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14221 - Serverless Reactive Microservices on AWS In this talk, we will cover the concepts of Reactive Microservices Architecture, a set of patterns and best practices for implementing backend systems with very high scaling and availability guarantees. We will then show how these patterns and best practices can be implemented as serverless applications using AWS technologies like AWS Lambda, Amazon API Gateway, Amazon DynamoDB and Amazon Kinesis. A demo of a serverless microservice will be included as well as discussion of pitfalls to consider when running these microservices in a production environment. Chalk Talk
16453 - Best Practices for Using AWS Lambda with RDS/RDBMS Solutions Are you considering using AWS Lambda with your RDS/RDBMS solutions, but don’t know where to start? In this session, we look at recommended architectural patterns and best practices around using RDS/RDBMS solutions with Lambda functions. We also discuss migration steps, covering migration from on-premises RDBMS solutions to AWS serverless infrastructure (keeping the same RDBMS application model). Come and join our discussion, ask questions, and learn more about using Lambda with RDS/RDBMS solutions. Chalk Talk
ABD201 - Big Data Architectural Patterns and Best Practices on AWS In this session, we simplify big data processing as a data bus comprising various stages: collect, store, process, analyze, and visualize. Next, we discuss how to choose the right technology in each stage based on criteria such as data structure, query latency, cost, request rate, item size, data volume, durability, and so on. Finally, we provide reference architectures, design patterns, and best practices for assembling these technologies to solve your big data problems at the right cost. Breakout Session
ABD202 - Best Practices for Building Serverless Big Data Applications Serverless technologies let you build and scale applications and services rapidly without the need to provision or manage servers. In this session, we show you how to incorporate serverless concepts into your big data architectures. We explore the concepts behind and benefits of serverless architectures for big data, looking at design patterns to ingest, store, process, and visualize your data. Along the way, we explain when and how you can use serverless technologies to streamline data processing, minimize infrastructure management, and improve agility and robustness and share a reference architecture using a combination of cloud and open source technologies to solve your big data problems. Topics include: use cases and best practices for serverless big data applications; leveraging AWS technologies such as Amazon DynamoDB, Amazon S3, Amazon Kinesis, AWS Lambda, Amazon Athena, and Amazon EMR; and serverless ETL, event processing, ad hoc analysis, and real-time analytics. Breakout Session
ABD203 - Real-Time Streaming Applications on AWS: Patterns and Use Cases To win in the marketplace and provide differentiated customer experiences, businesses need to be able to use live data in real time to facilitate fast decision making. In this session, you learn common streaming data processing use cases and architectures. First, we give an overview of streaming data and AWS streaming data capabilities. Next, we look at specific customer use cases of streaming applications and common design patterns. Finally, we walk through an example of building a real-time streaming application step by step. Breakout Session
ABD205 - Taking a Page Out of Ivy Tech’s Book: Using Data for Student Success Data speaks. Discover how Ivy Tech, the nation's largest singly accredited community college, uses AWS to gather, analyze, and take action on student behavioral data for the betterment of over 3,100 students. This session outlines the process from inception to implementation across the state of Indiana and highlights how Ivy Tech's model can be applied to your own complex business problems. Breakout Session
ABD206 - Building Visualizations and Dashboards with Amazon QuickSight Just as a picture is worth a thousand words, a visual is worth a thousand data points.  A key aspect of our ability to gain insights from our data is to look for patterns, and these patterns are often not evident when we simply look at data in tables. The right visualization will help you gain a deeper understanding in a much quicker timeframe.  In this session, we will show you how to quickly and easily visualize your data using Amazon QuickSight.  We will show you how you can connect to data sources, generate custom metrics and calculations, create comprehensive business dashboards with various chart types, and setup filters and drill downs to slice and dice the data. Breakout Session
ABD207 - Leveraging AWS to Fight Financial Crime and Protect National Security Banks aren’t known to share data and collaborate with one another. But that is exactly what the Mid-Sized Bank Coalition of America (MBCA) is doing to fight digital financial crime—and protect national security. Using the AWS Cloud, the MBCA developed a shared data analytics utility that processes terabytes of non-competitive customer account, transaction, and government risk data. The intelligence produced from the data helps banks increase the efficiency of their operations, cut labor and operating costs, and reduce false positive volumes. The collective intelligence also allows greater enforcement of Anti-Money Laundering (AML) regulations by helping members detect internal risks—and identify the challenges to detecting these risks in the first place. This session demonstrates how the AWS Cloud supports the MBCA to deliver advanced data analytics, provide consistent operating models across financial institutions, reduce costs, and strengthen national security. Session sponsored by Accenture Breakout Session
ABD208 - Splunk: Quickly Gain Advanced Visibility into Your AWS Environment Using a Single Tool Ready to take your AWS environment running Splunk Enterprise, Splunk Cloud, or ITSI to the next level? Learn how to gather immediate insights into the performance signatures of your hybrid infrastructure. It is now quicker and easier than ever to gain access to analytics-driven infrastructure monitoring. Splunk is a platform that collects, analyzes, and presents information on any machine data or metrics, enabling you to quickly monitor and troubleshoot infrastructure issues in cloud or on-premises environments. Learn how you can visualize your Splunk and AWS environments with a single tool, while accelerating your time to value and reducing cost of ownership. Breakout Session
ABD209 - Accelerating the Speed of Innovation with a Data Sciences Data & Analytics Hub at Takeda Historically, silos of data, analytics, and processes across functions, stages of development, and geography created a barrier to R&D efficiency. Gathering the right data necessary for decision-making was challenging due to issues of accessibility, trust, and timeliness. In this session, learn how Takeda is undergoing a transformation in R&D to increase the speed-to-market of high-impact therapies to improve patient lives. The Data and Analytics Hub was built, with Deloitte, to address these issues and support the efficient generation of data insights for functions such as clinical operations, clinical development, medical affairs, portfolio management, and R&D finance. In the AWS hosted data lake, this data is processed, integrated, and made available to business end users through data visualization interfaces, and to data scientists through direct connectivity. Learn how Takeda has achieved significant time reductions—from weeks to minutes—to gather and provision data that has the potential to reduce cycle times in drug development. The hub also enables more efficient operations and alignment to achieve product goals through cross functional team accountability and collaboration due to the ability to access the same cross domain data. Session sponsored by Deloitte Breakout Session
ABD210 - Modernizing Amtrak: Serverless Solution for Real-Time Data Capabilities As the nation's only high-speed intercity passenger rail provider, Amtrak needs to know critical information to run their business such as: Who’s onboard any train at any time? How are booking and revenue trending? Amtrak was faced with unpredictable and often slow response times from existing databases, ranging from seconds to hours; existing booking and revenue dashboards were spreadsheet-based and manual; multiple copies of data were stored in different repositories, lacking integration and consistency; and operations and maintenance (O&M) costs were relatively high. Join us as we demonstrate how Deloitte and Amtrak successfully went live with a cloud-native operational database and analytical datamart for near-real-time reporting in under six months. We highlight the specific challenges and the modernization of architecture on an AWS native Platform as a Service (PaaS) solution. The solution includes cloud-native components such as AWS Lambda for microservices, Amazon Kinesis and AWS Data Pipeline for moving data, Amazon S3 for storage, Amazon DynamoDB for a managed NoSQL database service, and Amazon Redshift for near-real time reports and dashboards. Deloitte’s solution enabled “at scale” processing of 1 million transactions/day and up to 2K transactions/minute. It provided flexibility and scalability, largely eliminate the need for system management, and dramatically reduce operating costs. Moreover, it laid the groundwork for decommissioning legacy systems, anticipated to save at least $1M over 3 years.   Session sponsored by Deloitte Breakout Session
ABD301 - Analyzing Streaming Data in Real Time with Amazon Kinesis Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information. In this session, we present an end-to-end streaming data solution using Kinesis Streams for data ingestion, Kinesis Analytics for real-time processing, and Kinesis Firehose for persistence. We review in detail how to write SQL queries using streaming data and discuss best practices to optimize and monitor your Kinesis Analytics applications. Lastly, we discuss how to estimate the cost of the entire system. Breakout Session
ABD302 - Real-Time Data Exploration and Analytics with Amazon Elasticsearch Service and Kibana In this session, we use Apache web logs as example and show you how to build an end-to-end analytics solution. First, we cover how to configure an Amazon ES cluster and ingest data using Amazon Kinesis Firehose. We look at best practices for choosing instance types, storage options, shard counts, and index rotations based on the throughput of incoming data. Then we demonstrate how to set up a Kibana dashboard and build custom dashboard widgets. Finally, we review approaches for generating custom, ad-hoc reports. Breakout Session
ABD303 - Developing an Insights Platform – Sysco’s Journey from Disparate Systems to Data Lake and Beyond Sysco has nearly 200 operating companies across its multiple lines of business throughout the United States, Canada, Central/South America, and Europe. As the global leader in food services, Sysco identified the need to streamline the collection, transformation, and presentation of data produced by the distributed units and systems, into a central data ecosystem. Sysco's Business Intelligence and Analytics team addressed these requirements by creating a data lake with scalable analytics and query engines leveraging AWS services. In this session, Sysco will outline their journey from a hindsight reporting focused company to an insights driven organization. They will cover solution architecture, challenges, and lessons learned from deploying a self-service insights platform. They will also walk through the design patterns they used and how they designed the solution to provide predictive analytics using Amazon Redshift Spectrum, Amazon S3, Amazon EMR, AWS Glue, Amazon Elasticsearch Service and other AWS services. Breakout Session
ABD304 - Best Practices for Data Warehousing with Amazon Redshift & Redshift Spectrum Most companies are over-run with data, yet they lack critical insights to make timely and accurate business decisions. They are missing the opportunity to combine large amounts of new, unstructured big data that resides outside their data warehouse with trusted, structured data inside their data warehouse. In this session, we take an in-depth look at how modern data warehousing blends and analyzes all your data, inside and outside your data warehouse without moving the data, to give you deeper insights to run your business. We will cover best practices on how to design optimal schemas, load data efficiently, and optimize your queries to deliver high throughput and performance. Breakout Session
ABD305 - Design Patterns and Best Practices for Data Analytics with Amazon EMR Amazon EMR is one of the largest Hadoop operators in the world, enabling customers to run ETL, machine learning, real-time processing, data science, and low-latency SQL at petabyte scale. In this session, we introduce you to Amazon EMR design patterns such as using Amazon S3 instead of HDFS, taking advantage of both long and short-lived clusters, and other Amazon EMR architectural best practices. We talk about lowering cost with Auto Scaling and Spot Instances, and security best practices for encryption and fine-grained access control. Finally, we dive into some of our recent launches to keep you current on our latest features. Breakout Session
ABD307 - Deep Analytics for Global AWS Marketing Organization To meet the needs of the global marketing organization, the AWS marketing analytics team built a scalable platform that allows the data science team to deliver custom econometric and machine learning models for end user self-service. To meet data security standards, we use end-to-end data encryption and different AWS services such as Amazon Redshift, Amazon RDS, Amazon S3, Amazon EMR with Apache Spark and Auto Scaling. In this session, you see real examples of how we have scaled and automated critical analysis, such as calculating the impact of marketing programs like re:Invent and prioritizing leads for our sales teams. Breakout Session
ABD308 - Build a Serverless IoT Backend in Under 30 Minutes with AWS Lambda, Amazon Kinesis, and MongoDB Stitch In this session, we bring together AWS Lambda, Amazon Kinesis, and the MongoDB Stitch backend as a service in a serverless architecture for IoT that consumes, processes, and persists data in a fully managed database service. We demonstrate how to use Lambda functions triggered by updates made to the data, and cover best practices such as maximizing performance by keeping database endpoint connections hot in a mostly ephemeral architecture. Session sponsored by MongoDB Breakout Session
ABD309 - How Twilio Scaled Its Data-Driven Culture As a leading cloud communications platform, Twilio has always been strongly data-driven. But as headcount and data volumes grew—and grew quickly—they faced many new challenges. One-off, static reports work when you’re a small startup, but how do you support a growth stage company to a successful IPO and beyond? Today, Twilio's data team relies on AWS and Looker to provide data access to 700 colleagues. Departments have the data they need to make decisions, and cloud-based scale means they get answers fast. Data delivers real-business value at Twilio, providing a 360-degree view of their customer, product, and business. In this session, you hear firsthand stories directly from the Twilio data team and learn real-world tips for fostering a truly data-driven culture at scale. Session sponsored by Looker Breakout Session
ABD401 - How Netflix Monitors Applications in Real Time with Amazon Kinesis Thousands of services work in concert to deliver millions of hours of video streams to Netflix customers every day. These applications vary in size, function, and technology, but they all make use of the Netflix network to communicate. Understanding the interactions between these services is a daunting challenge both because of the sheer volume of traffic and the dynamic nature of deployments. In this session, we first discuss why Netflix chose Kinesis Streams to address these challenges at scale. We then dive deep into how Netflix uses Kinesis Streams to enrich network traffic logs and identify usage patterns in real time. Lastly, we cover how Netflix uses this system to build comprehensive dependency maps, increase network efficiency, and improve failure resiliency. From this session, youl learn how to build a real-time application monitoring system using network traffic logs and get real-time, actionable insights. Breakout Session
ALX301 - 5 AWS services that will super charge your Alexa skill The most engaging Alexa skills have fresh content, continuous improvement, and personalized voice experiences. Learn how to improve your customer’s experience by making use of AWS services like Amazon S3, AWS IoT, Amazon Polly, Amazon API Gateway, and Amazon DynamoDB.  Chalk Talk
ALX302 - Alexa and IoT: Now with 100% More Voice In this session, we will show you how an Alexa Skill can push information to a web page.  The same technique could push data to a mobile application, Unity, or a Fire TV.  Such a push might be used to update an order entry system or to update a dashboard, a chat based system, a game command etc.  You will learn how to use AWS IoT to setup a bidirectional communication channel between your Alexa skill and your applications.  You will learn how an Alexa skill can send messages to AWS IoT and how an HTML/Javascript application can receive these messages and act upon them. Chalk Talk
ALX303 - The Art and Science of Conversation Applied to Alexa Skills It used to be the case that we only spoke to computers in their language. But more and more often, we’re interacting with them in ours. We are moving quickly into a world of computer conversation, and one in which, for many applications, the most natural interactions will be through spoken language. But how do you create engaging narrative and compelling, organic conversational interactions using the imprecise tools of speech recognition and intent resolution?  In this session, we will look at the experience as a whole and take you through key learnings that you can use when building your skills. We cover issues like knowing your audience, creating compelling storylines, using a cast of characters, integrating voiceover, designing a soundscape, and finding those “magic moments”. For each of these, we share the design pattern, the backing AI or physiological science, and how to implement the experience with Alexa. Chalk Talk
ALX401 - Advanced Alexa Skill Building: Conversation and Memory This session walks you through some of the more advanced features offered in Alexa Skill Builder, like Dialog Management, Entity Resolution, state management, session persistence, and maintaining context. Using Dialog Management, you can engage skill users in a multi-turn dialog to elicit and confirm slots for an intent. Using Entity Resolution, you can greatly simplify slot management by mapping multiple synonyms of your slot to a unique ID. We couple these conversational techniques with the management of session state and persistence to enable memory and personalization.  Workshop
ALX402 - Oh no, I got featured: How to Build, Scale, and Test an Alexa Backend to Handle All Your New Customers Building a great experience is just step one. In this workshop, we'll build a custom Alexa skill and then show you how to build a backend that can handle the rush of customers when they come. Workshop
AMF301 - Big Data & Analytics for Manufacturing Operations Manufacturing companies collect vast troves of process data for tracking purposes. Using this data with advanced analytics can optimize operations, saving time and money. In this session, we explore the latest analytics capabilities to support your goals for optimizing the manufacturing plant floor. Learn how to build dashboards that connect to prediction models driven by sensors across manufacturing processes. Learn how to build a data lake on AWS, using services and techniques such as AWS CloudFormation, Amazon EC2, Amazon S3, AWS Identity and Access Management, and AWS Lambda. We also review a reference architecture that supports data ingestion, event rules, analytics, and the use of machine learning for manufacturing analytics. Breakout Session
AMF302 - Alexa, Where’s My Car? A Test Drive of the AWS Connected Car Reference Today's trends in auto technology are all about connecting cars and their occupants to the outside world in a seamless and safe manner. In this session, we discuss how automotive companies are leveraging AWS for a variety of connected vehicle use cases. You'll leave this session with source code, architecture diagrams, and an understanding of how to apply the AWS Connected Vehicle Reference Architecture to build your own prototypes. You'll also learn how car companies can leverage Amazon services such as Alexa and AWS services such as AWS IOT, AWS Greengrass, AWS Lambda, Amazon API Gateway, and AWS Mobile Hub to rapidly develop and deploy innovative connected vehicle services. Breakout Session
AMF303 - Deep Dive into the Connected Vehicle Reference Architecture At this fast-paced, interactive workshop, get hands-on with live data streaming from an actual car driving the streets of Las Vegas. Explore AWS IoT services, common patterns, and best practices for processing IoT data, and deploy a reference architecture to begin consuming and analyzing connected vehicle data in your own AWS account. Walk away from this workshop with the knowledge needed to connect your own vehicle to the cloud. Workshop
ARC201 - Scaling up to Your First 10 Million Users Cloud computing gives you a number of advantages, such as the ability to scale your web application or website on demand. If you have a new web application and want to use cloud computing, you might be asking yourself, "Where do I start?" Join us in this session to understand best practices for scaling your resources from one to millions of users. We show you how to best combine different AWS services, how to make smarter decisions for architecting your application, and how to scale your infrastructure in the cloud. Breakout Session
ARC206 - Disney’s Magic: A Cloud Transformation Strategy in Play Creating a comprehensive, accelerated cloud strategy for a complex or federated organization requires a disciplined approach—one that balances the need for centralized governance with the opportunity to innovate across all engineering segments within the enterprise. In this session, will follow the Walt Disney Company’s journey to create an initial cloud value hypothesis and cloud business case, and then develop a structured approach towards cloud migrations and a "cloud-first" operating model. Attendees learn more about the key implications, risks, and considerations of the company’s cloud transformation program; see examples of reference architectures and implementation guides; and understand the required activities that contributed to the success of the program. The patterns presented are broadly applicable to complex organizations with global aspirations to make the journey to AWS Cloud. Session sponsored by Accenture Breakout Session
ARC303 - Running Lean Architectures: How to Optimize for Cost Efficiency Whether you’re a cash-strapped startup or an enterprise optimizing spend, it pays to run cost-efficient architectures on AWS. This session reviews a wide range of cost planning, monitoring, and optimization strategies, featuring real-world experience from AWS customers. We cover how to effectively combine Amazon EC2 On-Demand, Reserved, and Spot Instances to handle different use cases; leveraging Auto Scaling to match capacity to workload; and choosing the optimal instance type through load testing. We discuss taking advantage of tiered storage and caching, offloading content to Amazon CloudFront to reduce back-end load, and getting rid of your back end entirely by serverless. Even if you already enjoy the benefits of serverless architectures, we show you how to select the optimal AWS Lambda memory class and how to maximize networking throughput in order to minimize Lambda run-time and therefore execution cost. We also showcase simple tools to help track and manage costs, including Cost Explorer, billing alerts, and AWS Trusted Advisor. This session is your pocket guide for running cost effectively in the AWS Cloud. Breakout Session
ARC304 - From One to Many: Evolving VPC Design As more customers adopt Amazon VPC architectures, the features and flexibility of the service are squaring off against evolving design requirements. This session follows this evolution of a single regional VPC into a multi-VPC, multi-region design with diverse connectivity into on-premises systems and infrastructure. Along the way, we investigate creative customer solutions for scaling and securing outbound VPC traffic, securing private access to Amazon S3, managing multi-tenant VPCs, integrating existing customer networks through AWS Direct Connect, and building a full VPC mesh network across global regions. Breakout Session
ARC305 - How Toyota Racing Development Uses Amazon CloudFront, AWS CloudFormation, and Amazon ECS in Motorsports Toyota Racing Development (TRD) uses AWS technology—including Amazon CloudFront, AWS CloudFormation, Amazon ECR, Amazon ECS, Elastic Load Balancing, Auto Scaling, AWS KMS, Amazon SNS, AWS Lambda, Amazon Elasticsearch Service—with Slack to create a reliable, fast, and highly available infrastructure. TRD is a fast-paced environment with tight deadlines that require frequent and precise deployments before and during every weekend's race. With TRD’s containerized architecture we can get new developers set up and writing code in a matter of minutes, not hours. Developers use the same architecture to develop locally as in production, which allows us to create reliable and repeatable builds for any environment. Using AWS technologies, we have been able to greatly improve our security by creating a separation of concerns for each environment using VPCs, security groups, and AWS KMS to provide strong yet easy to implement encryption. Breakout Session
ARC306 - High Resiliency & Availability of PlayStation Communities Using Multiple AWS Regions With the increasing social footprint of PlayStation fans comes the responsibility of keeping community services highly available and resilient. With 200,000 users visiting PlayStation Communities every minute and 2.5 million active communities, our main requirement was to have isolated services per region so that we can serve our customers in each region in under 100 milliseconds. In this session, you learn how the PlayStation engineering team successfully migrated seven interconnected community services from single to multiple regions by using a combination of home-grown and AWS tools with no downtime. Breakout Session
ARC307 - From Monolithic to Microservices: Evolving Architecture Patterns in the Cloud Gilt, a global e-commerce company, implemented a sophisticated microservices architecture on AWS to handle millions of customers visiting their site at noon every day. The microservices architecture pattern enables independent service scaling, faster deployments, better fault isolation, and graceful degradation. In this session, Adrian Trenaman, SVP of Engineering at Gilt, shares Gilt's experiences and lessons learned during their evolution from a single monolithic Rails application in a traditional data center to more than 300 Scala/Java microservices deployed in the cloud. Derek Chiles, AWS Solutions Architect, reviews current best practices and recommended architectures for deploying microservices on AWS. Breakout Session
ARC310 - Avoiding Groundhog Day: Enabling Transformation on Day 1, 100, or 1000 of Your Journey to the Cloud Migrating workloads to the cloud requires detailed planning and execution. When you’re an established business with users that rely on your cloud workloads, this can seem like an insurmountable task. A complete migration is a victory often celebrated as the end of the journey, when in reality it is just the first step in a process of continual optimization and evolution. To truly optimize the power of AWS and reap the financial and performance benefits of cloud computing, it is critical that you evaluate your workloads for opportunities to continue to evolve to drive business value and embrace the innovative nature of the AWS Cloud. In this session, join Rackspace to learn about key components to consider in order to execute a successful migration to AWS, the importance of optimizing your AWS environment over time, and how a real-life customer is leveraging Rackspace’s Fanatical Support for AWS to help them migrate and transform their workloads on AWS. Session sponsored byRackspace Breakout Session
ARC401 - Serverless Architectural Patterns and Best Practices As serverless architectures become more popular, customers need a framework of patterns to help them identify how they can leverage AWS to deploy their workloads without managing servers or operating systems. This session describes re-usable serverless patterns while considering costs. For each pattern, we provide operational and security best practices and discuss potential pitfalls and nuances. We also discuss the considerations for moving an existing server-based workload to a serverless architecture. The patterns use services like AWS Lambda, Amazon API Gateway, Amazon Kinesis Streams, Amazon Kinesis Analytics, Amazon DynamoDB, Amazon S3, AWS Step Functions, AWS Config, AWS X-Ray, and Amazon Athena. This session can help you recognize candidates for serverless architectures in your own organizations and understand areas of potential savings and increased agility. What’s new in 2017: using X-Ray in Lambda for tracing and operational insight.; a pattern on high performance computing (HPC) using Lambda at scale; how a query can be achieved using Athena; Step Functions as a way to handle orchestration for both the Automation and Batch patterns; a pattern for Security Automation using AWS Config rules to detect and automatically remediate violations of security standards; how to validate API parameters in API Gateway to protect your API back-ends; and a solid focus on CI/CD development pipelines for serverless –that includes testing, deploying, and versioning (SAM tools). Breakout Session
ATC301 - 1 Million bids in 100ms – using AWS to power your Real Time Bidder Real-time bidding applications are designed for very high scale and performance. A typical RTB deployment needs to be designed to handle at least a million queries per second with TP99 query processing latency of 25 ms. In this session, we feature Bidder-as-a-Service™ by Beeswax and discover how AWS enables their core technology. We will begin by examining the end to end architecture of a real-time bidder application on AWS. Next, we will talk about the challenges and best practices for implementing a durable and high-performing system. Finally, we will conclude the talk with some recommendations on minimizing infrastructure cost while operating a RTB platform at a very large scale. Breakout Session
ATC302 - How to leverage AWS Machine Learning services to analyze and optimize your Google DoubleClick Campaign Manager data at scale In this session, you’ll learn how AdTech companies use AWS services like Glue, Athena, Quicksight, and EMR to analyze your Google DoubleClick Campaign Manager data at scale without the burden of infrastructure or worries about server maintenance.  We’ll live-process a click stream so you can see how Machine Learning can help maximize your revenue by finding the most optimal path of a campaign and we’ll look at a real world demo from A9’s Advertising Science Team of how they use the data to build Look-alike Model in their projects. Breakout Session
ATC303 - Cache Me If You Can: Minimizing Latency While Optimizing Cost Through Advanced Caching Strategies From CloudFront to ElastiCache to DynamoDB Accelerator (DAX), this is your one-stop shop for learning how to apply caching methods to your AdTech workload: What data to cache and why? What are common side effects and pitfalls when caching? What is negative caching and how can it help you maximize your cache hit rate? How to use DynamoDB Accelerator in practice? How can you ensure that data always stays current in your cache? These and many more topics will be discussed in depth during this talk and we’ll share lessons learned from Team Internet, the leading provider in domain monetization. Breakout Session
BAP201 - Realizing the Benefits of the AWS Cloud: Confident Decision Making Based on Insights and Control To realize the benefits of the breadth and depth of services offered by the AWS Cloud, you need comprehensive visibility, contract flexibility, and full control over how your organization accesses the cloud environment. We outline our approach to building the enterprise-ready framework and intelligent platform that integrates the AWS Cloud seamlessly into your IT landscape. We show you how to drive costs down by matching system availability and SLAs to your differing environments and their requirements. We explore best practices in assigning systems to roles, and explain our methodology for improving efficiencies through automation.   Session sponsored by Capgemini Breakout Session
BAP202 - Amazon Connect Delivers Personalized Customer Experiences for Your Cloud-Based Contact Center Join us for an overview and demonstration of Amazon Connect, a self-service, cloud-based contact center based on the same technology used by Amazon customer service associates worldwide to power millions of conversations. The self-service graphical interface in Amazon Connect makes it easy to design contact flows for self and assisted call-handling experiences, manage agents, and track performance metrics – no specialized skills required. In this session, you will hear from companies that are using Amazon Connect to provide their customers with dynamic, natural, and personalized experiences.  See how quickly you can get started with Amazon Connect and build your contact center.  Breakout Session
BAP203 - Secure File Collaboration and Management, Simplified with Amazon WorkDocs The rate at which employees collaborate and create content continues to grow. With this, organizations are challenged to make collaboration easy, keep file management simple, and maintain a secure and compliant environment. Amazon WorkDocs is a fully managed, secure collaboration and file management service with rich feedback capabilities, strong administrative controls, and an extensible API. In this session, we demonstrate how you can use Amazon WorkDocs as a full-fledged collaboration tool for users and easily secure and manage files across your organization.  Breakout Session
BAP204 - How Amazon Is Moving to Amazon Chime Amazon is a global company with over 300,000 employees worldwide. Easy and efficient communication is critical, so earlier this year, we made Amazon Chime available company-wide. Amazon Chime is a modern communications service that runs securely on AWS. It simplifies online meetings, video conferencing, and chats in one straightforward application. In this session, we provide an overview of Amazon Chime and follow with a discussion on how Amazon is rolling out this service. Breakout Session
BAP205 - Build an Amazon AppStream 2.0 Environment to Stream Desktop Applications to Your Users In this workshop, we build out an end-to-end Amazon AppStream 2.0 environment for your organization. We create a master image containing desktop applications, configure a streaming fleet, and set up user permissions and federated access using SAML 2.0. We walk through network configuration options, and show how to connect to resources in your VPC. Finally, we show how to create streaming URLs that users need to access their applications. To complete this workshop, you need an AWS account with an active VPC, and a working knowledge of AWS concepts. Also, attending the session "Move Your Virtualized Desktop Apps to the Cloud with Amazon AppStream 2.0" is beneficial. Workshop
BAP301 - Bring the Power of AI to Contact Centers Amazon Connect is a cloud-based contact center service that allows you to create dynamic contact flows and personalized caller experiences by using their history and responses to anticipate their needs. Learn how with Amazon Lex, an AI service that allows you to create intelligent conversational “chatbots,” turning your contact flows into natural conversations using the same technology behind Amazon Alexa. Routine tasks such as password resets, order status, and balance inquiries can be automated without an agent. In this session, we discuss successful strategies using Amazon Lex to add an NLU chatbot into your Amazon Connect contact center workflows. Breakout Session
BAP302 - User Self-Service and Admin Portals for Amazon WorkSpaces You’ve successfully moved your desktops to AWS using Amazon WorkSpaces. Now, you’d like to start automating your operations. In this session, we show you how to use the Amazon WorkSpaces APIs to automate common tasks, such as provisioning and deprovisioning WorkSpaces, building self-service portals to allow your users to perform basic support tasks themselves, and integrating WorkSpace operations into your existing workflow and helpdesk tools. Breakout Session
BAP303 - Migrate Your Desktops to Amazon WorkSpaces Are you tired of maintaining and upgrading the PC infrastructure for your organization? Do you want to provide your users with a fast, fluid desktop that is accessible from anywhere, on any device? With Amazon WorkSpaces, you can do both simultaneously by running your desktops on AWS. In this session, we demonstrate the flexibility of Amazon WorkSpaces and show you how easy it is to get started. We also cover more advanced topics, including using Microsoft Active Directory for end-user management and authentication, and using Amazon WorkSpaces to implement a bring-your-own-device policy. Breakout Session
BAP304 - How To Use AWS IoT and Amazon Connect to Drive Proactive Customer Service Learn how to use Amazon Connect with AWS IoT and AWS Lambda to proactively resolve customer issues before they occur. In this session, we show you how to configure an AWS IoT device to proactively place a phone call to a customer using the Amazon Connect API when an impending problem is detected. From there, we demonstrate how Amazon Connect contact flows make the customer interaction personal, more satisfying, and less costly. Breakout Session
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