Amazon.Com Announces Financial Results and Ceo Transition
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GLAAD Media Institute Began to Track LGBTQ Characters Who Have a Disability
Studio Responsibility IndexDeadline 2021 STUDIO RESPONSIBILITY INDEX 2021 From the desk of the President & CEO, Sarah Kate Ellis In 2013, GLAAD created the Studio Responsibility Index theatrical release windows and studios are testing different (SRI) to track lesbian, gay, bisexual, transgender, and release models and patterns. queer (LGBTQ) inclusion in major studio films and to drive We know for sure the immense power of the theatrical acceptance and meaningful LGBTQ inclusion. To date, experience. Data proves that audiences crave the return we’ve seen and felt the great impact our TV research has to theaters for that communal experience after more than had and its continued impact, driving creators and industry a year of isolation. Nielsen reports that 63 percent of executives to do more and better. After several years of Americans say they are “very or somewhat” eager to go issuing this study, progress presented itself with the release to a movie theater as soon as possible within three months of outstanding movies like Love, Simon, Blockers, and of COVID restrictions being lifted. May polling from movie Rocketman hitting big screens in recent years, and we remain ticket company Fandango found that 96% of 4,000 users hopeful with the announcements of upcoming queer-inclusive surveyed plan to see “multiple movies” in theaters this movies originally set for theatrical distribution in 2020 and summer with 87% listing “going to the movies” as the top beyond. But no one could have predicted the impact of the slot in their summer plans. And, an April poll from Morning COVID-19 global pandemic, and the ways it would uniquely Consult/The Hollywood Reporter found that over 50 percent disrupt and halt the theatrical distribution business these past of respondents would likely purchase a film ticket within a sixteen months. -
Security in Cloud Computing a Security Assessment of Cloud Computing Providers for an Online Receipt Storage
Security in Cloud Computing A Security Assessment of Cloud Computing Providers for an Online Receipt Storage Mats Andreassen Kåre Marius Blakstad Master of Science in Computer Science Submission date: June 2010 Supervisor: Lillian Røstad, IDI Norwegian University of Science and Technology Department of Computer and Information Science Problem Description We will survey some current cloud computing vendors and compare them to find patterns in how their feature sets are evolving. The start-up firm dSafe intends to exploit the promises of cloud computing in order to launch their business idea with only marginal hardware and licensing costs. We must define the criteria for how dSafe's application can be sufficiently secure in the cloud as well as how dSafe can get there. Assignment given: 14. January 2010 Supervisor: Lillian Røstad, IDI Abstract Considerations with regards to security issues and demands must be addressed before migrating an application into a cloud computing environment. Different vendors, Microsoft Azure, Amazon Web Services and Google AppEngine, provide different capabilities and solutions to the individual areas of concern presented by each application. Through a case study of an online receipt storage application from the company dSafe, a basis is formed for the evaluation. The three cloud computing vendors are assessed with regards to a security assessment framework provided by the Cloud Security Alliance and the application of this on the case study. Finally, the study is concluded with a set of general recommendations and the recommendation of a cloud vendor. This is based on a number of security as- pects related to the case study’s existence in the cloud. -
1 August 12, 2021 Andy Jassy President and CEO
August 12, 2021 Andy Jassy President and CEO Amazon.com Inc. 410 Terry Ave. North Seattle, WA 98109 Dear Mr. Jassy: We write regarding concerns about Amazon’s recent expansion and promotion of Amazon One, a palm print recognition system, and to request information about the actions Amazon is taking to protect user data privacy and security. Amazon One appears to be a biometric data recognition system that allows consumers to pay for their purchases in grocery stores, book stores, and other retail settings using their palm print.1 Consumers can enroll in the program at any location with an Amazon One device by scanning one or both palms and entering their phone and credit card information.2 Amazon One devices are currently in use in more than 50 retail locations throughout the United States, including in Minnesota.3 Locations with the technology currently include Amazon Go stores, Whole Foods locations, and other Amazon stores. Recent reports indicate that Amazon is incentivizing consumers to share their biometric information with Amazon One by offering a $10 promotional credit for Amazon.com products. 4 Amazon has also announced that they have plans to expand Amazon One, which may include introducing the technology in other Amazon stores as well as selling it to third-party stores.5,6 Amazon’s expansion of biometric data collection through Amazon One raises serious questions about Amazon’s plans for this data and its respect for user privacy, including about how Amazon may use the data for advertising and tracking purposes. 1 Amazon One – How it works https://one.amazon.com/how-it-works/ (Last visited August 4, 2021). -
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. -
Smart Speakers & Their Impact on Music Consumption
Everybody’s Talkin’ Smart Speakers & their impact on music consumption A special report by Music Ally for the BPI and the Entertainment Retailers Association Contents 02"Forewords 04"Executive Summary 07"Devices Guide 18"Market Data 22"The Impact on Music 34"What Comes Next? Forewords Geoff Taylor, chief executive of the BPI, and Kim Bayley, chief executive of ERA, on the potential of smart speakers for artists 1 and the music industry Forewords Kim Bayley, CEO! Geoff Taylor, CEO! Entertainment Retailers Association BPI and BRIT Awards Music began with the human voice. It is the instrument which virtually Smart speakers are poised to kickstart the next stage of the music all are born with. So how appropriate that the voice is fast emerging as streaming revolution. With fans consuming more than 100 billion the future of entertainment technology. streams of music in 2017 (audio and video), streaming has overtaken CD to become the dominant format in the music mix. The iTunes Store decoupled music buying from the disc; Spotify decoupled music access from ownership: now voice control frees music Smart speakers will undoubtedly give streaming a further boost, from the keyboard. In the process it promises music fans a more fluid attracting more casual listeners into subscription music services, as and personal relationship with the music they love. It also offers a real music is the killer app for these devices. solution to optimising streaming for the automobile. Playlists curated by streaming services are already an essential Naturally there are challenges too. The music industry has struggled to marketing channel for music, and their influence will only increase as deliver the metadata required in a digital music environment. -
To the Strategy of Amazon Prime
to the strategy of Amazon Prime “Even if a brick and mortar store does everything right, even if the store is exactly where you parked your car and it puts the thing you want right in the window and is having a sale on it that day— if you’re a Prime customer, it’s easier to buy from Amazon.” Mike Shatzkin, CEO of The Idea Logical Company Side 2 af 2 Overview: Main points and conclusions • Amazon is the world’s leading e- third of Amazon’s turnover in the commerce business with an annual US derives from Prime member- turnover of more than 100 billion ships. Prime is also an important USD and its growth is still expo- part of Amazon’s strategy for the nential. At the same time, Amazon future that revolves around a com- is one of the world’s leading sub- plete disruption of the interplay scription businesses with Amazon between e-commerce and retail Prime. The service is believed to and a domination of the same-day have above 80 million members delivery market. worldwide. • To win the position as the same- • Amazon prime is considered a sig- day delivery dominator in the mar- nificant part of Amazon’s great ket, Amazon has entered the mar- success. Amazon Prime members ket for groceries in the US. Ama- pay an annual sum of 99 USD or a zonFresh delivers groceries and monthly sum of 10.99 USD and get other goods directly to the cus- free two-day delivery on more than tomer’s doorstep on the same day 15 million different items. -
[XIAY]⋙ Big Data Science & Analytics: a Hands-On Approach By
Big Data Science & Analytics: A Hands-On Approach Arshdeep Bahga, Vijay Madisetti Click here if your download doesn"t start automatically Big Data Science & Analytics: A Hands-On Approach Arshdeep Bahga, Vijay Madisetti Big Data Science & Analytics: A Hands-On Approach Arshdeep Bahga, Vijay Madisetti We are living in the dawn of what has been termed as the "Fourth Industrial Revolution", which is marked through the emergence of "cyber-physical systems" where software interfaces seamlessly over networks with physical systems, such as sensors, smartphones, vehicles, power grids or buildings, to create a new world of Internet of Things (IoT). Data and information are fuel of this new age where powerful analytics algorithms burn this fuel to generate decisions that are expected to create a smarter and more efficient world for all of us to live in. This new area of technology has been defined as Big Data Science and Analytics, and the industrial and academic communities are realizing this as a competitive technology that can generate significant new wealth and opportunity. Big data is defined as collections of datasets whose volume, velocity or variety is so large that it is difficult to store, manage, process and analyze the data using traditional databases and data processing tools. Big data science and analytics deals with collection, storage, processing and analysis of massive-scale data. Industry surveys, by Gartner and e-Skills, for instance, predict that there will be over 2 million job openings for engineers and scientists trained in the area of data science and analytics alone, and that the job market is in this area is growing at a 150 percent year-over-year growth rate. -
March 4, 2021 Jeff Bezos Chief Executive Officer Amazon.Com, Inc
DELAWARE GENERAL ASSEMBLY LEGISLATIVE HALL DOVER, DELAWARE 19901 March 4, 2021 Jeff Bezos Chief Executive Officer Amazon.com, Inc. 410 Terry Ave. N Seattle, WA 98109 Andy Jassy Chief Executive Officer Amazon Web Services 410 Terry Ave. N Seattle, WA 98109 RE: Encouraging a free and fair National Labor Relations Board election Dear Mr. Bezos and Mr. Jassy: Last week President Biden delivered a clear and unequivocal message to Amazon, its many thousands of employees, and the American people: Workers in the United States have the right and the freedom to organize and to advocate for their best interests in the workplace, and no company has the right to silence their voices, period. We write to echo the President’s sentiments and strongly urge Amazon to respect a free and fair National Labor Relations Board election in Bessemer, Alabama that will have implications for workers all across the nation, including several thousand of our constituents in Delaware. Amazon has realized enormous success through the pandemic, reaping record profits while continuing to grow and expand its services to an ever greater number of customers. While technology and innovation play key roles in Amazon’s unprecedented achievements in the world of commerce, your company is built on its workers. Your professional accomplishments and your personal fortunes are directly attributable to the productivity of Amazon’s workforce. Please remember this as you direct your company strategy related to organized labor and the fair treatment of your employees. Reports of the tactics employed by Amazon to oppose the organization effort in Alabama are troubling to say the least. -
Data Warehousing on AWS
Data Warehousing on AWS March 2016 Amazon Web Services – Data Warehousing on AWS March 2016 © 2016, Amazon Web Services, Inc. or its affiliates. All rights reserved. Notices This document is provided for informational purposes only. It represents AWS’s current product offerings and practices as of the date of issue of this document, which are subject to change without notice. Customers are responsible for making their own independent assessment of the information in this document and any use of AWS’s products or services, each of which is provided “as is” without warranty of any kind, whether express or implied. This document does not create any warranties, representations, contractual commitments, conditions or assurances from AWS, its affiliates, suppliers or licensors. The responsibilities and liabilities of AWS to its customers are controlled by AWS agreements, and this document is not part of, nor does it modify, any agreement between AWS and its customers. Page 2 of 26 Amazon Web Services – Data Warehousing on AWS March 2016 Contents Abstract 4 Introduction 4 Modern Analytics and Data Warehousing Architecture 6 Analytics Architecture 6 Data Warehouse Technology Options 12 Row-Oriented Databases 12 Column-Oriented Databases 13 Massively Parallel Processing Architectures 15 Amazon Redshift Deep Dive 15 Performance 15 Durability and Availability 16 Scalability and Elasticity 16 Interfaces 17 Security 17 Cost Model 18 Ideal Usage Patterns 18 Anti-Patterns 19 Migrating to Amazon Redshift 20 One-Step Migration 20 Two-Step Migration 20 Tools for Database Migration 21 Designing Data Warehousing Workflows 21 Conclusion 24 Further Reading 25 Page 3 of 26 Amazon Web Services – Data Warehousing on AWS March 2016 Abstract Data engineers, data analysts, and developers in enterprises across the globe are looking to migrate data warehousing to the cloud to increase performance and lower costs. -
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. -
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.