiring any specialized programming or 3D graphics expertise. We’ll explore the basics of Amazon Sumerian’s animation system, in conjunction with Amazon Polly. We will also create a project using Sumerian Hosts and learn how to easily add dynamically animated characters to mixed reality experiences.
ATC303-Cache Me If You Can Minimizing Latency While Optimizing Cost Through A...Amazon Web Services
From CloudFront to ElastiCache to DynamoDB Accelerator (DAX), this is your one-stop shop for learning how to apply caching methods to your AdTech workload: What data to cache and why? What are common side effects and pitfalls when caching? What is negative caching and how can it help you maximize your cache hit rate? How to use DynamoDB Accelerator in practice? How can you ensure that data always stays current in your cache? These and many more topics will be discussed in depth during this talk and we’ll share lessons learned from Team Internet, the leading provider in domain monetization.
NEW LAUNCH! Hear how the Pac-12 is using AWS Elemental MediaStore and explore...Amazon Web Services
A shift is taking place in how live events are broadcast to audiences. Although there will always be a place for on-premises video infrastructure, cloud-based services for live broadcast now match the capabilities of on-premises hardware, are easy to use, and save time and money. This session highlights AWS services for live broadcast workflows and the components required for successful delivery of live events to video consumers.
Topics include:
• Video delivery
• Workflow resiliency in the cloud
• Customer applications and use cases
• Live broadcast of periodic events and 24/7 channels
Driving effective Digital User Engagement using Analytics, Push Notifications...Amazon Web Services
This session describes the importance of digital user engagement using multi-channel messaging to drive effective end-user messaging. Mobile push notifications, SMS text messages, and email help you engage with users and drive your desired business outcomes through improved KPIs that are important for your business. Better user engagement helps drive increased conversions and improve retention for your business.
Deep Learning continues to push the state of the art in domains such as computer vision, natural language understanding, and recommendation engines. In this session, we provide an overview of Deep Learning focusing on relevant application domains. We introduce popular Deep Learning frameworks such as TensorFlow and Apache MXNet, and we discuss how to select the right fit for your targeted use cases. We also walk you through other key considerations for optimizing Deep Learning training and inference, including setting up and scaling your infrastructure on AWS.
NEW LAUNCH! Building Virtual Reality and Augmented Reality Applications with ...Amazon Web Services
AWS has launched Amazon Sumerian. Sumerian lets you create and run virtual reality (VR), augmented reality (AR), and 3D applications quickly and easily without requiring any specialized programming or 3D graphics expertise. In this workshop, you will learn how to use Sumerian to build a scene viewable in WebVR. We will cover the Sumerian interface, asset management and adding those assets to scenes. You will learn how to manipulating the assets, add behaviors to objects you placed in the scene and connect to AWS services. Then we will publish your scene.
Oracle Enterprise Solutions on AWS - ENT326 - re:Invent 2017Amazon Web Services
Oracle enterprise applications and middleware such as E-Business Suite, PeopleSoft, Siebel, and WebLogic are central to many IT departments. They often require complex deployments that can greatly benefit from the flexibility, scalability, and security of the cloud. In this session, we discuss architecture patterns and best practices for migrating these applications to and running these applications on AWS. We cover how to work with Oracle enterprise applications and multiple services including Amazon RDS, AWS Database Migration Service, Amazon Elastic File System, and AWS CloudFormation. As part of this, we show examples of successful customer deployments.
Introducing Service Discovery for Amazon ECS - CON403 - re:Invent 2017Amazon Web Services
Starting January 2018, Amazon ECS will have a native Service Discovery experience for container-based applications. This feature enables developers to look up service dependencies using a friendly and predictable DNS name. In this session, we'll deep dive into ECS Service Discovery, how it will work, and why we built it.
NEW LAUNCH! Amazon Rekognition Video eliminates manual cataloging of video wh...Amazon Web Services
During this session, we will provide an overview of Amazon Rekognition Video, a deep learning powered video analysis service that tracks people, detects activities, and recognizes objects, celebrities, and inappropriate content. Amazon Rekognition Video can detect and recognize faces in live streams. Rekognition Video also analyzes existing video stored in Amazon S3 and returns specific labels of activities, people and faces, and objects with time stamps so you can easily locate the scene. For people and faces, it also returns the bounding box, which is the specific location of the person or face in the frame. We will also cover different use cases for Amazon Rekognition Video in applications such as security and public safety, and media and entertainment.
NEW LAUNCH! Amazon EC2 Bare Metal Instances - CMP330 - re:Invent 2017Amazon Web Services
When Amazon EC2 launched in 2006 there was a single instance size: m1.small. Over the past eleven years EC2 has evolved to provide an extensive selection of compute resources to customers including specialized resources such as NVMe SSDs, GPUs, and FPGAs. Under the hood, the servers used to host EC2 instances have transformed from off the shelf designs running virtualization software on the host CPUs to purpose built servers with AWS network and storage components implemented in hardware. Now we are happy to announce a new category of EC2 instances: Amazon EC2 Bare Metal Instances. These instances provide customers access to the physical compute resources of the host processors along with the security, scale, and services of EC2. This session will provide an overview of Bare Metal instances, how VMware used EC2 Bare Metal instances to build VMware Cloud on AWS, and other customer use cases for this new EC2 capability.
NEW LAUNCH! Building Smart Conference Rooms with Alexa for Business - BAP309 ...Amazon Web Services
Alexa for Business allows you to use Alexa-enabled devices to transform your conference rooms. Using simple voice skills, you can control the conference room environment, start online meetings, turn on video projectors, and more. In thiAlexa for Business allows you to use Alexa-enabled devices to transform your conference rooms. Using simple voice skills, you can control the conference room environment, start online meetings, turn on video projectors, and more. In this session, we'll walk through the Alexa-enabled conference room, and show you how you can use Alexa for Business to specify device locations, connect to conference room calendars, and provide access to meeting-specific skills. session, we'll walk through the Alexa-enabled conference room, and show you how you can use Alexa for Business to specify device locations, connect to conference room calendars, and provide access to meeting-specific skills.
In this session, we cover Alexa’s reach into smart devices integration, both inside and outside the home. Learn how your product can become part of the Alexa smart devices family and how you can easily bring Alexa to your business or home.
Training Chatbots and Conversational Artificial Intelligence Agents with Amaz...Amazon Web Services
Building a conversational AI experience that can respond to a wide variety of inputs and situations depends on gathering high-quality, relevant training data. Dialog with humans is an important part of this training process. In this session, learn how researchers at Facebook use Amazon Mechanical Turk within the ParlAI (pronounced “parlay”) framework for training and evaluating AI models to perform data collection, human training, and human evaluation. Learn how you can use this interface to gather high-quality training data to build next-generation chatbots and conversational agents.
MCL308_Using a Digital Assistant in the Enterprise for Business ProductivityAmazon Web Services
Enterprises must transform at the pace of technology. Through chatbots built with Amazon Lex, enterprises are improving business productivity, reducing execution time, and taking advantage of efficiency savings for common operational requests. These include inventory management, human resources requests, self-service analytics, and even the onboarding of new employees. In this session, learn how Infor integrated Amazon Lex into their standard technology stack, with several use cases based on advisory, assistant, and automation roles deeply rooted in their expanding AI strategy. This strategy powers one of the major functionalities of Infor Coleman to enable their users to make business decisions more quickly.
NEW LAUNCH! Push Intelligence to the edge with Greengrass - IOT209 - re:Inven...Amazon Web Services
Autonomous cars need to identify road signs in real time, drones need to recognize objects with or without network connectivity. In this breakout session, you will learn what is machine learning (ML) inference at the edge and why it matters. We will show you how to use AWS Greengrass to locate cloud trained machine learning models, deploy them to your Greengrass devices, enable access to on-device GPU or FPGA, and apply the models to locally generated data without a need for connection to the cloud.
NEW LAUNCH! Deep dive on Amazon Neptune - DAT318 - re:Invent 2017Amazon Web Services
Amazon Neptune is a fully managed graph database service which has been built ground up for handling rich highly connected data. Graph databases have diverse use cases across multiple industries; examples include recommendation engines, knowledge graphs, fraud detection, social networks, network management and life sciences. Amazon Neptune is open and flexible with support for Apache TinkerPop and RDF/SPARQL standards. Under the hood Neptune uses the same foundational building blocks as Amazon Aurora which gives it high performance, availability and durability. In this session, we will do a deep dive into capabilities, performance and key innovations in Amazon Neptune.
Building Best Practices and the Right Foundation for your 1st Production Work...Amazon Web Services
Cloud computing gives you a number of advantages, such as the ability to scale your web application or website on demand. Join us in this session to understand best practices for scaling your resources from zero to millions of users. We show you how to take your first steps on the AWS Cloud, explain how to make smarter decisions for architecting your application, and demonstrate the best way to scale your infrastructure.
MCL206-Creating Next Generation Speech-Enabled Applications with Amazon PollyAmazon Web Services
Amazon Polly is a service that turns text into lifelike speech, making it easy to develop applications that use high-quality speech to increase engagement and accessibility. Get a glimpse into successful applications that use Amazon Polly text-to-speech service to enable an app to talk to its users. Attendees will benefit from understanding real-world business use cases, and learn how to add feature-rich voice capabilities to their new or existing applications.
In this workshop, you get a fully working mobile game that includes common mobile game features, such as authentication, DLC, gifting, leaderboards, and analytics. However, nothing on the server side is built yet. It’s a time for you to breathe life into the game by using the given AWS Lambda code and other AWS services. To do this, bring your own laptop and at least a basic understanding of several AWS services: Amazon Cognito, AWS Lambda, Amazon API Gateway, Amazon S3, Amazon CloudFront, Amazon DynamoDB, Amazon SNS, Amazon SQS, Amazon Kinesis, and Amazon Mobile Analytics.
CTD403_Supercharge Your Websites with the Power of Lambda@EdgeAmazon Web Services
Join us for a hands-on session on using Lambda@Edge and Amazon CloudFront to deliver high-performance and personalized experience to your Internet users across the globe. You will walk away with a working setup of combining Amazon S3, Amazon DynamoDB, and Amazon CloudFront with Lambda@Edge to build websites which are simultaneously hosted across AWS locations across the world. We will explore architecture, configuration, and dev-ops with real examples of how AWS customers are using Lambda@Edge for their websites.
Learn how to containerize common tools used in genomics for use on Amazon ECS, and then orchestrate workflows using these containerized tools with AWS Batch and AWS Step Functions. Participants have the opportunity to deploy a primary and secondary sequencing analysis workflow on AWS and learn some of the best practices for AWS Batch and Step Functions.
RET305-Turbo Charge Your E-Commerce Site wAmazon Cache and Search Solutions.pdfAmazon Web Services
In this retail-focused workshop, we review and solve some of the common technical challenges that retailers face. These include scaling their backend databases to accommodate fluctuating demand and enabling full-text product search to achieve more relevant product search results. Bring your laptops, because after reviewing the proposed solutions, you can get hands-on with Amazon ElastiCache for Redis and see how easy it is to reduce the cost and pressure to your backend database, while dramatically improving the performance. We also show how you can leverage the Amazon Elasticsearch Service for building a full-text search solution.
Patterns and Considerations in Service Discovery - Con327 - re:Invent 2017Amazon Web Services
Roven Drabo, head of cloud operations at Kaplan Test Prep, illustrates Kaplan’s complete container automation solution using Amazon ECS along with how his team uses Nginx and HashiCorp Consul to provide an automated approach to service discovery and container provisioning.
Slides from my talk at the first AWS Community Day in Bangalore
https://www.meetup.com/awsugblr/events/243819403/
Speaker notes: https://medium.com/@adhorn/10-lessons-from-10-years-of-aws-part-1-258b56703fcf
and https://medium.com/@adhorn/10-lessons-from-10-years-of-aws-part-2-5dd92b533870
The list is not in any particular order :)
Keith Steward - SageMaker Algorithms Infinitely Scalable Machine Learning_VK.pdfAmazon Web Services
Amazon SageMaker is a fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning (ML) models, at any scale. Amazon SageMaker provides high-performance, machine learning algorithms optimized for speed, scale, and accuracy, to perform training on petabyte-scale data sets. This webinar will introduce you to the collection of distributed streaming ML algorithms that come with Amazon SageMaker. You will learn about the difference between streaming and batch ML algorithms, and how SageMaker has been architected to run these algorithms at scale. We will demo Neural Topic Modeling of text documents using a sample SageMaker Notebook, which will be made available to attendees.
NEW LAUNCH! Building Virtual Reality and Augmented Reality Applications with ...Amazon Web Services
AWS has launched Amazon Sumerian. Sumerian lets you create and run virtual reality (VR), augmented reality (AR), and 3D applications quickly and easily without requiring any specialized programming or 3D graphics expertise. In this workshop, you will learn how to use Sumerian to build a scene viewable in WebVR. We will cover the Sumerian interface, asset management and adding those assets to scenes. You will learn how to manipulating the assets, add behaviors to objects you placed in the scene and connect to AWS services. Then we will publish your scene.
Oracle Enterprise Solutions on AWS - ENT326 - re:Invent 2017Amazon Web Services
Oracle enterprise applications and middleware such as E-Business Suite, PeopleSoft, Siebel, and WebLogic are central to many IT departments. They often require complex deployments that can greatly benefit from the flexibility, scalability, and security of the cloud. In this session, we discuss architecture patterns and best practices for migrating these applications to and running these applications on AWS. We cover how to work with Oracle enterprise applications and multiple services including Amazon RDS, AWS Database Migration Service, Amazon Elastic File System, and AWS CloudFormation. As part of this, we show examples of successful customer deployments.
Introducing Service Discovery for Amazon ECS - CON403 - re:Invent 2017Amazon Web Services
Starting January 2018, Amazon ECS will have a native Service Discovery experience for container-based applications. This feature enables developers to look up service dependencies using a friendly and predictable DNS name. In this session, we'll deep dive into ECS Service Discovery, how it will work, and why we built it.
NEW LAUNCH! Amazon Rekognition Video eliminates manual cataloging of video wh...Amazon Web Services
During this session, we will provide an overview of Amazon Rekognition Video, a deep learning powered video analysis service that tracks people, detects activities, and recognizes objects, celebrities, and inappropriate content. Amazon Rekognition Video can detect and recognize faces in live streams. Rekognition Video also analyzes existing video stored in Amazon S3 and returns specific labels of activities, people and faces, and objects with time stamps so you can easily locate the scene. For people and faces, it also returns the bounding box, which is the specific location of the person or face in the frame. We will also cover different use cases for Amazon Rekognition Video in applications such as security and public safety, and media and entertainment.
NEW LAUNCH! Amazon EC2 Bare Metal Instances - CMP330 - re:Invent 2017Amazon Web Services
When Amazon EC2 launched in 2006 there was a single instance size: m1.small. Over the past eleven years EC2 has evolved to provide an extensive selection of compute resources to customers including specialized resources such as NVMe SSDs, GPUs, and FPGAs. Under the hood, the servers used to host EC2 instances have transformed from off the shelf designs running virtualization software on the host CPUs to purpose built servers with AWS network and storage components implemented in hardware. Now we are happy to announce a new category of EC2 instances: Amazon EC2 Bare Metal Instances. These instances provide customers access to the physical compute resources of the host processors along with the security, scale, and services of EC2. This session will provide an overview of Bare Metal instances, how VMware used EC2 Bare Metal instances to build VMware Cloud on AWS, and other customer use cases for this new EC2 capability.
NEW LAUNCH! Building Smart Conference Rooms with Alexa for Business - BAP309 ...Amazon Web Services
Alexa for Business allows you to use Alexa-enabled devices to transform your conference rooms. Using simple voice skills, you can control the conference room environment, start online meetings, turn on video projectors, and more. In thiAlexa for Business allows you to use Alexa-enabled devices to transform your conference rooms. Using simple voice skills, you can control the conference room environment, start online meetings, turn on video projectors, and more. In this session, we'll walk through the Alexa-enabled conference room, and show you how you can use Alexa for Business to specify device locations, connect to conference room calendars, and provide access to meeting-specific skills. session, we'll walk through the Alexa-enabled conference room, and show you how you can use Alexa for Business to specify device locations, connect to conference room calendars, and provide access to meeting-specific skills.
In this session, we cover Alexa’s reach into smart devices integration, both inside and outside the home. Learn how your product can become part of the Alexa smart devices family and how you can easily bring Alexa to your business or home.
Training Chatbots and Conversational Artificial Intelligence Agents with Amaz...Amazon Web Services
Building a conversational AI experience that can respond to a wide variety of inputs and situations depends on gathering high-quality, relevant training data. Dialog with humans is an important part of this training process. In this session, learn how researchers at Facebook use Amazon Mechanical Turk within the ParlAI (pronounced “parlay”) framework for training and evaluating AI models to perform data collection, human training, and human evaluation. Learn how you can use this interface to gather high-quality training data to build next-generation chatbots and conversational agents.
MCL308_Using a Digital Assistant in the Enterprise for Business ProductivityAmazon Web Services
Enterprises must transform at the pace of technology. Through chatbots built with Amazon Lex, enterprises are improving business productivity, reducing execution time, and taking advantage of efficiency savings for common operational requests. These include inventory management, human resources requests, self-service analytics, and even the onboarding of new employees. In this session, learn how Infor integrated Amazon Lex into their standard technology stack, with several use cases based on advisory, assistant, and automation roles deeply rooted in their expanding AI strategy. This strategy powers one of the major functionalities of Infor Coleman to enable their users to make business decisions more quickly.
NEW LAUNCH! Push Intelligence to the edge with Greengrass - IOT209 - re:Inven...Amazon Web Services
Autonomous cars need to identify road signs in real time, drones need to recognize objects with or without network connectivity. In this breakout session, you will learn what is machine learning (ML) inference at the edge and why it matters. We will show you how to use AWS Greengrass to locate cloud trained machine learning models, deploy them to your Greengrass devices, enable access to on-device GPU or FPGA, and apply the models to locally generated data without a need for connection to the cloud.
NEW LAUNCH! Deep dive on Amazon Neptune - DAT318 - re:Invent 2017Amazon Web Services
Amazon Neptune is a fully managed graph database service which has been built ground up for handling rich highly connected data. Graph databases have diverse use cases across multiple industries; examples include recommendation engines, knowledge graphs, fraud detection, social networks, network management and life sciences. Amazon Neptune is open and flexible with support for Apache TinkerPop and RDF/SPARQL standards. Under the hood Neptune uses the same foundational building blocks as Amazon Aurora which gives it high performance, availability and durability. In this session, we will do a deep dive into capabilities, performance and key innovations in Amazon Neptune.
Building Best Practices and the Right Foundation for your 1st Production Work...Amazon Web Services
Cloud computing gives you a number of advantages, such as the ability to scale your web application or website on demand. Join us in this session to understand best practices for scaling your resources from zero to millions of users. We show you how to take your first steps on the AWS Cloud, explain how to make smarter decisions for architecting your application, and demonstrate the best way to scale your infrastructure.
MCL206-Creating Next Generation Speech-Enabled Applications with Amazon PollyAmazon Web Services
Amazon Polly is a service that turns text into lifelike speech, making it easy to develop applications that use high-quality speech to increase engagement and accessibility. Get a glimpse into successful applications that use Amazon Polly text-to-speech service to enable an app to talk to its users. Attendees will benefit from understanding real-world business use cases, and learn how to add feature-rich voice capabilities to their new or existing applications.
In this workshop, you get a fully working mobile game that includes common mobile game features, such as authentication, DLC, gifting, leaderboards, and analytics. However, nothing on the server side is built yet. It’s a time for you to breathe life into the game by using the given AWS Lambda code and other AWS services. To do this, bring your own laptop and at least a basic understanding of several AWS services: Amazon Cognito, AWS Lambda, Amazon API Gateway, Amazon S3, Amazon CloudFront, Amazon DynamoDB, Amazon SNS, Amazon SQS, Amazon Kinesis, and Amazon Mobile Analytics.
CTD403_Supercharge Your Websites with the Power of Lambda@EdgeAmazon Web Services
Join us for a hands-on session on using Lambda@Edge and Amazon CloudFront to deliver high-performance and personalized experience to your Internet users across the globe. You will walk away with a working setup of combining Amazon S3, Amazon DynamoDB, and Amazon CloudFront with Lambda@Edge to build websites which are simultaneously hosted across AWS locations across the world. We will explore architecture, configuration, and dev-ops with real examples of how AWS customers are using Lambda@Edge for their websites.
Learn how to containerize common tools used in genomics for use on Amazon ECS, and then orchestrate workflows using these containerized tools with AWS Batch and AWS Step Functions. Participants have the opportunity to deploy a primary and secondary sequencing analysis workflow on AWS and learn some of the best practices for AWS Batch and Step Functions.
RET305-Turbo Charge Your E-Commerce Site wAmazon Cache and Search Solutions.pdfAmazon Web Services
In this retail-focused workshop, we review and solve some of the common technical challenges that retailers face. These include scaling their backend databases to accommodate fluctuating demand and enabling full-text product search to achieve more relevant product search results. Bring your laptops, because after reviewing the proposed solutions, you can get hands-on with Amazon ElastiCache for Redis and see how easy it is to reduce the cost and pressure to your backend database, while dramatically improving the performance. We also show how you can leverage the Amazon Elasticsearch Service for building a full-text search solution.
Patterns and Considerations in Service Discovery - Con327 - re:Invent 2017Amazon Web Services
Roven Drabo, head of cloud operations at Kaplan Test Prep, illustrates Kaplan’s complete container automation solution using Amazon ECS along with how his team uses Nginx and HashiCorp Consul to provide an automated approach to service discovery and container provisioning.
Slides from my talk at the first AWS Community Day in Bangalore
https://www.meetup.com/awsugblr/events/243819403/
Speaker notes: https://medium.com/@adhorn/10-lessons-from-10-years-of-aws-part-1-258b56703fcf
and https://medium.com/@adhorn/10-lessons-from-10-years-of-aws-part-2-5dd92b533870
The list is not in any particular order :)
Keith Steward - SageMaker Algorithms Infinitely Scalable Machine Learning_VK.pdfAmazon Web Services
Amazon SageMaker is a fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning (ML) models, at any scale. Amazon SageMaker provides high-performance, machine learning algorithms optimized for speed, scale, and accuracy, to perform training on petabyte-scale data sets. This webinar will introduce you to the collection of distributed streaming ML algorithms that come with Amazon SageMaker. You will learn about the difference between streaming and batch ML algorithms, and how SageMaker has been architected to run these algorithms at scale. We will demo Neural Topic Modeling of text documents using a sample SageMaker Notebook, which will be made available to attendees.
SageMaker Algorithms Infinitely Scalable Machine LearningAmazon Web Services
Amazon SageMaker is a fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning (ML) models, at any scale. Amazon SageMaker provides high-performance, machine learning algorithms optimized for speed, scale, and accuracy, to perform training on petabyte-scale data sets. This webinar will introduce you to the collection of distributed streaming ML algorithms that come with Amazon SageMaker. You will learn about the difference between streaming and batch ML algorithms, and how SageMaker has been architected to run these algorithms at scale. We will demo Neural Topic Modeling of text documents using a sample SageMaker Notebook, which will be made available to attendees.
Level: 300-400
Speaker: Binoy Das - Partner Solutions Architect, AWS
Working with Amazon SageMaker Algorithms for Faster Model TrainingAmazon Web Services
Amazon SageMaker is a fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning (ML) models, at any scale. Amazon SageMaker provides high-performance, machine learning algorithms optimized for speed, scale, and accuracy, to perform training on petabyte-scale data sets. This webinar will introduce you to the collection of distributed streaming ML algorithms that come with Amazon SageMaker. You will learn about the difference between streaming and batch ML algorithms, and how SageMaker has been architected to run these algorithms at scale. We will demo Neural Topic Modeling of text documents using a sample SageMaker Notebook, which will be made available to attendees.
Building the Organisation of the Future: Leveraging Artificial Intelligence a...Amazon Web Services
Artificial intelligence and machine learning are no longer the stuff of science fiction. Organisations of all sizes are using these tools to create innovative artificial intelligences applications – namely, Amazon.com's own retail experience. Join us for an inside look at how Amazon thinks about this technology, and hear from Skinvision on how they’re using machine learning for early skin-cancer detection. Through these stories, gain insight into a range of new machine learning services on AWS for use in your own business.
Breght Boschker, CTO, Skinvision
Miguel Rojo Rossi, Solutions Architect Lead, AWS
by Leo Chan, Sr. Software Developmental Engineer, AWS
During this time, we’ll explore the basics of Amazon Sumerian’s animation system, in conjunction with Amazon Polly. We will also add a Sumerian Host to the scene and learn how to easily add dynamically animate characters in AR/VR experiences.
Devoxx: Building AI-powered applications on AWSAdrian Hornsby
Slides from my talk at devoxx2018
The video: https://www.youtube.com/watch?v=-izfBVlHkSc
https://cfp.devoxx.be/2017/talk/XEO-9942/Building_Serverless_AI-powered_Applications_on_AWS
How serverless helps startups innovate and scaleGabe Hollombe
An overview of what it means to be 'Serverless', reasons why Serverless is a good way to develop and deploy software, and examples for apps, analytics, and devops.
Bringing Characters to Life with Amazon Polly Text-to-Speech - AWS Online Tec...Amazon Web Services
Learning Objectives:
- Using Text-to-Speech to voice characters in game production, i.e. character speech animation
- Amazon Polly & Lumberyard integration
- Learn how to create lip-syncing avatars, karaoke style text highlighting, and integrate speech capabilities into the gaming engines
Machine Learning State of the Union - MCL210 - re:Invent 2017Amazon Web Services
Join us to hear about our strategy for driving machine learning innovation for our customers and learn what’s new from AWS in the machine learning space. Swami Sivasubramanian, VP of Amazon Machine Learning, will discuss and demonstrate the latest new services for ML on AWS: Amazon SageMaker, AWS DeepLens, Amazon Rekogntion Video, Amazon Translate, Amazon Transcribe, and Amazon Comprehend. Attend this session to understand how to make the most of machine learning in the cloud.
Learn how to easily add Amazon AI services to your own applications. Find out how to access image and video analysis, text to speech, speech to text, translation, natural language processing: all of which are just an API call away. You'll learn about Amazon SageMaker, Amazon Translate, Amazon Polly, Amazon Transcribe, Amazon Comprehend, Amazon Rekognition, we'll show you how to quickly get started with these services, with zero AI expertise required.
Speaker: François-Xavier Gsell, Solutions Architect, Amazon Web Services
Use Amazon Rekognition to Build a Facial Recognition SystemAmazon Web Services
by Kashif Imran
Amazon Rekognition makes it easy to extract meaningful metadata from visual content. In this workshop, you will work in teams to build a simple system to help track missing persons. You'll develop a solution that leverages Amazon Rekognition and other AWS services to analyze images from various sources (e.g., social media) and provide authorities with timely reports and alerts on new leads for missing individuals. The solution will entail a repeatable and automated process that follows best practices for architecting in the cloud, such as designing for high availability and scalability.
Use Amazon Rekognition to Build a Facial Recognition SystemAmazon Web Services
Amazon Rekognition makes it easy to extract meaningful metadata from visual content. In this workshop, you will work in teams to build a simple system to help track missing persons. You’ll develop a solution that leverages Amazon Rekognition and other AWS services to analyze images from various sources (e.g., social media) and provide authorities with timely reports and alerts on new leads for missing individuals. The solution will entail a repeatable and automated process that follows best practices for architecting in the cloud, such as designing for high availability and scalability.
Use Amazon Rekognition to Build a Facial Recognition SystemAmazon Web Services
Amazon Rekognition makes it easy to extract meaningful metadata from visual content. In this workshop, you will work in teams to build a simple system to help track missing persons. You’ll develop a solution that leverages Amazon Rekognition and other AWS services to analyze images from various sources (e.g., social media) and provide authorities with timely reports and alerts on new leads for missing individuals. The solution will entail a repeatable and automated process that follows best practices for architecting in the cloud, such as designing for high availability and scalability.
Similar to NEW LAUNCH! Introducing Amazon Sumerian – Build VR/AR and 3D Applications - MCL211 - re:Invent 2017 (20)
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...Amazon Web Services
Il Forecasting è un processo importante per tantissime aziende e viene utilizzato in vari ambiti per cercare di prevedere in modo accurato la crescita e distribuzione di un prodotto, l’utilizzo delle risorse necessarie nelle linee produttive, presentazioni finanziarie e tanto altro. Amazon utilizza delle tecniche avanzate di forecasting, in parte questi servizi sono stati messi a disposizione di tutti i clienti AWS.
In questa sessione illustreremo come pre-processare i dati che contengono una componente temporale e successivamente utilizzare un algoritmo che a partire dal tipo di dato analizzato produce un forecasting accurato.
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...Amazon Web Services
La varietà e la quantità di dati che si crea ogni giorno accelera sempre più velocemente e rappresenta una opportunità irripetibile per innovare e creare nuove startup.
Tuttavia gestire grandi quantità di dati può apparire complesso: creare cluster Big Data su larga scala sembra essere un investimento accessibile solo ad aziende consolidate. Ma l’elasticità del Cloud e, in particolare, i servizi Serverless ci permettono di rompere questi limiti.
Vediamo quindi come è possibile sviluppare applicazioni Big Data rapidamente, senza preoccuparci dell’infrastruttura, ma dedicando tutte le risorse allo sviluppo delle nostre le nostre idee per creare prodotti innovativi.
Ora puoi utilizzare Amazon Elastic Kubernetes Service (EKS) per eseguire pod Kubernetes su AWS Fargate, il motore di elaborazione serverless creato per container su AWS. Questo rende più semplice che mai costruire ed eseguire le tue applicazioni Kubernetes nel cloud AWS.In questa sessione presenteremo le caratteristiche principali del servizio e come distribuire la tua applicazione in pochi passaggi
Vent'anni fa Amazon ha attraversato una trasformazione radicale con l'obiettivo di aumentare il ritmo dell'innovazione. In questo periodo abbiamo imparato come cambiare il nostro approccio allo sviluppo delle applicazioni ci ha permesso di aumentare notevolmente l'agilità, la velocità di rilascio e, in definitiva, ci ha consentito di creare applicazioni più affidabili e scalabili. In questa sessione illustreremo come definiamo le applicazioni moderne e come la creazione di app moderne influisce non solo sull'architettura dell'applicazione, ma sulla struttura organizzativa, sulle pipeline di rilascio dello sviluppo e persino sul modello operativo. Descriveremo anche approcci comuni alla modernizzazione, compreso l'approccio utilizzato dalla stessa Amazon.com.
Come spendere fino al 90% in meno con i container e le istanze spot Amazon Web Services
L’utilizzo dei container è in continua crescita.
Se correttamente disegnate, le applicazioni basate su Container sono molto spesso stateless e flessibili.
I servizi AWS ECS, EKS e Kubernetes su EC2 possono sfruttare le istanze Spot, portando ad un risparmio medio del 70% rispetto alle istanze On Demand. In questa sessione scopriremo insieme quali sono le caratteristiche delle istanze Spot e come possono essere utilizzate facilmente su AWS. Impareremo inoltre come Spreaker sfrutta le istanze spot per eseguire applicazioni di diverso tipo, in produzione, ad una frazione del costo on-demand!
In recent months, many customers have been asking us the question – how to monetise Open APIs, simplify Fintech integrations and accelerate adoption of various Open Banking business models. Therefore, AWS and FinConecta would like to invite you to Open Finance marketplace presentation on October 20th.
Event Agenda :
Open banking so far (short recap)
• PSD2, OB UK, OB Australia, OB LATAM, OB Israel
Intro to Open Finance marketplace
• Scope
• Features
• Tech overview and Demo
The role of the Cloud
The Future of APIs
• Complying with regulation
• Monetizing data / APIs
• Business models
• Time to market
One platform for all: a Strategic approach
Q&A
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...Amazon Web Services
Per creare valore e costruire una propria offerta differenziante e riconoscibile, le startup di successo sanno come combinare tecnologie consolidate con componenti innovativi creati ad hoc.
AWS fornisce servizi pronti all'utilizzo e, allo stesso tempo, permette di personalizzare e creare gli elementi differenzianti della propria offerta.
Concentrandoci sulle tecnologie di Machine Learning, vedremo come selezionare i servizi di intelligenza artificiale offerti da AWS e, anche attraverso una demo, come costruire modelli di Machine Learning personalizzati utilizzando SageMaker Studio.
OpsWorks Configuration Management: automatizza la gestione e i deployment del...Amazon Web Services
Con l'approccio tradizionale al mondo IT per molti anni è stato difficile implementare tecniche di DevOps, che finora spesso hanno previsto attività manuali portando di tanto in tanto a dei downtime degli applicativi interrompendo l'operatività dell'utente. Con l'avvento del cloud, le tecniche di DevOps sono ormai a portata di tutti a basso costo per qualsiasi genere di workload, garantendo maggiore affidabilità del sistema e risultando in dei significativi miglioramenti della business continuity.
AWS mette a disposizione AWS OpsWork come strumento di Configuration Management che mira ad automatizzare e semplificare la gestione e i deployment delle istanze EC2 per mezzo di workload Chef e Puppet.
Scopri come sfruttare AWS OpsWork a garanzia e affidabilità del tuo applicativo installato su Instanze EC2.
Microsoft Active Directory su AWS per supportare i tuoi Windows WorkloadsAmazon Web Services
Vuoi conoscere le opzioni per eseguire Microsoft Active Directory su AWS? Quando si spostano carichi di lavoro Microsoft in AWS, è importante considerare come distribuire Microsoft Active Directory per supportare la gestione, l'autenticazione e l'autorizzazione dei criteri di gruppo. In questa sessione, discuteremo le opzioni per la distribuzione di Microsoft Active Directory su AWS, incluso AWS Directory Service per Microsoft Active Directory e la distribuzione di Active Directory su Windows su Amazon Elastic Compute Cloud (Amazon EC2). Trattiamo argomenti quali l'integrazione del tuo ambiente Microsoft Active Directory locale nel cloud e l'utilizzo di applicazioni SaaS, come Office 365, con AWS Single Sign-On.
Dal riconoscimento facciale al riconoscimento di frodi o difetti di fabbricazione, l'analisi di immagini e video che sfruttano tecniche di intelligenza artificiale, si stanno evolvendo e raffinando a ritmi elevati. In questo webinar esploreremo le possibilità messe a disposizione dai servizi AWS per applicare lo stato dell'arte delle tecniche di computer vision a scenari reali.
Amazon Web Services e VMware organizzano un evento virtuale gratuito il prossimo mercoledì 14 Ottobre dalle 12:00 alle 13:00 dedicato a VMware Cloud ™ on AWS, il servizio on demand che consente di eseguire applicazioni in ambienti cloud basati su VMware vSphere® e di accedere ad una vasta gamma di servizi AWS, sfruttando a pieno le potenzialità del cloud AWS e tutelando gli investimenti VMware esistenti.
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
Crea la tua prima serverless ledger-based app con QLDB e NodeJSAmazon Web Services
Molte aziende oggi, costruiscono applicazioni con funzionalità di tipo ledger ad esempio per verificare lo storico di accrediti o addebiti nelle transazioni bancarie o ancora per tenere traccia del flusso supply chain dei propri prodotti.
Alla base di queste soluzioni ci sono i database ledger che permettono di avere un log delle transazioni trasparente, immutabile e crittograficamente verificabile, ma sono strumenti complessi e onerosi da gestire.
Amazon QLDB elimina la necessità di costruire sistemi personalizzati e complessi fornendo un database ledger serverless completamente gestito.
In questa sessione scopriremo come realizzare un'applicazione serverless completa che utilizzi le funzionalità di QLDB.
Con l’ascesa delle architetture di microservizi e delle ricche applicazioni mobili e Web, le API sono più importanti che mai per offrire agli utenti finali una user experience eccezionale. In questa sessione impareremo come affrontare le moderne sfide di progettazione delle API con GraphQL, un linguaggio di query API open source utilizzato da Facebook, Amazon e altro e come utilizzare AWS AppSync, un servizio GraphQL serverless gestito su AWS. Approfondiremo diversi scenari, comprendendo come AppSync può aiutare a risolvere questi casi d’uso creando API moderne con funzionalità di aggiornamento dati in tempo reale e offline.
Inoltre, impareremo come Sky Italia utilizza AWS AppSync per fornire aggiornamenti sportivi in tempo reale agli utenti del proprio portale web.
Database Oracle e VMware Cloud™ on AWS: i miti da sfatareAmazon Web Services
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
In queste slide, gli esperti AWS e VMware presentano semplici e pratici accorgimenti per facilitare e semplificare la migrazione dei carichi di lavoro Oracle accelerando la trasformazione verso il cloud, approfondiranno l’architettura e dimostreranno come sfruttare a pieno le potenzialità di VMware Cloud ™ on AWS.
Amazon Elastic Container Service (Amazon ECS) è un servizio di gestione dei container altamente scalabile, che semplifica la gestione dei contenitori Docker attraverso un layer di orchestrazione per il controllo del deployment e del relativo lifecycle. In questa sessione presenteremo le principali caratteristiche del servizio, le architetture di riferimento per i differenti carichi di lavoro e i semplici passi necessari per poter velocemente migrare uno o più dei tuo container.