Interactive Attendee Guide for Oil & Gas Professionals
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Amazon.Com E-Tail Customer Fulfillment Networks Pioneer
Customer Fulfillment in the Digital Economy Amazon.com E-tail Customer Fulfillment Networks Pioneer “The logistics of distribution Scorecard are the iceberg below the 1 waterline of online bookselling.” B-web type • Aggregation (e-tail) /Agora —Jeff Bezos, (auctions, Zshops) hybrid model founder and CEO, Amazon.com KEY PARTICIPANTS “Ten years from now, no one Customers • Consumers and business buyers will remember whether Context providers • Amazon.com and online Amazon.com spent an extra merchants (Amazon.com $100,000 upgrading shipping associates, Zshops, auctions) from the West Coast to the East Content providers • Amazon.com and small online merchants (Amazon.com Coast. All that will matter is associates, Zshops, auctions) whether electronic commerce • Suppliers and b-web partners gave people a good or bad (publishers; producers [OEM]; distributors e.g. Ingram Micro, experience.”2 Baker & Taylor Books, and others) —David Risher, senior vice president for Commerce services • Amazon.com and merchants merchandising, Amazon.com participating in auctions and Zshops “This [the Amazon.com • Third party shippers (UPS & USPS) distribution warehouses and Infrastructure providers • Amazon.com Drop shippers such as Ingram CFN] is the fastest expansion of • • Technology providers such as distribution capacity in Oracle, Net Perceptions, and i2 peacetime history.”3 Technologies Third party shippers (UPS, USPS) —Jeff Bezos, • founder and CEO, Amazon.com Offering • The largest online e-tailer of books, music, videos, toys, and gifts • Recently expanded service offering to include auctions (March 1999) and Zshops (September 1999)—an aggregation of merchants on its Web site • Aspires to become a one-stop shop for merchandise on the Web CFN value proposition • “Earth’s largest selection” of merchandise at competitive prices, 360 Adelaide Street W, 4th Floor a validated product assortment, Toronto, Ontario. -
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 -
Rtcaptcha: a Real-Time CAPTCHA Based Liveness Detection System
rtCaptcha: A Real-Time CAPTCHA Based Liveness Detection System Erkam Uzun, Simon Pak Ho Chung, Irfan Essa and Wenke Lee Department of Computer Science Georgia Institute of Technology, USA Defense Threat Threat Sec. of Current Proposed User Sec. of Proposed Background Cloud Services Attacks Conclusion Methods Model Example Systems System Study System 1 Face Authentication Systems Background rtCaptcha: A Real-Time CAPTCHA Based Liveness Detection System, NDSS 2018 2 Defense Threat Threat Sec. of Current Proposed User Sec. of Proposed Background Cloud Services Attacks Conclusion Methods Model Example Systems System Study System Deep Learning Outperforms rtCaptcha: A Real-Time CAPTCHA Based Liveness Detection System, NDSS 2018 3 Defense Threat Threat Sec. of Current Proposed User Sec. of Proposed Background Cloud Services Attacks Conclusion Methods Model Example Systems System Study System Deployed by Major Companies Face Verification Cloud Services ◉ Microsoft Cognitive Services [3] ◉ Amazon Rekognition [4] ◉ Face++ [5] ◉ Kairos Human Analytics [6] rtCaptcha: A Real-Time CAPTCHA Based Liveness Detection System, NDSS 2018 4 Defense Threat Threat Sec. of Current Proposed User Sec. of Proposed Background Cloud Services Attacks Conclusion Methods Model Example Systems System Study System Attack Channels of Biometric Authentication rtCaptcha: A Real-Time CAPTCHA Based Liveness Detection System, NDSS 2018 5 Defense Threat Threat Sec. of Current Proposed User Sec. of Proposed Background Cloud Services Attacks Conclusion Methods Model Example Systems System Study System Adversarial Models vs Defense Systems 3D Face Still Video 3D Mask Model, Image Replay Attack DL-Based Attack Attack Attacks CHpa CHpa CHpa CHca Motion Extra Blink, consist., H/W, e.g., Smile… Texture, ? IR, Depth Reflect. -
“Jeff, What Does Day 2 Look Like?” That's a Question I Just Got at Our
“Jeff, what does Day 2 look like?” That’s a question I just got at our most recent all-hands meeting. I’ve been reminding people that it’s Day 1 for a couple of decades. I work in an Amazon building named Day 1, and when I moved buildings, I took the name with me. I spend time thinking about this topic. “Day 2 is stasis. Followed by irrelevance. Followed by excruciating, painful decline. Followed by death. And that is why it is always Day 1.” To be sure, this kind of decline would happen in extreme slow motion. An established company might harvest Day 2 for decades, but the final result would still come. I’m interested in the question, how do you fend off Day 2? What are the techniques and tactics? How do you keep the vitality of Day 1, even inside a large organization? Such a question can’t have a simple answer. There will be many elements, multiple paths, and many traps. I don’t know the whole answer, but I may know bits of it. Here’s a starter pack of essentials for Day 1 defense: customer obsession, a skeptical view of proxies, the eager adoption of external trends, and high-velocity decision making. True Customer Obsession There are many ways to center a business. You can be competitor focused, you can be product focused, you can be technology focused, you can be business model focused, and there are more. But in my view, obsessive customer focus is by far the most protective of Day 1 vitality. -
Cloud Methodologies for a Seamless Integrated Chatbot
Published by : International Journal of Engineering Research & Technology (IJERT) http://www.ijert.org ISSN: 2278-0181 Vol. 9 Issue 08, August-2020 Cloud Methodologies for A Seamless Integrated Chatbot Sharan Kumar Paratala Rajagopal IEEE Member Senior Manager, Capgemini America, Inc. Dallas, Texas, USA Abstract—This research paper provides details of connecting C. Seamless AWS integrations Amazon connect to Amazon pinpoint to send SMS and also Amazon Lex provides built-in integration with AWS provides some insights on how it can be integrated with social Lambda and Amazon CloudWatch and you can easily platforms such as Facebook messaging and WhatsApp. Amazon integrate with many other services on the AWS platform Lex can be leveraged as standalone bot on the website or can be including Amazon Cognito and Amazon DynamoDB. You triggered from Amazon connect for Intelligent voice responses. can take advantage of the power of the AWS platform for Keywords—Amazon Lex, Amazon Connect, Amazon Pinpoint, security, monitoring, user authentication, business logic, WhatsApp, Facebook Messaging. storage and mobile app development. I. INTRODUCTION D. Cost effective Amazon Lex [1] is a service for building conversational With Amazon Lex, there are no upfront costs or minimum interfaces into any application using voice and text. Amazon fees. You are only charged for the text or speech requests that Lex provides the advanced deep learning functionalities of are made. Amazon Lex’ pay-as-you-go pricing and low cost automatic speech recognition (ASR) for converting speech to per request makes it a cost-effective way to build text, and natural language understanding (NLU) to recognize conversational interfaces anywhere. -
The Essential Guide to Telecommunications, Sixth Edition
PRAISE FOR THE ESSENTIAL GUIDE TO TELECOMMUNICATIONS, SIXTH EDITION “Dodd’s The Essential Guide to Telecommunications provides the history and context that make a fundamental underpinning of modern business more accessible to technologists and businesspeople alike. This new edition of her primer is an essential reference in the continuously evolving communica- tions landscape.” —Tom Hopcroft, President and CEO, Mass Technology Leadership Council “Annabel Dodd’s book is a clear guide and big-picture view of technologies and industries. It is an up-to-date guide for anyone who wants to be familiar with important innovations and key technologies. This is truly an industry bible for mobile, Internet, and networking services.” —Hiawatha Bray, Technology Reporter, The Boston Globe “Ms. Dodd’s aptly titled The Essential Guide to Telecommunications has been my bible for all things telecom since my days as an AT&T transmission network engineer nearly twenty years ago. Exhaus- tively and meticulously researched, concisely written for lay folks and techs/engineers alike, this book aids me in my current role as an IT Support Technician II when discussing new technology with our telecommunications department. Thank you to Ms. Dodd for keeping us all current!” —Todd Garbarini, IT Support Technician II Commvault Systems, Inc. “The Essential Guide to Telecommunications is probably one of the most useful and well-written books on our telecom bookshelf. Annabel Z. Dodd does a great job of capturing a snapshot of the current telecom industry. Even those with little or no technical training should be able to understand the text. This is the perfect book for salespeople who want to learn more about the products and services they are selling, or for those who just want to keep up to date on the latest in telecom technology.” —William Van Hefner, President, Vantek Communications, Inc. -
AWS Is How Game Tech Volume 2
Behind great games, there’s game tech. AWS is How Game Tech Volume 2 AWS IS HOW GAME TECH EDITION Volume 2 2 Player profile Player Player ID: Eric Morales Classification: Reconnecting through tech Head of AWS Game Tech EMEA Player history Stockholm Joined Gamer since 59°32′N 18°06′E July 2015 1995 Over the past year, many of us have felt compelled to escape into a game, even if only for a few hours. Technology has been our salvation and our solace. When we’ve been forced to stay apart, tech has helped us to feel connected, whether by racing strangers through virtual cities or teaming up to battle awesome foes in Wolcen: Lords of Mayhem. There has, perhaps, never been a greater keep pushing forward on a bumpy road and instead of sticking to a plan that no longer Perhaps one of the key things we can need for the escape that gaming gives when to somersaulto a ne ont w one. fits. New ideas come through all the time learn from these studios is that adversity us. So I’d like to say an extra thank you to and you have to embrace them.” can spark the creativity we need to build Building on AWS gives studios the chance the studios we’re featuring in this issue. something truly spectacular. In many to experiment, innovate, and make For some of the developers we spoke Without you, lockdown would have been games, your character levels up and gets mistakes in order to keep forging ahead. to, the pandemic has been just one of just a little bit harder for so many millions stronger regardless of your own skill, which I’m 100 percent with Roberta Lucca many hurdles they’ve overcome. -
Planning and Designing Databases on AWS (AWS-PD-DB)
Planning and Designing Databases on AWS (AWS-PD-DB) COURSE OVERVIEW: In this course, you will learn about the process of planning and designing both relational and nonrelational databases. You will learn the design considerations for hosting databases on Amazon Elastic Compute Cloud (Amazon EC2). You will learn about our relational database services including Amazon Relational Database Service (Amazon RDS), Amazon Aurora, and Amazon Redshift. You will also learn about our nonrelational database services including Amazon DocumentDB, Amazon DynamoDB, Amazon ElastiCache, Amazon Neptune, and Amazon QLDB. By the end of this course, you will be familiar with the planning and design requirements of all 8 of these AWS databases services, their pros and cons, and how to know which AWS databases service is right for your workloads. WHO WILL BENEFIT FROM THIS COURSE? • Data platform engineers • Database administrators • Solutions architects • IT professionals PREREQUISITES: We recommend that attendees of this course have previously completed the following AWS courses: • AWS Database Offerings digital training • Data Analytics Fundamentals digital training • Architecting on AWS classroom training COURSE OBJECTIVES: After completion of this course, students will be able to... • Apply database concepts, database management, and data modeling techniques • Evaluate hosting databases on Amazon EC2 instances • Evaluate relational database services (Amazon RDS, Amazon Aurora, and Amazon Redshift) and their features • Evaluate nonrelational database services -
Analytics Lens AWS Well-Architected Framework Analytics Lens AWS Well-Architected Framework
Analytics Lens AWS Well-Architected Framework Analytics Lens AWS Well-Architected Framework Analytics Lens: 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. Analytics Lens AWS Well-Architected Framework Table of Contents Abstract ............................................................................................................................................ 1 Abstract .................................................................................................................................... 1 Introduction ...................................................................................................................................... 2 Definitions ................................................................................................................................. 2 Data Ingestion Layer ........................................................................................................... 2 Data Access and Security Layer ............................................................................................ 3 Catalog and Search Layer ................................................................................................... -
Foregrounding Narrative Production in Serial Fiction Publishing
University of Rhode Island DigitalCommons@URI Open Access Dissertations 2017 To Start, Continue, and Conclude: Foregrounding Narrative Production in Serial Fiction Publishing Gabriel E. Romaguera University of Rhode Island, [email protected] Follow this and additional works at: https://digitalcommons.uri.edu/oa_diss Recommended Citation Romaguera, Gabriel E., "To Start, Continue, and Conclude: Foregrounding Narrative Production in Serial Fiction Publishing" (2017). Open Access Dissertations. Paper 619. https://digitalcommons.uri.edu/oa_diss/619 This Dissertation is brought to you for free and open access by DigitalCommons@URI. It has been accepted for inclusion in Open Access Dissertations by an authorized administrator of DigitalCommons@URI. For more information, please contact [email protected]. TO START, CONTINUE, AND CONCLUDE: FOREGROUNDING NARRATIVE PRODUCTION IN SERIAL FICTION PUBLISHING BY GABRIEL E. ROMAGUERA A DISSERTATION SUBMITTED IN PARTIAL FULLFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY IN ENGLISH UNIVERSITY OF RHODE ISLAND 2017 DOCTOR OF PHILOSOPHY DISSERTATION OF Gabriel E. Romaguera APPROVED: Dissertation Committee: Major Professor Valerie Karno Carolyn Betensky Ian Reyes Nasser H. Zawia DEAN OF THE GRADUATE SCHOOL UNIVERSITY OF RHODE ISLAND 2017 Abstract This dissertation explores the author-text-reader relationship throughout the publication of works of serial fiction in different media. Following Pierre Bourdieu’s notion of authorial autonomy within the fields of cultural production, I trace the outside influence that nonauthorial agents infuse into the narrative production of the serialized. To further delve into the economic factors and media standards that encompass serial publishing, I incorporate David Hesmondhalgh’s study of market forces, originally used to supplement Bourdieu’s analysis of fields. -
Amazon Officials Pitched Their Facial Recognition Software to ICE 24 October 2018, by Matt Day, the Seattle Times
Amazon officials pitched their facial recognition software to ICE 24 October 2018, by Matt Day, The Seattle Times Amazon officials earlier this year pitched the employee sent to someone at ICE containing a link company's controversial facial recognition software to an Amazon blog post questioning the ACLU's to the U.S. Immigration and Customs Enforcement methodology in its experiment on members of agency, according to documents uncovered by the Congress and sticking up for Rekognition's utility. Project on Government Oversight. The link "may be of interest given your ongoing efforts," the sales employee wrote. The disclosure comes as Amazon's product and similar tools built by other companies come under The second email, also from an AWS sales scrutiny from civil-liberties groups, legislators and employee, referred to an apparent meeting in June even some of their own employees because of the between AWS employees and a representative of technology's potential for misuse. ICE's Homeland Security Investigations team at the Redwood City, Calif., offices of consulting giant The relationship between high-tech firms and ICE McKinsey & Co. Included on a list of follow-up has also been a flashpoint since the outcry over items was a bullet point about Rekognition's the agency's enforcement of a Trump capabilities. "Thanks again for your interest in AWS administration policy of separating migrant parents to support ICE and the HSI mission," the email and children arriving at the U.S. border. Employee concluded. groups at Microsoft, Google and Amazon have all raised concerns about their companies' Matthew Bourke, a spokesman for ICE, said in an relationship with ICE or Defense Department emailed statement that the agency doesn't have a projects.