Amazon Enters the Cloud Computing Business
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1 of 6 C O R P O R a T E Amazon/Acquisitions the Chart
CORPORATE Amazon/Acquisitions The chart below delineates Amazon’s biggest acquisitions, according to Thomson Reuters Deal Intelligence, as reported by The Wall Street Journal: Company Deal Value (Billions) Whole Foods MarKet $13.70 Zappos.com $1.20 Twitch Interactive $0.97 Kiva Systems $0.78 Souq.com $0.70 Quidsi $0.55 Elemental Technologies $0.30 Atlas Air Worldwide $0.28 Alexa Internet $0.26 Exchange.com $0.25 SoftBanK/Charter In early August, Charter Communications passed on the idea of acquiring Sprint, which is majority owned by SoftBanK, a Japanese telecommunications company. Last week, rumors began to circulate that SoftBank is exploring a complex taKeover of Charter. FAST FOOD Little Caesars/Portal Pizza chain Little Caesars introduce The Pizza Portal, a machine that lets Machine customers who order pies to skip the line, grab their pizza and go in more than a dozen locations in the Tucson (AZ) area. How it worKs: download an app to order and pay for food, receive a three digit or QR code and once in the store enter or scan the code to open a self-service hot box at the shop. GLOBAL Nuclear Warheads Estimated nuclear warhead inventories, as reported by The Wall Street Journal: Country Warheads Country Warheads Russia 7,000 Pakistan 140 U.S. 6,800 India 130 France 300 Israel 80 China 270 North Korea 10* U.K. 215 Pakistan 140 *Projection 1 of 6 MOVIES TicKet Sales According to Nielsen, North American box office ticKet sales are down 2.9% even with ticKet prices higher than the prior year – maKing up for some of the diminished theater attendance. -
The Internet and Drug Markets
INSIGHTS EN ISSN THE INTERNET AND DRUG MARKETS 2314-9264 The internet and drug markets 21 The internet and drug markets EMCDDA project group Jane Mounteney, Alessandra Bo and Alberto Oteo 21 Legal notice This publication of the European Monitoring Centre for Drugs and Drug Addiction (EMCDDA) is protected by copyright. The EMCDDA accepts no responsibility or liability for any consequences arising from the use of the data contained in this document. The contents of this publication do not necessarily reflect the official opinions of the EMCDDA’s partners, any EU Member State or any agency or institution of the European Union. Europe Direct is a service to help you find answers to your questions about the European Union Freephone number (*): 00 800 6 7 8 9 10 11 (*) The information given is free, as are most calls (though some operators, phone boxes or hotels may charge you). More information on the European Union is available on the internet (http://europa.eu). Luxembourg: Publications Office of the European Union, 2016 ISBN: 978-92-9168-841-8 doi:10.2810/324608 © European Monitoring Centre for Drugs and Drug Addiction, 2016 Reproduction is authorised provided the source is acknowledged. This publication should be referenced as: European Monitoring Centre for Drugs and Drug Addiction (2016), The internet and drug markets, EMCDDA Insights 21, Publications Office of the European Union, Luxembourg. References to chapters in this publication should include, where relevant, references to the authors of each chapter, together with a reference to the wider publication. For example: Mounteney, J., Oteo, A. and Griffiths, P. -
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. -
Amazon's Antitrust Paradox
LINA M. KHAN Amazon’s Antitrust Paradox abstract. Amazon is the titan of twenty-first century commerce. In addition to being a re- tailer, it is now a marketing platform, a delivery and logistics network, a payment service, a credit lender, an auction house, a major book publisher, a producer of television and films, a fashion designer, a hardware manufacturer, and a leading host of cloud server space. Although Amazon has clocked staggering growth, it generates meager profits, choosing to price below-cost and ex- pand widely instead. Through this strategy, the company has positioned itself at the center of e- commerce and now serves as essential infrastructure for a host of other businesses that depend upon it. Elements of the firm’s structure and conduct pose anticompetitive concerns—yet it has escaped antitrust scrutiny. This Note argues that the current framework in antitrust—specifically its pegging competi- tion to “consumer welfare,” defined as short-term price effects—is unequipped to capture the ar- chitecture of market power in the modern economy. We cannot cognize the potential harms to competition posed by Amazon’s dominance if we measure competition primarily through price and output. Specifically, current doctrine underappreciates the risk of predatory pricing and how integration across distinct business lines may prove anticompetitive. These concerns are height- ened in the context of online platforms for two reasons. First, the economics of platform markets create incentives for a company to pursue growth over profits, a strategy that investors have re- warded. Under these conditions, predatory pricing becomes highly rational—even as existing doctrine treats it as irrational and therefore implausible. -
New Architectures for Sustainable Social Networking
Supporting Kalyāṇamittatā Online: New Architectures for Sustainable Social Networking Paul Trafford Oxford, UK [email protected] 1-2 December 2010 3rd World Conference on Buddhism and Science 1 About these slides (version 1.0s for Slideshare) These slides are based on those that I used for a presentation entitled: Supporting Kalyāṇamittatā Online: New Architectures for Sustainable Social Networking given at the 3rd World Conference on Buddhism and Science ( http://www.wcbsthailand.com/ ) held 1-2 December 2010 at the College of Religious Studies, Mahidol University, Thailand. The slides are generally the same, except here I've inserted details of citations. Note also that some words use diacritics and were authored with the Times Ext Roman font. The content is provided under the Creative Commons License 2.0 Attribution 2.0 Generic. - Paul Trafford, Oxford. 1-2 December 2010 3rd World Conference on Buddhism and Science 2 Preface: School Friends "Paul"Paul doesn'tdoesn't havehave manymany friendsfriends butbut hehe hashas goodgood friends.”friends.” Teacher,Teacher, Parents'Parents' Evening,Evening, HagleyHagley FirstFirst SchoolSchool c.1977c.1977 1-2 December 2010 3rd World Conference on Buddhism and Science 3 Photo copyright © Hagley Community Association Overview of Presentation 1. Introduction 2. Approaches in Social Sciences: Well-being 3. Buddhist Architectures for Sustainable Relationships Online 4. Conclusions 1-2 December 2010 3rd World Conference on Buddhism and Science 4 Part 1: Introduction 1-2 December 2010 3rd World -
Performance at Scale with Amazon Elasticache
Performance at Scale with Amazon ElastiCache July 2019 Notices Customers are responsible for making their own independent assessment of the information in this document. This document: (a) is for informational purposes only, (b) represents current AWS product offerings and practices, which are subject to change without notice, and (c) does not create any commitments or assurances from AWS and its affiliates, suppliers or licensors. AWS products or services are provided “as is” without warranties, representations, or conditions of any kind, whether express or implied. 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. © 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved. Contents Introduction .......................................................................................................................... 1 ElastiCache Overview ......................................................................................................... 2 Alternatives to ElastiCache ................................................................................................. 2 Memcached vs. Redis ......................................................................................................... 3 ElastiCache for Memcached ............................................................................................... 5 Architecture with ElastiCache for Memcached ............................................................... -
Everything You Need to Know About Internet Marketing
© Tourism Intelligence International www.tourism-intelligence.com Everything You Need to Know About Internet Marketing Market Intelligence Report www.Tourism-Intelligence.com Everything You Need to Know about Internet Marketing 1 www.tourism-intelligence.com © Tourism Intelligence International 2 Everything You Need to Know about Internet Marketing © Tourism Intelligence International www.tourism-intelligence.com Tourism Intelligence International is a leading research and consultancy company with offices in Germany and Trinidad. This report — Everything You Need to Know About Internet Marketing — is another in a series of tourism market analyses. Tourism Intelligence International is the publisher of Tourism Industry Intelligence, a monthly newsletter that provides analyses of and tracks the key trends and developments in the international travel and tourism industry, that is also available in Spanish. Other reports from Tourism Intelligence International include: Travel & Tourism’s Top Ten Emerging Markets €999.00 How Americans will Travel 2015 €1,299.00 How Germans will Travel 2015 €1,299.00 Everything you Need to Know about Internet Marketing €1,299.00 Sustainable Tourism Development – A Practical Guide for €1,299.00 Decision-Makers Successful Hotels and Resorts – Lessons from the Leaders €1,299.00 Successful Tourism Destinations – Lessons from the Leaders €1,299.00 The Impact of the Global Recession on Travel and Tourism €499.00 How the British will Travel 2015 €1,299.00 How the Japanese will Travel 2007 €799.00 Impact of Terrorism on World Tourism €499.00 Old but not Out – How to Win and Woo the Over 50s market €499.00 The ABC’s of Generation X, Y and Z Travellers €999.00 Tourism Intelligence International: German Office Trinidad Office An der Wolfskuhle 48 8 Dove Dr, P.O. -
A Data-Driven Analysis of Workers' Earnings on Amazon Mechanical Turk
A Data-Driven Analysis of Workers’ Earnings on Amazon Mechanical Turk Kotaro Hara1,2, Abi Adams3, Kristy Milland4,5, Saiph Savage6, Chris Callison-Burch7, Jeffrey P. Bigham1 1Carnegie Mellon University, 2Singapore Management University, 3University of Oxford 4McMaster University, 5TurkerNation.com, 6West Virginia University, 7University of Pennsylvania [email protected] ABSTRACT temporarily out-of-work engineers to work [1,4,39,46,65]. A growing number of people are working as part of on-line crowd work. Crowd work is often thought to be low wage Yet, despite the potential for crowdsourcing platforms to work. However, we know little about the wage distribution extend the scope of the labor market, many are concerned in practice and what causes low/high earnings in this that workers on crowdsourcing markets are treated unfairly setting. We recorded 2,676 workers performing 3.8 million [19,38,39,42,47,59]. Concerns about low earnings on crowd tasks on Amazon Mechanical Turk. Our task-level analysis work platforms have been voiced repeatedly. Past research revealed that workers earned a median hourly wage of only has found evidence that workers typically earn a fraction of ~$2/h, and only 4% earned more than $7.25/h. While the the U.S. minimum wage [34,35,37–39,49] and many average requester pays more than $11/h, lower-paying workers report not being paid for adequately completed requesters post much more work. Our wage calculations are tasks [38,51]. This is problematic as income generation is influenced by how unpaid work is accounted for, e.g., time the primary motivation of workers [4,13,46,49]. -
Online-Buchhandel in Deutschland Die Buchhandelsbranche Vor Der Herausforderung Des Internet
Online-Buchhandel in Deutschland Die Buchhandelsbranche vor der Herausforderung des Internet Ulrich Riehm, Carsten Orwat und Bernd Wingert sind wissenschaftliche Mitarbeiter des Instituts für Technikfolgenabschätzung und Systemanaly- se (ITAS) des Forschungszentrums Karlsruhe. Kontakt: Forschungszentrum Karlsruhe, ITAS, Postfach 3640, 76021 Karlsruhe Tel.: 07247/82-2501, Fax: 07247/82-4806, E-Mail: [email protected] Die Projektseite im Internet lautet: http://www.itas.fzk.de/deu/projekt/pob.htm Die Studie zum Online-Buchhandel in Deutsch- land wurde durchgeführt im Auftrag der Akade- mie für Technikfolgenabschätzung in Baden- Württemberg, Stuttgart. Ulrich Riehm, Carsten Orwat, Bernd Wingert Online-Buchhandel in Deutschland Die Buchhandelsbranche vor der Herausforderung des Internet Forschungszentrum Karlsruhe Technik und Umwelt © Copyright 2001 Ulrich Riehm, Carsten Orwat, Bernd Wingert – Karlsruhe Überarbeitete und erweiterte Fassung des als Ar- beitsbericht Nr. 192 bei der Akademie für Tech- nikfolgenabschätzung in Baden-Württemberg unter gleichem Titel erschienen Berichts. Das Werk einschließlich aller seiner Teile ist ur- heberrechtlich geschützt. Jede Verwertung ist ohne Zustimmung der Autoren unzulässig. Das gilt insbesondere für Vervielfältigungen, Über- setzungen, Mikroverfilmungen, die Einspeiche- rung und Verarbeitung in elektronische Systeme, die körperliche und unkörperliche Wiedergabe am Bildschirm oder auf dem Wege der Daten- fernübertragung. Umschlaggestaltung: Nicole Gross, Forschungs- zentrum Karlsruhe Umschlagfoto: Markus Breig, Forschungs- zentrum Karlsruhe Bezugswege: Die gedruckte Ausgabe kann über jede stationäre wie Internet-Buchhandlung bezogen werden oder auch direkt bei Books on Demand GmbH, Norderstedt (http://www.bod.de). Die elektronischen Ausgaben, vollständig oder kapitelweise, zum Lesen am Bildschirm oder zum Ausdrucken auf dem Bürodrucker, sind erhält- lich über Spezialbuchläden für elektronische Bü- cher und bei allgemeinen Online-Buchläden: http://www.ciando.com, http://www.epodium.de, http://www.dibi.de, http://www.amazon.de. -
Is Amazon the Next Google?
A Service of Leibniz-Informationszentrum econstor Wirtschaft Leibniz Information Centre Make Your Publications Visible. zbw for Economics Budzinski, Oliver; Köhler, Karoline Henrike Working Paper Is Amazon the next Google? Ilmenau Economics Discussion Papers, No. 97 Provided in Cooperation with: Ilmenau University of Technology, Institute of Economics Suggested Citation: Budzinski, Oliver; Köhler, Karoline Henrike (2015) : Is Amazon the next Google?, Ilmenau Economics Discussion Papers, No. 97, Technische Universität Ilmenau, Institut für Volkswirtschaftslehre, Ilmenau This Version is available at: http://hdl.handle.net/10419/142322 Standard-Nutzungsbedingungen: Terms of use: Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Documents in EconStor may be saved and copied for your Zwecken und zum Privatgebrauch gespeichert und kopiert werden. personal and scholarly purposes. Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle You are not to copy documents for public or commercial Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich purposes, to exhibit the documents publicly, to make them machen, vertreiben oder anderweitig nutzen. publicly available on the internet, or to distribute or otherwise use the documents in public. Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, If the documents have been made available under an Open gelten abweichend von diesen Nutzungsbedingungen die in der dort Content Licence (especially -
Amazon Mechanical Turk Developer Guide API Version 2017-01-17 Amazon Mechanical Turk Developer Guide
Amazon Mechanical Turk Developer Guide API Version 2017-01-17 Amazon Mechanical Turk Developer Guide Amazon Mechanical Turk: Developer Guide 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 Mechanical Turk Developer Guide Table of Contents What is Amazon Mechanical Turk? ........................................................................................................ 1 Mechanical Turk marketplace ....................................................................................................... 1 Marketplace rules ............................................................................................................... 2 The sandbox marketplace .................................................................................................... 2 Tasks that work well on Mechanical Turk ...................................................................................... 3 Tasks can be completed within a web browser ....................................................................... 3 Work can be broken into distinct, bite-sized tasks ................................................................. -
Dspace Cover Page
Human-powered sorts and joins The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Citation Adam Marcus, Eugene Wu, David Karger, Samuel Madden, and Robert Miller. 2011. Human-powered sorts and joins. Proc. VLDB Endow. 5, 1 (September 2011), 13-24. As Published http://www.vldb.org/pvldb/vol5.html Publisher VLDB Endowment Version Author's final manuscript Citable link http://hdl.handle.net/1721.1/73192 Terms of Use Creative Commons Attribution-Noncommercial-Share Alike 3.0 Detailed Terms http://creativecommons.org/licenses/by-nc-sa/3.0/ Human-powered Sorts and Joins Adam Marcus Eugene Wu David Karger Samuel Madden Robert Miller {marcua,sirrice,karger,madden,rcm}@csail.mit.edu ABSTRACT There are several reasons that systems like MTurk are of interest Crowdsourcing marketplaces like Amazon’s Mechanical Turk (MTurk) database researchers. First, MTurk workflow developers often imple- make it possible to task people with small jobs, such as labeling im- ment tasks that involve familiar database operations such as filtering, ages or looking up phone numbers, via a programmatic interface. sorting, and joining datasets. For example, it is common for MTurk MTurk tasks for processing datasets with humans are currently de- workflows to filter datasets to find images or audio on a specific sub- signed with significant reimplementation of common workflows and ject, or rank such data based on workers’ subjective opinion. Pro- ad-hoc selection of parameters such as price to pay per task. We de- grammers currently waste considerable effort re-implementing these scribe how we have integrated crowds into a declarative workflow operations because reusable implementations do not exist.