AWS re:Invent 2018

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NET404: Elastic Load Balancing: Deep Dive and Best Practices Dec 01, 2018

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Elastic Load Balancing (ALB & NLB) automatically distributes incoming application traffic across multiple Amazon EC2 instances for fault tolerance and load distribution. In this session, we go into detail on ELB configuration and day-to-day management. We also discuss its use with Auto Scaling, and we explain how to make decisions about the service and share best practices and useful tips for success. Finally, Netflix joins this session to share how it leveraged the authentication functionality on Application Load Balancer to help solve its workforce identity management at scale.

OIG301: BP Takes a Quantum Leap Towards a Cloud-First Network Dec 01, 2018

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BP is a global energy company with a wide reach across the world's energy system. Its network spans 75 countries providing connectivity to 400 offices, thousands of retail sites, production facilities, remote exploration locations, and data centers. To become a cloud-first company supporting thousands of remote sites, BP had to re-architect and evolve its operating model for delivering network services. In this session, representatives from BP share best practices for delivering high-bandwidth low-latency interconnectivity between BP and AWS. They outline the benefits of using native AWS networking and security features, and they share the lessons they learned around security segmentation, access policies, trust boundaries, and connectivity to untrusted networks. Join BP to learn how to prepare for mass migration to the cloud and enable at-scale cloud-native application development.

PUT202: Building the Virtual Power Plant, One Home at a Time Dec 01, 2018

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In this session, we introduce you to the application of Intel and Amazon technologies in building smart home solutions benefiting both consumers and power utilities. We cover the opportunities and challenges associated with balancing savvy consumers and energy supply and demand amidst the increasing deployment of distributed energy resources (DERs). Learn about valuable use cases and a multi-tenant services architecture that supports distributed analytic workloads and services from the edge to the cloud. Come and learn how to start applying these joint technologies to create new possibilities with advanced energy management, control, and monetization. This session is brought to you by AWS partner, Intel.

PUT301: Enhanced Customer Insights Using Natural Language Processing Dec 01, 2018

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? In this session, we'll discuss how to utilize natural language processing (NLP) to analyze data sources, such as user sentiments, conversational intent, and social media. Machine learning solutions help us bring deeper insights and relationships in texts to reduce the analysis time from weeks to days. We will highlight how quickly a machine learning-based solution can be deployed. We will dive deep into AWS services, such as AWS Lambda, Amazon SageMaker, Amazon Comprehend (Classification), Topic Modeling, and Amazon Transcribe, to rapidly develop a natural language search and analysis application to meet such requirements. We will also demonstrate how to ingest social media Tweets to generate a sentiment score to engage with the customer more effectively. Complete Title: AWS re:Invent 2018: Improving Customer Experience: Enhanced Customer Insights Using Natural Language Processing (PUT301-i)

PUT302: How AWS Improves Energy Efficiency with the Alexa Connected Home Dec 01, 2018

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Discover how AWS IoT services, Amazon Alexa, and AWS services help businesses leverage the AWS Cloud to make millions of homes safer, more efficient, and healthier for their occupants. The initial pilots on low-income customer base saw over 6-20% reduction in electricity bills using the minimal customer configuration of just Alexa and very basic smart device control. Discover how companies are using Amazon Experts to deploy Alexa and AWS IoT into millions of smart homes across wide geographies. Learn how AWS IoT Core, digital twin, AWS Lambda, and data analytics are used to execute real-time coordination logic, implement scheduled actions, and execute event-based bidirectional control architected to manage millions customers simultaneously. Learn how coupling this in-home IoT capability with cloud-based big data/ML algorithms enables new customer-centric outcomes, including appliance performance detection, improving the value of solar assets, security monitoring, and better ways to schedule daily energy-intensive tasks, such EV charging and hot water heaters.

PUT304: Distributed Solar Systems at EDF Renewables and AWS IoT: A Natural Fit Dec 01, 2018

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The AWS suite of managed services for IoT enables companies to quickly and easily deploy devices to the edge and synchronize their industrial time-series data from multiple sites to the AWS Cloud, where advanced analytics and machine learning can generate valuable insights about their business. In this session, learn how EDF Renewables used AWS Greengrass, AWS IoT Core, AWS IoT Analytics, and AWS Lambda to facilitate the collection, aggregation, and quality assurance of operational data from solar installations. Hear how working with AWS Professional Services transformed its approach to product development, and learn what challenges and solutions came with choosing leading-edge services form AWS.

RET203: Real-Time Personalized Customer Experiences at Bonobos Dec 01, 2018

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In this session, learn how Bonobos, an online retailer for men's clothing and accessories, powers their personalized customer experiences on top of AWS. We start by exploring the foundational elements required to build an effective retail data platform as well as the building blocks provided by AWS to deliver these experiences. Learn how Bonobos leverages Segment in their architecture, and hear from Bonobos and Segment on the objectives, challenges, and outcomes realized by Bonobos through their journey in constructing and deploying their personalization platform.

RET206: AI/ML with Data Lakes: Counterintuitive Consumer Insights in Retail Dec 01, 2018

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In this session, learn how data scientists in the retail industry, from companies like Tapestry, Coach, and Kate Spade, are finding new, counterintuitive consumer insights using AWS artificial intelligence services in a data lake. By leveraging data from various retail systems, including CRM, marketing, e-commerce, point of sale, order management, merchandising, and customer care, we show you how these consumer insights might influence new and interesting retail use cases while establishing a data-driven culture within the organization. Services referenced include Amazon S3, Amazon Machine Learning, Amazon QuickSight, Amazon SageMaker, among others.

RET207: Next-Generation e-Commerce Architectures Dec 01, 2018

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In this session, we review the most modern e-commerce architectures, patterns, and technologies that are being used by digital innovators. We examine micro-services as well as event-driven and event-sourced architectures. We provide examples of how these patterns are implemented on AWS, and we review the benefits of each one. Learn how to select a pattern for your workload and which combination of AWS services can be used to build them. We use real-world customer examples so you can see the practical applications of these patterns.

ROB201: NEW LAUNCH! Announcing AWS RoboMaker: A New Cloud Robotics Service Dec 01, 2018

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Robots are no longer just the subject of sci-fi movies. They're now prevalent in our lives, helping us carry out tedious housework, distribute warehouse inventory, automate manufacturing, and research lunar landscapes. Until now, developing, testing, and deploying intelligent robotics applications was difficult and time consuming. We announced AWS RoboMaker, a new service that makes it easy for developers to develop, test, and deploy robotics applications, as well as build intelligent robotics functions using cloud services. We'll invite our launch customer up for a demonstration - Robot Care Systems, a company that is enabling elderly and disabled people to live independently.

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