With Alexa for Business, you can deploy and manage Alexa devices in your organization. Join us in this session to learn how you can set up an Alexa-enabled conference room and integrate Alexa with your existing equipment. Learn to build Alexa skills, and voice-enable applications such as SalesForce, ServiceNow and Trello. Discover how to build private skills for your organization and deploy them to Alexa devices and users in your workplace. Come and experience Alexa for Business in action, and get some great ideas for transforming your business.
Move your Desktops and Apps to AWS with Amazon WorkSpaces and AppStream 2 Amazon Web Services
IT organizations today need to support a modern, flexible, global workforce and ensure that their users can be productive anywhere. Moving desktops and applications to the AWS Cloud offers improved security, scale, and performance with cloud economics. In this session, we provide an overview of Amazon WorkSpaces and Amazon AppStream 2.0, and we discuss the use cases for each. Then, we dive deep into best practices for implementing Amazon WorkSpaces and AppStream 2.0, including how to integrate with your existing identity, security, networking, and storage solutions.
What are the different options for a developer to run his DB in the Cloud? This session will look into the different options and how to choose the right DB for your workload.
Anyone can create and publish augmented reality (AR), virtual reality (VR), and 3D applications quickly and easily with Amazon Sumerian. Learn how to use Sumerian to build a scene that can be published and viewed on laptops, mobile phones, VR headsets, and digital signage. Take a tour of the Sumerian interface, and learn how to build a scene, add assets and hosts, and add behaviors to create dynamically animated objects and characters in an AR/VR experience. Also see how Sumerian integrates into AWS services such as Amazon Polly, Amazon Lex, AWS Lambda, Amazon S3, and Amazon DynamoDB.
SRV309 AWS Purpose-Built Database Strategy: The Right Tool for the Right JobAmazon Web Services
In this session, Shawn Bice, VP of NoSQL and QuickSight, covers the AWS purpose-built strategy for databases and explains why your application should drive the requirements of a database, not the other way around. We introduce AWS databases that are purpose-built for your application use cases. Learn why you should select different data services to solve different aspects of an application, and watch a demonstration on which application use cases lend themselves well to which data services. If you’re a developer building modern applications that require flexibility and consistent millisecond performance, and you’re trying to determine what relational and non-relational data services to use, this session is for you.
This document discusses modern product development practices in the cloud. It covers topics like DevOps, Agile teaming, and Design Thinking. It emphasizes the benefits of cloud development like reducing costs and failure, quickly scaling ideas, and rapid adoption of new capabilities. Specific practices highlighted include using two-pizza teams, microservices architectures, and serverless computing. Real-world examples are provided of companies innovating on AWS cloud.
AWS Lambda enables you to run code without provisioning or managing servers. AWS Lambda@Edge enables you to write Lambda functions once and execute them wherever your viewers are located. In this session, we walk through examples of web applications that use the serverless programming model for authentication, customization, and security. We show you how to design and deploy intelligent web applications using Lambda@Edge and Amazon CloudFront.
Heeki Park, a senior consultant at AWS, gives a presentation on serverless computing using AWS Lambda. The presentation introduces serverless concepts, demonstrates common use cases for AWS Lambda including web applications, data processing, and IT automation. It also demonstrates how to use AWS Lambda, and how it integrates with other AWS services like API Gateway, Step Functions, Lex and others.
Amazon brings natural language processing, automatic speech recognition, text-to-speech, and neural machine translation technologies within reach of every developer. In this session, learn how you can easily add intelligence to any application with solution-oriented machine learning (ML) services that provide speech, language, and chatbot functionalities. We also share real-world examples of ML in action. See how others are defining and building the next generation of apps that can hear, speak, understand, and interact with the world around us.
Move your Desktops and Apps to AWS with Amazon WorkSpaces and AppStream 2 Amazon Web Services
IT organizations today need to support a modern, flexible, global workforce and ensure that their users can be productive anywhere. Moving desktops and applications to the AWS Cloud offers improved security, scale, and performance with cloud economics. In this session, we provide an overview of Amazon WorkSpaces and Amazon AppStream 2.0, and we discuss the use cases for each. Then, we dive deep into best practices for implementing Amazon WorkSpaces and AppStream 2.0, including how to integrate with your existing identity, security, networking, and storage solutions.
What are the different options for a developer to run his DB in the Cloud? This session will look into the different options and how to choose the right DB for your workload.
Anyone can create and publish augmented reality (AR), virtual reality (VR), and 3D applications quickly and easily with Amazon Sumerian. Learn how to use Sumerian to build a scene that can be published and viewed on laptops, mobile phones, VR headsets, and digital signage. Take a tour of the Sumerian interface, and learn how to build a scene, add assets and hosts, and add behaviors to create dynamically animated objects and characters in an AR/VR experience. Also see how Sumerian integrates into AWS services such as Amazon Polly, Amazon Lex, AWS Lambda, Amazon S3, and Amazon DynamoDB.
SRV309 AWS Purpose-Built Database Strategy: The Right Tool for the Right JobAmazon Web Services
In this session, Shawn Bice, VP of NoSQL and QuickSight, covers the AWS purpose-built strategy for databases and explains why your application should drive the requirements of a database, not the other way around. We introduce AWS databases that are purpose-built for your application use cases. Learn why you should select different data services to solve different aspects of an application, and watch a demonstration on which application use cases lend themselves well to which data services. If you’re a developer building modern applications that require flexibility and consistent millisecond performance, and you’re trying to determine what relational and non-relational data services to use, this session is for you.
This document discusses modern product development practices in the cloud. It covers topics like DevOps, Agile teaming, and Design Thinking. It emphasizes the benefits of cloud development like reducing costs and failure, quickly scaling ideas, and rapid adoption of new capabilities. Specific practices highlighted include using two-pizza teams, microservices architectures, and serverless computing. Real-world examples are provided of companies innovating on AWS cloud.
AWS Lambda enables you to run code without provisioning or managing servers. AWS Lambda@Edge enables you to write Lambda functions once and execute them wherever your viewers are located. In this session, we walk through examples of web applications that use the serverless programming model for authentication, customization, and security. We show you how to design and deploy intelligent web applications using Lambda@Edge and Amazon CloudFront.
Heeki Park, a senior consultant at AWS, gives a presentation on serverless computing using AWS Lambda. The presentation introduces serverless concepts, demonstrates common use cases for AWS Lambda including web applications, data processing, and IT automation. It also demonstrates how to use AWS Lambda, and how it integrates with other AWS services like API Gateway, Step Functions, Lex and others.
Amazon brings natural language processing, automatic speech recognition, text-to-speech, and neural machine translation technologies within reach of every developer. In this session, learn how you can easily add intelligence to any application with solution-oriented machine learning (ML) services that provide speech, language, and chatbot functionalities. We also share real-world examples of ML in action. See how others are defining and building the next generation of apps that can hear, speak, understand, and interact with the world around us.
You’ve built an AWS Lambda function. But an application is more than just a single function; you need a lot of them. How do you orchestrate them? How do you know they’re performant? In this session, I’ll get you started with AWS Lambda, AWS Step Functions, and monitoring to get your application up and running. This session is brought to you by AWS Partner, Datadog.
How Verizon is Accelerating Cloud Adoption and Migration with the AWS Service...Amazon Web Services
Many enterprises want to drive faster cloud adoption and time to market (TTM) by allowing their developers, who have various skill sets, to onboard onto AWS quickly using self-service. However, enabling security, governance, and compliance while not compromising user experience can be a challenge. In this session, Verizon demonstrates how they use the AWS Service Catalog Connector for ServiceNow to create a robust self-service computing environment while meeting Verizon’s governance and security controls and achieving their goal of migrating > 30% of their applications onto AWS in a short timeframe.
SRV317 Creating and Publishing AR and VR Apps with Amazon SumerianAmazon Web Services
Amazon Sumerian lets anyone create and run augmented reality (AR), virtual reality (VR), and 3D applications quickly and easily without requiring specialized programming or 3D graphics expertise. In this session, participants learn how to use Sumerian to build a scene that is viewable on laptops, mobile phones, VR headsets, and digital signage. Ben Moore provides a guided overview of the Sumerian interface to create a scene, add objects, and include hosts. He then demonstrates how to manipulate assets and add behaviors to create dynamically animated objects and characters in an AR/VR experience. Finally, he covers how Sumerian integrates into AWS services such as Amazon Polly, Amazon Lex, AWS Lambda, Amazon S3, and Amazon DynamoDB.
Operationalizing Microsoft Workloads (WIN320) - AWS re:Invent 2018Amazon Web Services
In this session, we discuss best practices and approaches for managing your Microsoft Windows-based infrastructure on AWS. We describe the AWS services that can help you manage Windows servers at scale and realize the maximum benefit of the cloud. In addition, we show you how to build simple and effective solutions to manage logging, configuration drift, inventory, licensing, and more. Please join us for a speaker meet-and-greet following this session at the Speaker Lounge (ARIA East, Level 1, Willow Lounge). The meet-and-greet starts 15 minutes after the session and runs for half an hour.
Security, Risk and Compliance of Your Cloud Journey - Tel Aviv Summit 2018Amazon Web Services
How can you ensure your environment is Secure? How can you implement an effective governance model in your organization? The AWS Cloud Adoption Framework (CAF) and its Security Perspective provide a structured approach to make risk based decisions, build security guardrails and meet your compliance goals as you migrate to AWS. The Security perspective of the CAF provides a set of 5 core themes designed to help you structure your selection and implementation of controls that are right for your business: IAM, Detective Controls, Infrastructure Security, Data Protection and Incident response. In this session you will learn what it takes to lead a Secure Cloud Journey for your organization and make key strategic decisions.
Create Advanced Text Analytics Solutions with NLP - BDA310 - New York AWS Sum...Amazon Web Services
About 80% of data held by an organization is unstructured—such as emails, social media feeds, news articles, and customer feedback—which makes it difficult to analyze and use. NLP and ML can help. Amazon Comprehend is an NLP service that uses ML to find insights and relationships in text. In this session, learn how to easily process, analyze, and visualize data by pairing Amazon Comprehend with Amazon RDS, Amazon Elasticsearch Service, and Amazon Neptune. Also see real-world examples of how customers have built advanced text analytics solutions with Amazon Comprehend.
Securing Data in Serverless Applications and Messaging Services (API317-R2) -...Amazon Web Services
This document discusses securing data in serverless applications and messaging services. It covers authentication using IAM users, roles and groups. It also covers authorization using identity-based and resource-based policies. Additionally, it discusses encrypting messages in transit using HTTPS and at rest using server-side encryption with AWS KMS customer master keys and data encryption keys. It provides examples of policies for Amazon SNS topics, SQS queues and KMS customer master keys.
CI/CD for Your Machine Learning Pipeline with Amazon SageMaker (DVC303) - AWS...Amazon Web Services
Amazon SageMaker is a powerful tool that enables us to build, train, and deploy at scale our machine learning-based workloads. With help from AWS CI/CD tools, we can speed up this pipeline process. In this talk, we discuss how to integrate Amazon SageMaker into a CI/CD pipeline as well as how to orchestrate with other serverless components.
This session is part of re:Invent Developer Community Day, a series led by AWS enthusiasts who share first-hand, technical insights on trending topics.
Increase the Value of Video with ML & Media Services - SRV322 - New York AWS ...Amazon Web Services
Learn how to generate metadata from your media and make videos searchable by objects, people, activities, dialog, and more by using Amazon Machine Learning tools. Learn how to make videos more valuable and enable a wide range of use cases, including searching and indexing your video library. Learn how to use AWS Elemental MediaConvert to create video highlight clips from keywords, automatically or on demand, for content like sports videos and from sources like nature cameras or security feeds. Finally, learn how to use Amazon Transcribe and Amazon Translate with AWS Media Services to produce captions and translations to expand audience reach for corporate videos, marketing and sales material, and training videos.
Set Up Compliance Automation Using AWS Management Tools (SEC317) - AWS re:Inv...Amazon Web Services
In this workshop, learn how to detect common resource misconfigurations using AWS Config, AWS CloudTrail and Amazon CloudWatch. Learn how to author custom AWS Config rules using our Rule Development Kit, and learn how to automatically remediate compliance violations when they are detected.
This document summarizes Amazon Web Services machine learning language services. It discusses products like Amazon Transcribe for speech to text, Amazon Translate for language translation, Amazon Polly for text to speech, Amazon Comprehend for natural language processing, and Amazon Lex for building conversational interfaces. It provides examples of how companies like Duolingo, Hotels.com, RingDNA, and Liberty Mutual use these services and highlights the benefits of integrating machine learning into applications.
This document provides an overview of an AWS training course that teaches students how to use AWS foundational services like EC2, VPC, S3, EBS, IAM, DynamoDB, RDS, Auto Scaling, CloudWatch, and ELB. It also covers AWS regions and availability zones, networking concepts, security measures, and serverless technologies like Lambda and API Gateway. The course aims to help students understand AWS terminology, navigate the management console, and use various compute, database, storage, and management services on the AWS platform.
Create an ML Factory in Financial Services with CI CD - FSI301 - New York AWS...Amazon Web Services
The document discusses creating a machine learning factory using AWS services. It describes combining Amazon SageMaker (for building, training, and deploying ML models) with Amazon CodeCommit, CodeBuild, and CodePipeline to create an automated pipeline. When model code or training data changes are committed to CodeCommit, CodePipeline will trigger CodeBuild to build a Docker image, train a model in SageMaker, and deploy the new model. This allows for continuous integration and deployment of ML models, improving the development process for highly-regulated industries like financial services.
Achieving Business Value with AWS - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn about the business benefits of moving to the AWS platform
- Learn what the commercial levers are that can help you lower your TCO on AWS
- Discover how other enterprises have used these levers
The document discusses Amazon Neptune, a fully managed graph database service. It provides examples of how Neptune can be used to query highly connected data through property graphs and RDF models. It also summarizes the key capabilities of Neptune such as its support for popular graph query languages like Gremlin and SPARQL and how Neptune can be used alongside machine learning. Finally, it provides a preview of Neptune's general availability planned for 2018 across multiple AWS regions.
Learn how to seamlessly combine Amazon EC2 On-Demand, Spot, and Reserved Instances to optimize cost, scale, and performance. Understand best practices used by customers all over the world for the most commonly used applications and workloads. Discover multiple ways to grow your compute capacity, and enable new types of cloud computing applications—without it costing a lot of money.
SRV326 Build a Voice-based Chatbot for Your Amazon Connect Contact CenterAmazon Web Services
In this workshop, you learn how easy it is to incorporate a voice-based Amazon Lex chatbot into your Amazon Connect contact center. We walk you through configuring your own Amazon Connect contact center, implementing a chatbot, and using it in your workflows to deliver a personalized voice-based caller experience. You also learn to further personalize caller experiences by using AWS Lambda to access caller information from your customer data system. Leave the session with a functioning Amazon Connect contact center and a voice-enabled chatbot that you can continually modify to your business needs over time. Come prepared to build by bringing your laptop and a phone to make test calls.
AWS Fargate makes running containerized workloads on AWS easier than ever. In this session, we provide a technical foundation for using AWS Fargate with your existing containerized services. We also provide best practices for building images, configuring task definitions, task networking, secrets management, and monitoring.
Protecting Amazon EC2 Instances, Relational Databases, and NoSQL Workloads (S...Amazon Web Services
For many IT professionals, cloud data protection can be challenging. In this session, we explore options for protecting and restoring your Amazon EC2 instances, relational databases, and NoSQL databases, such as MongoDB and Cassandra. We show you how solutions such as Rubrik Cloud Data Management and Rubrik Datos IO augment your Amazon EC2 backup strategy, including lifecycle management of Amazon EBS snapshots and Amazon Machine Images (AMI), automation and simplification of Amazon EBS volume and file-level restores from Amazon EBS snapshots, and application-consistent backup and recovery for Oracle, Microsoft SQL Server, MongoDB, and Cassandra databases on Amazon EC2. This session is brought to you by AWS partner, Rubrik.
Build the Next-Gen Meeting Room Experience Using Alexa for Business (BAP303-R...Amazon Web Services
Alexa for Business brings a conversational UI to help you simplify your meeting room experience. In this session, learn how you can bring Alexa for Business to your meeting room and integrate it with your existing meeting room systems. In addition, the Amazon IT team discusses best practices, and they describe how they piloted and deployed Alexa for Business in over 800 conference rooms at Amazon.
Alexa skills allow you to expand the voice assistant capabilities beyond what comes out of the box. In addition to more than 30,000 available Alexa skills out there, you can start developing your own skill tomorrow morning.
This session will show you how to build your first Alexa skill using different AWS services that can help you develop and run your skill in minutes. We will cover AWS Lambda, DynamoDB, S3 and other tools and services that will help you run your skills at scale.
You’ve built an AWS Lambda function. But an application is more than just a single function; you need a lot of them. How do you orchestrate them? How do you know they’re performant? In this session, I’ll get you started with AWS Lambda, AWS Step Functions, and monitoring to get your application up and running. This session is brought to you by AWS Partner, Datadog.
How Verizon is Accelerating Cloud Adoption and Migration with the AWS Service...Amazon Web Services
Many enterprises want to drive faster cloud adoption and time to market (TTM) by allowing their developers, who have various skill sets, to onboard onto AWS quickly using self-service. However, enabling security, governance, and compliance while not compromising user experience can be a challenge. In this session, Verizon demonstrates how they use the AWS Service Catalog Connector for ServiceNow to create a robust self-service computing environment while meeting Verizon’s governance and security controls and achieving their goal of migrating > 30% of their applications onto AWS in a short timeframe.
SRV317 Creating and Publishing AR and VR Apps with Amazon SumerianAmazon Web Services
Amazon Sumerian lets anyone create and run augmented reality (AR), virtual reality (VR), and 3D applications quickly and easily without requiring specialized programming or 3D graphics expertise. In this session, participants learn how to use Sumerian to build a scene that is viewable on laptops, mobile phones, VR headsets, and digital signage. Ben Moore provides a guided overview of the Sumerian interface to create a scene, add objects, and include hosts. He then demonstrates how to manipulate assets and add behaviors to create dynamically animated objects and characters in an AR/VR experience. Finally, he covers how Sumerian integrates into AWS services such as Amazon Polly, Amazon Lex, AWS Lambda, Amazon S3, and Amazon DynamoDB.
Operationalizing Microsoft Workloads (WIN320) - AWS re:Invent 2018Amazon Web Services
In this session, we discuss best practices and approaches for managing your Microsoft Windows-based infrastructure on AWS. We describe the AWS services that can help you manage Windows servers at scale and realize the maximum benefit of the cloud. In addition, we show you how to build simple and effective solutions to manage logging, configuration drift, inventory, licensing, and more. Please join us for a speaker meet-and-greet following this session at the Speaker Lounge (ARIA East, Level 1, Willow Lounge). The meet-and-greet starts 15 minutes after the session and runs for half an hour.
Security, Risk and Compliance of Your Cloud Journey - Tel Aviv Summit 2018Amazon Web Services
How can you ensure your environment is Secure? How can you implement an effective governance model in your organization? The AWS Cloud Adoption Framework (CAF) and its Security Perspective provide a structured approach to make risk based decisions, build security guardrails and meet your compliance goals as you migrate to AWS. The Security perspective of the CAF provides a set of 5 core themes designed to help you structure your selection and implementation of controls that are right for your business: IAM, Detective Controls, Infrastructure Security, Data Protection and Incident response. In this session you will learn what it takes to lead a Secure Cloud Journey for your organization and make key strategic decisions.
Create Advanced Text Analytics Solutions with NLP - BDA310 - New York AWS Sum...Amazon Web Services
About 80% of data held by an organization is unstructured—such as emails, social media feeds, news articles, and customer feedback—which makes it difficult to analyze and use. NLP and ML can help. Amazon Comprehend is an NLP service that uses ML to find insights and relationships in text. In this session, learn how to easily process, analyze, and visualize data by pairing Amazon Comprehend with Amazon RDS, Amazon Elasticsearch Service, and Amazon Neptune. Also see real-world examples of how customers have built advanced text analytics solutions with Amazon Comprehend.
Securing Data in Serverless Applications and Messaging Services (API317-R2) -...Amazon Web Services
This document discusses securing data in serverless applications and messaging services. It covers authentication using IAM users, roles and groups. It also covers authorization using identity-based and resource-based policies. Additionally, it discusses encrypting messages in transit using HTTPS and at rest using server-side encryption with AWS KMS customer master keys and data encryption keys. It provides examples of policies for Amazon SNS topics, SQS queues and KMS customer master keys.
CI/CD for Your Machine Learning Pipeline with Amazon SageMaker (DVC303) - AWS...Amazon Web Services
Amazon SageMaker is a powerful tool that enables us to build, train, and deploy at scale our machine learning-based workloads. With help from AWS CI/CD tools, we can speed up this pipeline process. In this talk, we discuss how to integrate Amazon SageMaker into a CI/CD pipeline as well as how to orchestrate with other serverless components.
This session is part of re:Invent Developer Community Day, a series led by AWS enthusiasts who share first-hand, technical insights on trending topics.
Increase the Value of Video with ML & Media Services - SRV322 - New York AWS ...Amazon Web Services
Learn how to generate metadata from your media and make videos searchable by objects, people, activities, dialog, and more by using Amazon Machine Learning tools. Learn how to make videos more valuable and enable a wide range of use cases, including searching and indexing your video library. Learn how to use AWS Elemental MediaConvert to create video highlight clips from keywords, automatically or on demand, for content like sports videos and from sources like nature cameras or security feeds. Finally, learn how to use Amazon Transcribe and Amazon Translate with AWS Media Services to produce captions and translations to expand audience reach for corporate videos, marketing and sales material, and training videos.
Set Up Compliance Automation Using AWS Management Tools (SEC317) - AWS re:Inv...Amazon Web Services
In this workshop, learn how to detect common resource misconfigurations using AWS Config, AWS CloudTrail and Amazon CloudWatch. Learn how to author custom AWS Config rules using our Rule Development Kit, and learn how to automatically remediate compliance violations when they are detected.
This document summarizes Amazon Web Services machine learning language services. It discusses products like Amazon Transcribe for speech to text, Amazon Translate for language translation, Amazon Polly for text to speech, Amazon Comprehend for natural language processing, and Amazon Lex for building conversational interfaces. It provides examples of how companies like Duolingo, Hotels.com, RingDNA, and Liberty Mutual use these services and highlights the benefits of integrating machine learning into applications.
This document provides an overview of an AWS training course that teaches students how to use AWS foundational services like EC2, VPC, S3, EBS, IAM, DynamoDB, RDS, Auto Scaling, CloudWatch, and ELB. It also covers AWS regions and availability zones, networking concepts, security measures, and serverless technologies like Lambda and API Gateway. The course aims to help students understand AWS terminology, navigate the management console, and use various compute, database, storage, and management services on the AWS platform.
Create an ML Factory in Financial Services with CI CD - FSI301 - New York AWS...Amazon Web Services
The document discusses creating a machine learning factory using AWS services. It describes combining Amazon SageMaker (for building, training, and deploying ML models) with Amazon CodeCommit, CodeBuild, and CodePipeline to create an automated pipeline. When model code or training data changes are committed to CodeCommit, CodePipeline will trigger CodeBuild to build a Docker image, train a model in SageMaker, and deploy the new model. This allows for continuous integration and deployment of ML models, improving the development process for highly-regulated industries like financial services.
Achieving Business Value with AWS - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn about the business benefits of moving to the AWS platform
- Learn what the commercial levers are that can help you lower your TCO on AWS
- Discover how other enterprises have used these levers
The document discusses Amazon Neptune, a fully managed graph database service. It provides examples of how Neptune can be used to query highly connected data through property graphs and RDF models. It also summarizes the key capabilities of Neptune such as its support for popular graph query languages like Gremlin and SPARQL and how Neptune can be used alongside machine learning. Finally, it provides a preview of Neptune's general availability planned for 2018 across multiple AWS regions.
Learn how to seamlessly combine Amazon EC2 On-Demand, Spot, and Reserved Instances to optimize cost, scale, and performance. Understand best practices used by customers all over the world for the most commonly used applications and workloads. Discover multiple ways to grow your compute capacity, and enable new types of cloud computing applications—without it costing a lot of money.
SRV326 Build a Voice-based Chatbot for Your Amazon Connect Contact CenterAmazon Web Services
In this workshop, you learn how easy it is to incorporate a voice-based Amazon Lex chatbot into your Amazon Connect contact center. We walk you through configuring your own Amazon Connect contact center, implementing a chatbot, and using it in your workflows to deliver a personalized voice-based caller experience. You also learn to further personalize caller experiences by using AWS Lambda to access caller information from your customer data system. Leave the session with a functioning Amazon Connect contact center and a voice-enabled chatbot that you can continually modify to your business needs over time. Come prepared to build by bringing your laptop and a phone to make test calls.
AWS Fargate makes running containerized workloads on AWS easier than ever. In this session, we provide a technical foundation for using AWS Fargate with your existing containerized services. We also provide best practices for building images, configuring task definitions, task networking, secrets management, and monitoring.
Protecting Amazon EC2 Instances, Relational Databases, and NoSQL Workloads (S...Amazon Web Services
For many IT professionals, cloud data protection can be challenging. In this session, we explore options for protecting and restoring your Amazon EC2 instances, relational databases, and NoSQL databases, such as MongoDB and Cassandra. We show you how solutions such as Rubrik Cloud Data Management and Rubrik Datos IO augment your Amazon EC2 backup strategy, including lifecycle management of Amazon EBS snapshots and Amazon Machine Images (AMI), automation and simplification of Amazon EBS volume and file-level restores from Amazon EBS snapshots, and application-consistent backup and recovery for Oracle, Microsoft SQL Server, MongoDB, and Cassandra databases on Amazon EC2. This session is brought to you by AWS partner, Rubrik.
Build the Next-Gen Meeting Room Experience Using Alexa for Business (BAP303-R...Amazon Web Services
Alexa for Business brings a conversational UI to help you simplify your meeting room experience. In this session, learn how you can bring Alexa for Business to your meeting room and integrate it with your existing meeting room systems. In addition, the Amazon IT team discusses best practices, and they describe how they piloted and deployed Alexa for Business in over 800 conference rooms at Amazon.
Alexa skills allow you to expand the voice assistant capabilities beyond what comes out of the box. In addition to more than 30,000 available Alexa skills out there, you can start developing your own skill tomorrow morning.
This session will show you how to build your first Alexa skill using different AWS services that can help you develop and run your skill in minutes. We will cover AWS Lambda, DynamoDB, S3 and other tools and services that will help you run your skills at scale.
Alexa skills allow you to expand the voice assistant capabilities beyond what comes out of the box. In addition to more than 30,000 available Alexa skills out there, you can start developing your own skill tomorrow morning. This session will show you how to build your first Alexa skill using different AWS services that can help you develop and run your skill in minutes. We will cover AWS Lambda, DynamoDB, S3 and other tools and services that will help you run your skills at scale.
With Alexa for Business, you can deploy and manage Alexa devices in your organization. Join us in this session to learn how you can set up an Alexa-enabled conference room and integrate Alexa with your existing equipment. Learn to build Alexa skills and voice-enable applications such as SalesForce, ServiceNow, and Trello. Discover how to build private skills for your organization and deploy them to Alexa devices and users in your workplace. Come and experience Alexa for Business in action, and get some great ideas for transforming your business.
Alexa Everywhere: A Year in Review (ALX201) - AWS re:Invent 2018Amazon Web Services
Since its launch in 2015, Alexa has enabled new experiences across many device form factors at home, work, in the car, and on the go. With over 50,000 published skills, hundreds of new API features releases, and numerous Alexa-enabled devices, it can be hard to keep track with of the current pace. In this session, we get you up to speed on the current Voice First movement, the current Conversational AI trends, and we give demonstrations of some of the latest Alexa features and devices. Come learn about the new Alexa Skills Kit (ASK) multi-modal framework, Alexa Presentation Language (APL) for developers, Alexa skill fulfillment and consumables for customers, and some of the latest device offerings utilizing the Alexa Voice Service (AVS) and the new Alexa Gadgets Toolkit.
Build a Next-Gen Meeting Room Experience Using Alexa for Business - SVC203 - ...Amazon Web Services
Alexa for Business brings a conversational UI to help you simplify your meeting room experience. In this session, learn how to bring Alexa for Business to your meeting room and integrate it with your existing meeting room systems. Also learn how to build skills using Alexa for Business Blueprints to enhance your meeting room experience.
AWS Webinar - Learn how and why to build conversational chatbots Amazon Web Services
Chatbots give customers fast, easy access to information and free customer service agents from mundane, repetitive tasks. Coupled with Amazon Connect, a simple to use, cloud-based contact centre, chatbots can help you innovate your customer service model quickly and cost effectively. But what is the most effective mix of live agent, chatbot, web and mobile interactions for your business? In this short 45-minute webinar, you will learn how, when and why to use chatbots. First, we show you how easy it is to build a new Amazon Connect contact centre. Then we’ll use Amazon Lex to build an intelligent conversational chatbot which is integrated with your new Amazon Connect contact centre workflows. The outcome - a chatbot that offers personalized and dynamic caller experiences.
Alexa for Device Makers: Create Products with Alexa Built-In Using AVS (ALX30...Amazon Web Services
In this hands-on workshop, learn how to use Alexa Built-In to create products that you can talk to and use to access music, information, control smart-home devices, and all of Alexa's skills. We use the C++-based AVS Device SDK and a Raspberry Pi to access the cloud-based Alexa Voice Service (AVS). Leave this session with your own working prototype and the knowledge to bring your products to market.
Alexa, Ask Jarvis to Create a Serverless App for Me (SRV315) - AWS re:Invent ...Amazon Web Services
Today, we can build and deploy a serverless application in minutes without having to write a line of code using pre-built AWS CloudFormation templates, or services such as the AWS Serverless Application Repository. But can we push the limits even more? In this workshop, we use the Serverless Application Repository combined with Amazon Alexa to create Iron Man's Jarvis look-a-like skill. You learn hands-on with Alexa, Amazon Lex, Amazon SageMaker, and the AWS Serverless Application Repository.
The document discusses several ways that AWS supports startups, including the AWS Activate program which provides credits, support and training to early stage startups. It also highlights programs to help startups launch hardware products on Amazon and build voice skills for Alexa using the Alexa Skills Kit and Alexa Voice Service. The final sections promote visiting AWS Startup Central to learn more about support programs.
The document discusses various ways that AWS helps startups with go-to-market strategies, including AWS Activate which provides credits, support, and training. It outlines programs like AWS Marketplace that help startups reach more customers, and Amazon Launchpad that assists with product discovery and sales. Finally, it briefly explains the Alexa ecosystem and AWS Partner Network program for building businesses using AWS services.
Go to Market for Startups on AWS, Startup Day Cape Town 2018Amazon Web Services
AWS is known for helping startups scale and grow. Join us to learn more about how you can benefit from these programs specifically designed for startups including; AWS Activate, AWS Marketplace for SaaS Startups, Amazon Launchpad and the Alexa Fund to name a few. We’ll outline the ways these go-to-market programs can provide startups with the resources to help accelerate your business, reduce time-to-market and achieve competitive differentiation.
Speaker: Claus Verner, Startup BDM Emerging Markets, AWS
Voice Assistants Beyond Smart Speakers - Integrate Alexa into Your Unique Pro...Amazon Web Services
Join us for a deep dive into the system architecture for voice-enabled products with "Alexa Built-In". Device makers can use the Alexa Voice Service (AVS) to add conversational AI to a variety of products from smart speakers to headphones, screen-based devices to smarthome, and more. Learn how to choose the right hardware and software tools, ensure great customer experience with test and certification guidelines, and leverage qualified solution providers to get your products to market faster.
Now You See It, Now You Don't: Augmented Reality (AR) and Virtual Reality (VR...Amazon Web Services
The document discusses augmented reality (AR) and virtual reality (VR) applications for the public sector. It provides an overview of the development process for AR/VR apps and describes Amazon Sumerian, a tool for building VR/AR experiences in a browser. Sumerian allows developers to build experiences once and deploy them across platforms using integrated AWS services. Examples are provided of how Sumerian hosts can incorporate Amazon Lex, Polly and Rekognition to add voice and human elements to VR/AR experiences.
NEW LAUNCH! Building Alexa Skills for Businesses (ALX204) Amazon Web Services
Alexa for Business makes it possible for businesses to create Alexa skills designed specifically for employees or customers. With Alexa for Business, devices can be managed and provisioned to be used by employees in conference rooms, at employees’ desks, or around the workplace. You can also create skills that can be used by customers, in places like hotel rooms, restaurants, hospitality suites, or even stores. In this session, we’ll provide an overview of Alexa for Business, and show you how Alexa for Business creates business value for both customers and employees.
Leveraging Experts for Scale - Ralf Capel - AWS TechShift ANZ 2018Amazon Web Services
With cloud technologies available to software businesses at a click of a button, one of the key constraint’s software businesses face these days is the availability of human capital. This session will focus on the ecosystem a software business can tap into to complement their workforce for speed, scale and focus. We will share real-world stories from customers who have leveraged AWS Consulting Partners, AWS Support, and Training to achieve increase in quality and speed of delivery of their software.
AWS Webinar Series | Using Virtual Reality to bring your ChatBot to life Amazon Web Services
Chatbots are most commonly used as a feature of mobile or desktop websites, where text is used for the primary interaction method. In this session we’ll explore how you can use Amazon Sumerian to create a virtual host that can be interacted with through Virtual Reality, Augmented Reality or just as a digital character. This makes voice a far more natural interaction method. We’ll also look at how you can extend this bot to interact with other rich services in the AWS cloud.
This webinar was presented by Brent Maxwell in September 2018 as part of the ANZ Webinar Series for Australia and New Zealand.
The document discusses Amazon Web Services products for building conversational interfaces including Amazon Lex, Lambda, and Connect. It provides an overview of each product, describing how Lex allows developers to build conversational bots through natural language understanding, how Lambda can be used for fulfillment and integration, and how Connect provides a cloud-based contact center. It also provides an example workflow of integrating Lex and Connect to build a voice-based application and points to additional resources.
Build, train, and deploy machine learning models at scale
Machine learning often feels a lot harder than it should be to most developers because the process to build and train models, and then deploy them into production is too complicated and too slow.
Amazon SageMaker includes modules that can be used together or independently to build, train, and deploy your machine learning models.
Olivier Bergeret - AWS
https://dataxday.fr/
Video available: https://www.youtube.com/watch?v=3eV4x_GR_f8
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.
1) The document discusses building a minimum viable product (MVP) using Amazon Web Services (AWS).
2) It provides an example of an MVP for an omni-channel messenger platform that was built from 2017 to connect ecommerce stores to customers via web chat, Facebook Messenger, WhatsApp, and other channels.
3) The founder discusses how they started with an MVP in 2017 with 200 ecommerce stores in Hong Kong and Taiwan, and have since expanded to over 5000 clients across Southeast Asia using AWS for scaling.
This document discusses pitch decks and fundraising materials. It explains that venture capitalists will typically spend only 3 minutes and 44 seconds reviewing a pitch deck. Therefore, the deck needs to tell a compelling story to grab their attention. It also provides tips on tailoring different types of decks for different purposes, such as creating a concise 1-2 page teaser, a presentation deck for pitching in-person, and a more detailed read-only or fundraising deck. The document stresses the importance of including key information like the problem, solution, product, traction, market size, plans, team, and ask.
This document discusses building serverless web applications using AWS services like API Gateway, Lambda, DynamoDB, S3 and Amplify. It provides an overview of each service and how they can work together to create a scalable, secure and cost-effective serverless application stack without having to manage servers or infrastructure. Key services covered include API Gateway for hosting APIs, Lambda for backend logic, DynamoDB for database needs, S3 for static content, and Amplify for frontend hosting and continuous deployment.
This document provides tips for fundraising from startup founders Roland Yau and Sze Lok Chan. It discusses generating competition to create urgency for investors, fundraising in parallel rather than sequentially, having a clear fundraising narrative focused on what you do and why it's compelling, and prioritizing relationships with people over firms. It also notes how the pandemic has changed fundraising, with examples of deals done virtually during this time. The tips emphasize being fully prepared before fundraising and cultivating connections with investors in advance.
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...Amazon Web Services
This document discusses Amazon's machine learning services for building conversational interfaces and extracting insights from unstructured text and audio. It describes Amazon Lex for creating chatbots, Amazon Comprehend for natural language processing tasks like entity extraction and sentiment analysis, and how they can be used together for applications like intelligent call centers and content analysis. Pre-trained APIs simplify adding machine learning to apps without requiring ML expertise.
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.