Overview of Amazon Web Services
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Building Resilience for the Long Run
Building Resilience for the Long Run How Travel & Hospitality companies can stay agile during business disruption COPYRIGHT 2020, AMAZON WEB SERVICES, INC. OR ITS AFFILIATES 1 About AWS Travel and Hospitality WS Travel and Hospitality is the global industry practice for Amazon Web Services (AWS), with a charter to support customers as they accelerate cloud adoption. Companies around the world, across every segment of the travel and hospitality industry - and of every size - run on AWS. This includes industry leaders like Airbnb, Avis Budget Group, Best Western, Choice Hotels, DoorDash, Dunkin’ Brands, Expedia Group, Korean Air, McDonald’s, Ryanair, SiteMinder, Sysco, Toast, United Airlines, and Wyndham Hotels. These companies and many others are transforming their business by leveraging technology to enhance customer experiences and increase operational efficiency. For more information about AWS Travel and Hospitality, please visit aws.com/travel. Keep up-to-date with executive insights and industry viewpoints at the AWS Travel and Hospitality Blog. Click here to be contacted by an AWS representative. COPYRIGHT 2020, AMAZON WEB SERVICES, INC. OR ITS AFFILIATES AWS.COM/TRAVEL 2 Foreword It has been said that challenges should not paralyze you but help discover who you are. We have seen time and again that immense challenges can bring about incredible innovation. That is especially true today. Around the globe, travel and hospitality companies are taking advantage of the flexibility of the AWS Cloud to innovate quickly and meet their needs during these trying times. Faced with disruption – whether a localized weather event or a pandemic that spans continents – travel and hospitality companies respond and rebuild. -
Amazon Polly: Use Cases
A I M 3 0 3 Stop guessing: Use AI to understand customer conversations Dirk Fröhner Boaz Ziniman Senior Solutions Architect Principal Technical Evangelist Amazon Web Services Amazon Web Services © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Agenda • Introduction Amazon Web Services (AWS) AI/ML offering • Introduction Amazon Connect • Architecture of the labs • Work on the labs • Wrap-up Related breakouts • AIM211 - AI document processing for business automation • AIM212 - ML in retail: Solutions that add intelligence to your business • AIM222 - Monetizing text-to-speech AI • AIM302 - Create a Q&A bot with Amazon Lex and Amazon Alexa © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Natural language processing (NLP) • Automatic speech recognition (ASR) • Natural language understanding (NLU) • Text to speech • Translation @ziniman @ziniman Use cases for NLP Voice of customer Knowledge management Education applications Customer service/ Semantic search Accessibility call centers Enterprise Captioning workflows Information bots digital assistant Personalization Localization The Amazon ML stack: Broadest & deepest set of capabilities Vision Speech Language Chatbots Forecasting Recommendations A I s e r v i c e s A m a z o n A m a z o n T r a n s l a t e A m a z o n A m a z o n A m a z o n A m a z o n A m a z o n C o m p r e h e n d A m a z o n A m a z o n A m a z o n Rekognition Rekognition T e x t r a c t P o l l y T r a n s c r i b e & A m a z o n L e x F o r e c a s t Personalize i m a -
Commvault on AWS Comprehensive Cloud Data Management for Hybrid IT Table of Contents
Commvault on AWS Comprehensive Cloud Data Management for Hybrid IT Table of Contents The Data Management Challenge 3 Commvault and Amazon Web Services 4 Benefits 7 Case Study: Dow Jones 8 Getting Started 9 2 The Data Management Challenge Today, more data is being generated than ever before. Keeping up with the rapid pace of data growth presents a series of challenges. Enterprise organizations are collecting petabytes of customer and application data that must be backed up and accessible to meet compliance requirements. Increased regulation around data retention policies make it more difficult to manage backup and archive storage, as critical data may be required to be kept for years and maybe difficult to find. Further complicating matters, point solutions often overlap and leave gaps where data is unprotected and require additional staff to manage them. These issues lead to increased costs, yet many IT departments are facing budget cuts and cannot expand upon their capital to meet increased performance demands. Today’s hybrid IT organizations realize cloud can help solve many data storage issues. With cloud storage comes the need for a comprehensive data management platform to manage data both on-premises and in the cloud. Savvy organizations streamline IT operations and reduce cloud waste with flexible orchestration to automate resource provisioning, policies and routine tasks. This eBook will demonstrate how Commvault and Amazon Web Services (AWS) deliver a cost-effective data management solution that addresses all of these challenges with a single, scalable solution. 3 Commvault and Amazon Web Services Unlike most backup and recovery solutions, Commvault offers a single data platform solution for all backup and recovery needs; as opposed to having to several point solutions for each use case (i.e. -
Timeline 1994 July Company Incorporated 1995 July Amazon
Timeline 1994 July Company Incorporated 1995 July Amazon.com Sells First Book, “Fluid Concepts & Creative Analogies: Computer Models of the Fundamental Mechanisms of Thought” 1996 July Launches Amazon.com Associates Program 1997 May Announces IPO, Begins Trading on NASDAQ Under “AMZN” September Introduces 1-ClickTM Shopping November Opens Fulfillment Center in New Castle, Delaware 1998 February Launches Amazon.com Advantage Program April Acquires Internet Movie Database June Opens Music Store October Launches First International Sites, Amazon.co.uk (UK) and Amazon.de (Germany) November Opens DVD/Video Store 1999 January Opens Fulfillment Center in Fernley, Nevada March Launches Amazon.com Auctions April Opens Fulfillment Center in Coffeyville, Kansas May Opens Fulfillment Centers in Campbellsville and Lexington, Kentucky June Acquires Alexa Internet July Opens Consumer Electronics, and Toys & Games Stores September Launches zShops October Opens Customer Service Center in Tacoma, Washington Acquires Tool Crib of the North’s Online and Catalog Sales Division November Opens Home Improvement, Software, Video Games and Gift Ideas Stores December Jeff Bezos Named TIME Magazine “Person Of The Year” 2000 January Opens Customer Service Center in Huntington, West Virginia May Opens Kitchen Store August Announces Toys “R” Us Alliance Launches Amazon.fr (France) October Opens Camera & Photo Store November Launches Amazon.co.jp (Japan) Launches Marketplace Introduces First Free Super Saver Shipping Offer (Orders Over $100) 2001 April Announces Borders Group Alliance August Introduces In-Store Pick Up September Announces Target Stores Alliance October Introduces Look Inside The BookTM 2002 June Launches Amazon.ca (Canada) July Launches Amazon Web Services August Lowers Free Super Saver Shipping Threshold to $25 September Opens Office Products Store November Opens Apparel & Accessories Store 2003 April Announces National Basketball Association Alliance June Launches Amazon Services, Inc. -
AWS Managed Services (AMS)
AWS Managed Services (AMS) Application Developer's Guide AMS Advanced Operations Plan Version September 16, 2020 AWS Managed Services (AMS) Application Developer's Guide AMS Advanced Operations Plan AWS Managed Services (AMS) Application Developer's Guide: AMS Advanced Operations Plan Copyright © Amazon Web Services, Inc. and/or its affiliates. All rights reserved. Amazon's trademarks and trade dress may not be used in connection with any product or service that is not Amazon's, in any manner that is likely to cause confusion among customers, or in any manner that disparages or discredits Amazon. All other trademarks not owned by Amazon are the property of their respective owners, who may or may not be affiliated with, connected to, or sponsored by Amazon. AWS Managed Services (AMS) Application Developer's Guide AMS Advanced Operations Plan Table of Contents Application Onboarding to AMS Introduction ........................................................................................ 1 What is Application Onboarding? ................................................................................................. 1 What we do, what we do not do .................................................................................................. 1 AMS Amazon Machine Images (AMIs) ............................................................................................ 2 Security enhanced AMIs ...................................................................................................... 4 Key terms ................................................................................................................................. -
Amazon Lumberyard Guide De Bienvenue Version 1.24 Amazon Lumberyard Guide De Bienvenue
Amazon Lumberyard Guide de bienvenue Version 1.24 Amazon Lumberyard Guide de bienvenue Amazon Lumberyard: Guide de bienvenue Copyright © Amazon Web Services, Inc. and/or its affiliates. All rights reserved. Amazon's trademarks and trade dress may not be used in connection with any product or service that is not Amazon's, in any manner that is likely to cause confusion among customers, or in any manner that disparages or discredits Amazon. All other trademarks not owned by Amazon are the property of their respective owners, who may or may not be affiliated with, connected to, or sponsored by Amazon. Amazon Lumberyard Guide de bienvenue Table of Contents Bienvenue dans Amazon Lumberyard .................................................................................................... 1 Fonctionnalités créatives de Amazon Lumberyard, sans compromis .................................................... 1 Contenu du Guide de bienvenue .................................................................................................. 2 Fonctions de Lumberyard .................................................................................................................... 3 Voici quelques-unes des fonctions d'Lumberyard : ........................................................................... 3 Plateformes prises en charge ....................................................................................................... 4 Fonctionnement d'Amazon Lumberyard ................................................................................................. -
Building Alexa Skills Using Amazon Sagemaker and AWS Lambda
Bootcamp: Building Alexa Skills Using Amazon SageMaker and AWS Lambda Description In this full-day, intermediate-level bootcamp, you will learn the essentials of building an Alexa skill, the AWS Lambda function that supports it, and how to enrich it with Amazon SageMaker. This course, which is intended for students with a basic understanding of Alexa, machine learning, and Python, teaches you to develop new tools to improve interactions with your customers. Intended Audience This course is intended for those who: • Are interested in developing Alexa skills • Want to enhance their Alexa skills using machine learning • Work in a customer-focused industry and want to improve their customer interactions Course Objectives In this course, you will learn: • The basics of the Alexa developer console • How utterances and intents work, and how skills interact with AWS Lambda • How to use Amazon SageMaker for the machine learning workflow and for enhancing Alexa skills Prerequisites We recommend that attendees of this course have the following prerequisites: • Basic familiarity with Alexa and Alexa skills • Basic familiarity with machine learning • Basic familiarity with Python • An account on the Amazon Developer Portal Delivery Method This course is delivered through a mix of: • Classroom training • Hands-on Labs Hands-on Activity • This course allows you to test new skills and apply knowledge to your working environment through a variety of practical exercises • This course requires a laptop to complete lab exercises; tablets are not appropriate Duration One Day Course Outline This course covers the following concepts: • Getting started with Alexa • Lab: Building an Alexa skill: Hello Alexa © 2018, Amazon Web Services, Inc. -
Performance Efficiency Pillar
Performance Efficiency Pillar AWS Well-Architected Framework Performance Efficiency Pillar AWS Well-Architected Framework Performance Efficiency Pillar: AWS Well-Architected Framework Copyright © Amazon Web Services, Inc. and/or its affiliates. All rights reserved. Amazon's trademarks and trade dress may not be used in connection with any product or service that is not Amazon's, in any manner that is likely to cause confusion among customers, or in any manner that disparages or discredits Amazon. All other trademarks not owned by Amazon are the property of their respective owners, who may or may not be affiliated with, connected to, or sponsored by Amazon. Performance Efficiency Pillar AWS Well-Architected Framework Table of Contents Abstract and Introduction ................................................................................................................... 1 Abstract .................................................................................................................................... 1 Introduction .............................................................................................................................. 1 Performance Efficiency ....................................................................................................................... 2 Design Principles ........................................................................................................................ 2 Definition ................................................................................................................................. -
Innovation on Every Front
INNOVATION ON EVERY FRONT AWS DeepComposer uses AI to compose music. AI AWS DeepComposer The new service gives developers a creative way to get started and become familiar with machine learning capabilities. Amazon Transcribe Medical is a machine AI Amazon Transcribe Medical learning service that makes it easy to quickly create accurate transcriptions from medical consultations between patients and physician dictated notes, practitioner/patient consultations, and tele-medicine are automatically converted from speech to text for use in clinical documen- tation applications. Amazon Rekognition Custom Labels helps users AI Amazon Rekognition Custom identify the objects and scenes in images that are specific to business needs. For example, Labels users can find corporate logos in social media posts, identify products on store shelves, classify machine parts in an assembly line, distinguish healthy and infected plants, or detect animated characters in videos. Amazon SageMaker Model Monitor is a new AI Amazon SageMaker Model capability of Amazon SageMaker that automatically monitors machine learning (ML) Monitor models in production, and alerts users when data quality issues appear. Amazon SageMaker is a fully managed service AI Amazon SageMaker that provides every developer and data scientist with the ability to build, train, and deploy ma- Experiments chine learning (ML) models quickly. SageMaker removes the heavy lifting from each step of the machine learning process to make it easier to develop high quality models. Amazon SageMaker Debugger is a new capa- AI Amazon SageMaker Debugger bility of Amazon SageMaker that automatically identifies complex issues developing in machine learning (ML) training jobs. Amazon SageMaker Autopilot automatically AI Amazon SageMaker Autopilot trains and tunes the best machine learning models for classification or regression, based on your data while allowing to maintain full control and visibility. -
Introducing Amazon RDS for Aurora Chris Littlefield, AWS Certified Solutions Architect – Associate Level, AWS Certified Sysops Administrator – Associate Level
Expert Reference Series of White Papers Introducing Amazon RDS for Aurora 1-800-COURSES www.globalknowledge.com Introducing Amazon RDS for Aurora Chris Littlefield, AWS Certified Solutions Architect – Associate Level, AWS Certified SysOps Administrator – Associate Level Introduction The following document provides an overview of one of the latest offerings from cloud leader Amazon Web Services (AWS). It’s a product that will enable powerful, massively scalable relational databases in Amazon’s cloud environment. The product was designed, built, and tested in secret over the past three years, and now it is nearly ready for production workloads. Some of its detailed design remains confidential, so we’ll present the released features and functionality, as well as pricing for this exciting new product. Background In November 2014, at Amazon Web Services’ annual conference re:Invent, Andy Jassy introduced a series of revolutionary new products. Among those new products is the product described in this paper, which is based on AWS’s hugely successful Relational Database Service (RDS). So what’s this new product, you ask? It’s Amazon Aurora for RDS. Aurora is MySQL compatible database solution that will enable highly scalable databases running across multiple AWS availability zones, at a very low price point. It’s designed to deliver the performance and availability of commercial grade databases at the simplicity and price point of open source databases. What is Amazon Aurora? Aurora is a MySQL compatible database engine that far exceeds the current size limitations of relational databases running on RDS. It spans three AWS availability zones within a region. The great news is that if you already use or are familiar with RDS, you’re already going to be comfortable configuring Aurora. -
Amazon Silk Developer Guide Amazon Silk Developer Guide
Amazon Silk Developer Guide Amazon Silk Developer Guide Amazon Silk: Developer Guide Copyright © 2015 Amazon Web Services, Inc. and/or its affiliates. All rights reserved. The following are trademarks of Amazon Web Services, Inc.: Amazon, Amazon Web Services Design, AWS, Amazon CloudFront, AWS CloudTrail, AWS CodeDeploy, Amazon Cognito, Amazon DevPay, DynamoDB, ElastiCache, Amazon EC2, Amazon Elastic Compute Cloud, Amazon Glacier, Amazon Kinesis, Kindle, Kindle Fire, AWS Marketplace Design, Mechanical Turk, Amazon Redshift, Amazon Route 53, Amazon S3, Amazon VPC, and Amazon WorkDocs. In addition, Amazon.com graphics, logos, page headers, button icons, scripts, and service names are trademarks, or trade dress of Amazon in the U.S. and/or other countries. Amazon©s trademarks and trade dress may not be used in connection with any product or service that is not Amazon©s, in any manner that is likely to cause confusion among customers, or in any manner that disparages or discredits Amazon. All other trademarks not owned by Amazon are the property of their respective owners, who may or may not be affiliated with, connected to, or sponsored by Amazon. AWS documentation posted on the Alpha server is for internal testing and review purposes only. It is not intended for external customers. Amazon Silk Developer Guide Table of Contents What Is Amazon Silk? .................................................................................................................... 1 Split Browser Architecture ...................................................................................................... -
Rose Gardner Mysteries
JABberwocky Literary Agency, Inc. Est. 1994 RIGHTS CATALOG 2019 JABberwocky Literary Agency, Inc. 49 W. 45th St., 12th Floor, New York, NY 10036-4603 Phone: +1-917-388-3010 Fax: +1-917-388-2998 Joshua Bilmes, President [email protected] Adriana Funke Karen Bourne International Rights Director Foreign Rights Assistant [email protected] [email protected] Follow us on Twitter: @awfulagent @jabberworld For the latest news, reviews, and updated rights information, visit us at: www.awfulagent.com The information in this catalog is accurate as of [DATE]. Clients, titles, and availability should be confirmed. Table of Contents Table of Contents Author/Section Genre Page # Author/Section Genre Page # Tim Akers ....................... Fantasy..........................................................................22 Ellery Queen ................... Mystery.........................................................................64 Robert Asprin ................. Fantasy..........................................................................68 Brandon Sanderson ........ New York Times Bestseller.......................................51-60 Marie Brennan ............... Fantasy..........................................................................8-9 Jon Sprunk ..................... Fantasy..........................................................................36 Peter V. Brett .................. Fantasy.....................................................................16-17 Michael J. Sullivan ......... Fantasy.....................................................................26-27