Discover the cutting-edge telemetry solution implemented for Alan Wake 2 by Remedy Entertainment in collaboration with AWS. This comprehensive presentation dives into our objectives, detailing how we utilized advanced analytics to drive gameplay improvements and player engagement.
Key highlights include:
Primary Goals: Implementing gameplay and technical telemetry to capture detailed player behavior and game performance data, fostering data-driven decision-making.
Tech Stack: Leveraging AWS services such as EKS for hosting, WAF for security, Karpenter for instance optimization, S3 for data storage, and OpenTelemetry Collector for data collection. EventBridge and Lambda were used for data compression, while Glue ETL and Athena facilitated data transformation and preparation.
Data Utilization: Transforming raw data into actionable insights with technologies like Glue ETL (PySpark scripts), Glue Crawler, and Athena, culminating in detailed visualizations with Tableau.
Achievements: Successfully managing 700 million to 1 billion events per month at a cost-effective rate, with significant savings compared to commercial solutions. This approach has enabled simplified scaling and substantial improvements in game design, reducing player churn through targeted adjustments.
Community Engagement: Enhanced ability to engage with player communities by leveraging precise data insights, despite having a small community management team.
This presentation is an invaluable resource for professionals in game development, data analytics, and cloud computing, offering insights into how telemetry and analytics can revolutionize player experience and game performance optimization.
Get More from your Data: Accelerate Time-to-Value and Reduce TCO with Conflue...HostedbyConfluent
"In this talk, we will explore how Confluent and Amazon Web Services (AWS) work together to help you in the journey of data modernization and innovation.
We guide you through the migration journey to Confluent Cloud on AWS, delving into advanced features and capabilities for streamlined migration and business continuity. Gain insights from customer success stories, learn cloud modernization strategies, patterns, and best practices, and AWS resources to kickstart your initiatives.
Explore modern app development on Confluent Cloud on AWS, alongside strategic ISV partners like MongoDB, and unlock the full potential of real-time streaming."
AWS reInvent 2022 reCap AI/ML and DataChris Fregly
This document discusses Amazon Web Services (AWS) products and services for building end-to-end machine learning and data strategies. It covers topics such as ML infrastructure, governance, data preparation, model training, deployment, and education. Specific services mentioned include Amazon SageMaker, AWS Lake Formation, Amazon Redshift, Amazon EMR, AWS Glue, and AWS services for hardware acceleration like AWS Trainium and AWS Graviton.
Migration Planning with AWS Application Discovery Service - ENT308 - Chicago ...Amazon Web Services
In this session, we discuss the AWS Cloud Adoption Framework and how you can use AWS Application Discovery Service to plan your migration. Learn how to analyze the data collected by Application Discovery Service agents combined with other sources of data, such as configuration management database (CMDB) exports using services like Amazon Athena and Amazon QuickSight. Learn how to profile workloads and identify interdependencies and utilization patterns to help you make decisions, like identifying assets to validate accuracy and completeness of data, finding the right size EC2 instance types, and planning migration waves and sequencing.
kreuzwerker AWS Modernizing Legacy Operations with Containerized Solutions 20...kreuzwerker GmbH
This document summarizes a presentation about modernizing legacy operations with containerized solutions on AWS. It discusses how kreuzwerker helped a client streamline data flow between their CRM, ERP, and LIMS systems using a serverless architecture on AWS. The architecture designed by kreuzwerker used AWS services like EventBridge and Step Functions to extract data from their MDM via REST, transform it, and load it into various external systems in parallel via REST. This provided benefits like low maintenance, simple usage, and cost optimization while handling errors and retries.
AWS Lambda Powertools is a developer toolkit to implement Serverless best practices and increase developer velocity. It started as an open-source project in 2020 focused in making Tracing, Logging, and Metrics easier. Fast-forward, Powertools added 13 more features, grew a vibrant community who regularly contributes up to 60% of our releases, now covering a plethora of use cases: REST and GraphQL APIs, Batch processing, Idempotency, Feature Flags, Data Validation, and more.
You’ll learn why this developer toolkit was created, key use cases, and find out how you can adopt common industry and AWS best practices in seconds. We’ll also cover two of the most anticipated new features coming in 2023, and live demo(s).
Distributed Solar Systems at EDF Renewables and AWS IoT: A Natural Fit (PUT30...Amazon Web Services
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.
The document discusses strategies for establishing a single view of data across an organization. It recommends bringing all organizational data together in a single platform to provide a comprehensive and consistent view for all stakeholders. This allows gaining new insights from data that may have previously been overlooked or unused. It also discusses challenges like data silos and quality issues and how democratizing data access can improve business outcomes through greater collaboration and innovation. The document concludes by examining emerging technologies at the leading edge of data and AI like AI assistants and how establishing a data mesh architecture can help decentralize data management.
Gaining Better Observability of Your VMs with Amazon CloudWatch - AWS Online ...Amazon Web Services
Learning Objectives:
- Leverage CloudWatch Agent to easily monitor VM health in a unified way
- Combine utilization, performance, and alarms to build operational dashboard
- Understand how RackSpace is leveraging CloudWatch Agent to manage AWS resources
Get More from your Data: Accelerate Time-to-Value and Reduce TCO with Conflue...HostedbyConfluent
"In this talk, we will explore how Confluent and Amazon Web Services (AWS) work together to help you in the journey of data modernization and innovation.
We guide you through the migration journey to Confluent Cloud on AWS, delving into advanced features and capabilities for streamlined migration and business continuity. Gain insights from customer success stories, learn cloud modernization strategies, patterns, and best practices, and AWS resources to kickstart your initiatives.
Explore modern app development on Confluent Cloud on AWS, alongside strategic ISV partners like MongoDB, and unlock the full potential of real-time streaming."
AWS reInvent 2022 reCap AI/ML and DataChris Fregly
This document discusses Amazon Web Services (AWS) products and services for building end-to-end machine learning and data strategies. It covers topics such as ML infrastructure, governance, data preparation, model training, deployment, and education. Specific services mentioned include Amazon SageMaker, AWS Lake Formation, Amazon Redshift, Amazon EMR, AWS Glue, and AWS services for hardware acceleration like AWS Trainium and AWS Graviton.
Migration Planning with AWS Application Discovery Service - ENT308 - Chicago ...Amazon Web Services
In this session, we discuss the AWS Cloud Adoption Framework and how you can use AWS Application Discovery Service to plan your migration. Learn how to analyze the data collected by Application Discovery Service agents combined with other sources of data, such as configuration management database (CMDB) exports using services like Amazon Athena and Amazon QuickSight. Learn how to profile workloads and identify interdependencies and utilization patterns to help you make decisions, like identifying assets to validate accuracy and completeness of data, finding the right size EC2 instance types, and planning migration waves and sequencing.
kreuzwerker AWS Modernizing Legacy Operations with Containerized Solutions 20...kreuzwerker GmbH
This document summarizes a presentation about modernizing legacy operations with containerized solutions on AWS. It discusses how kreuzwerker helped a client streamline data flow between their CRM, ERP, and LIMS systems using a serverless architecture on AWS. The architecture designed by kreuzwerker used AWS services like EventBridge and Step Functions to extract data from their MDM via REST, transform it, and load it into various external systems in parallel via REST. This provided benefits like low maintenance, simple usage, and cost optimization while handling errors and retries.
AWS Lambda Powertools is a developer toolkit to implement Serverless best practices and increase developer velocity. It started as an open-source project in 2020 focused in making Tracing, Logging, and Metrics easier. Fast-forward, Powertools added 13 more features, grew a vibrant community who regularly contributes up to 60% of our releases, now covering a plethora of use cases: REST and GraphQL APIs, Batch processing, Idempotency, Feature Flags, Data Validation, and more.
You’ll learn why this developer toolkit was created, key use cases, and find out how you can adopt common industry and AWS best practices in seconds. We’ll also cover two of the most anticipated new features coming in 2023, and live demo(s).
Distributed Solar Systems at EDF Renewables and AWS IoT: A Natural Fit (PUT30...Amazon Web Services
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.
The document discusses strategies for establishing a single view of data across an organization. It recommends bringing all organizational data together in a single platform to provide a comprehensive and consistent view for all stakeholders. This allows gaining new insights from data that may have previously been overlooked or unused. It also discusses challenges like data silos and quality issues and how democratizing data access can improve business outcomes through greater collaboration and innovation. The document concludes by examining emerging technologies at the leading edge of data and AI like AI assistants and how establishing a data mesh architecture can help decentralize data management.
Gaining Better Observability of Your VMs with Amazon CloudWatch - AWS Online ...Amazon Web Services
Learning Objectives:
- Leverage CloudWatch Agent to easily monitor VM health in a unified way
- Combine utilization, performance, and alarms to build operational dashboard
- Understand how RackSpace is leveraging CloudWatch Agent to manage AWS resources
Implementing Multi-Region AWS IoT, ft. Analog Devices (IOT401) - AWS re:Inven...Amazon Web Services
This document discusses implementing multi-region architectures for AWS IoT. It begins by explaining why a multi-region approach is important for IoT applications. It then covers foundational aspects like account structure, device bootstrapping and configuration, and building single region resiliency. The document also presents variations on multi-region architectures like active-passive and active-active models. Finally, it discusses specific examples and considerations for Analog Devices' machine health monitoring solution.
Keynote Gregor Hohpe - Serverless ArchitecturesBATbern
Serverless is much more than an abstraction over compute run-time. Serverless applications are inherently distributed, easily respond to incoming events, and change the role of cloud automation. This session reflects on how serverless influences our application delivery and takes a peek at recent trends like Event-driven Architectures and Infrastructure from Code.
Vanguard's Journey with Tableau to the AWS Cloud (FSV307-S) - AWS re:Invent 2018Amazon Web Services
With over $5 trillion in assets under management, Vanguard requires a secure, flexible, and fast data and analytics platform. By deploying Tableau on AWS, Vanguard was able to move from their private cloud to the AWS Cloud, and significantly reduce the administrative workload of Vanguard's IT team, allowing them to focus on innovating. In this session, learn how mission-critical processes such as configuring deployments, adding nodes, and creating backups are automated via scripts. Expect to leave with a clear picture of how a global deployment of Tableau on AWS supports peak surges and avoids the sunk costs of on-premises hardware. This session is brought to you by AWS partner, Tableau Software.
Build Your Own Log Analytics Solutions on AWS (ANT323-R) - AWS re:Invent 2018Amazon Web Services
With Amazon Elasticsearch Service's simplicity comes a multitude of opportunity to use it as a back end for real-time application and infrastructure monitoring. With this wealth of opportunities comes sprawl - developers in your organization are deploying Amazon Elasticsearch Service for many different workloads and many different purposes. Should you centralize into one Amazon Elasticsearch Service domain? What are the tradeoffs in scale and cost? How do you control access to the data and dashboards? How do you structure your indexes - single tenant or multi-tenant? In this session, we'll explore whether, when, and how to centralize logging across your organization to minimize cost and maximize value and learn how Autodesk has built a unified log analytics solution using Amazon Elasticsearch Service.
Re:cap día 1 del Aws Re:Invent 2023 - AWS UG ChileAlvaro Garcia
Host y orador de la primer sesion Re:Cap del AWS Re:Invent 2023 - 16 de Enero 2024
Separamos los temas en dos días a continuación estaré subiendo la siguiente slide.
AWS re-Invent re-Cap general deck 2022-2023 .pdfRohini Gaonkar
Lot of new AWS services were announced in 2022 re:Invent, far too many to cover in one talk. Sharing consolidated list of most prominent new AWS service and feature launches announced at AWS re:Invent 2022 across various technologies - compute, storage, devops, serverless, machine learning, data, analytics, security, networking, developer experience and more!
Analyze Amazon CloudFront and Lambda@Edge Logs to Improve Customer Experience...Amazon Web Services
Nowadays, web servers are often fronted by a global content delivery network, such as Amazon CloudFront, to accelerate delivery of websites, APIs, media content, and other web assets. In this hands-on-workshop, learn to improve website availability, optimize content based on devices, browser and user demographics, identify and analyze CDN usage patterns, and perform end-to-end debugging by correlating logs from various points in a request-response pipeline. Build an end-to-end serverless solution to analyze Amazon CloudFront logs using AWS Glue and Amazon Athena, generate visualization to derive deeper insights using Amazon QuickSight, and correlate with other logs such as CloudWatch logs to provide finer debugging experiences. Discuss how you can extend the pipeline you just built to generate deeper insights needed to improve the overall experience for your users.
Better Together: Delivering Graph Value with AWS & Neo4j - Antony Prasad The...Neo4j
This document discusses deploying Neo4j, a graph database platform, on Amazon Web Services (AWS). It provides information on the partnership between Neo4j and AWS, how Neo4j fits into the AWS ecosystem, best practices for architecture and configuration, and steps for deployment using the AWS Marketplace or Neo4j Partners GitHub repository. The document aims to help users get started with running Neo4j on AWS infrastructure.
[NEW LAUNCH!] Introducing AWS App Mesh – service mesh on AWS (CON367) - AWS r...Amazon Web Services
AWS App Mesh is a new service mesh that provides visibility and control for microservices applications on AWS. It configures Envoy proxies using a control plane to handle tasks like load balancing, monitoring, and authentication cross multiple services. App Mesh currently supports Amazon ECS and EKS workloads and will add integrations for services like AWS Fargate.
Accelerate Productivity by Computing at the Edge - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Consider why pre-processing data prior to transferring to the cloud can save time and money
- Contemplate by learning edge IoT and analytics customer examples and use cases
- Conclude why AWS Snowball Edge provides a unique solution to this challenge
Design, Build, and Modernize Your Web Applications with AWSIrene Luong
This document outlines an agenda for an AWS workshop in Saigon, Vietnam on designing, building, and modernizing web applications with AWS. The workshop will cover cloud computing concepts, AWS core components like EC2 and S3, and hands-on sessions demonstrating services like Auto Scaling, Elastic Load Balancing, and Lambda. It provides WiFi credentials and introduces the speaker.
Amazon QuickSight is a business intelligence service that allows users to connect to data sources, create interactive dashboards, and securely share them across organizations. It offers auto-scaling, high availability, integration with AWS services, and pay-per-use pricing starting at $5/month for readers. QuickSight provides machine learning capabilities like anomaly detection and forecasting. It also allows embedding dashboards in applications. Customers like Capital One, Comcast, and the NFL use QuickSight for self-service analytics, embedded analytics, and delivering insights to large numbers of users through its reader role and usage-based pricing.
Securing Machine Learning Deployments for the Enterprise (SEC369-R1) - AWS re...Amazon Web Services
Managing that balance between running machine learning (ML) and deep learning algorithms and following approved security practices from your security organization is critical in keeping your data and your customers’ data safe. In this chalk talk, we introduce a common ML/deep learning flow using Amazon SageMaker, identify various points of data exchange with Amazon EMR and Amazon S3, and dive deep into the security and governance of the data and infrastructure. Learn about using security controls and building processes with services like AWS CloudTrail, AWS Config, Amazon CloudWatch Events, and AWS Lambda. Gain an understanding of the options and best practices for running ML and deep learning on AWS.Please join us for a speaker meet-and-greet following this session at the Speaker Lounge (ARIA East, Level 1, Willow Lounge). The meet-and-greet starts 15 minutes after the session and runs for half an hour.
This session highlights how Earth observation data shared in the cloud is accelerating research in machine learning that can have a dramatic impact on the effectiveness of future warfighting capability. Come learn about SpaceNet, a project sponsored by CosmiQ Works, DigitalGlobe, and Nvidia that makes commercial satellite imagery available for machine learning research on AWS. In this session, you will learn how AWS machine learning services like SageMaker, hyper-scale GPU compute capacity, and datasets shared in the cloud can ultimately produce machine learning models that could have a dramatic impact on the effectiveness of future warfighting capability. As the DoD strives to bring innovation directly to the warfighter, a combination of global open data sets coupled with easily built ML models can give warfighters access to critical information when the mission needs it most.
How to Architect and Bring to Market SaaS on AWS GovCloud (US)Amazon Web Services
AWS GovCloud (US) is an isolated AWS region designated to allow US government agencies and organizations in highly-regulated industries to move sensitive data and regulated IT workloads to the cloud by addressing their specific regulatory and compliance requirements. These organizations are increasingly integrating SaaS technologies into their IT environments; however, they often require SaaS products to address the same compliance features of the GovCloud region. This session will discuss how SaaS vendors should approach migrating to GovCloud (US), key architecture, compliance and operational considerations and best practices for bringing a SaaS product on GovCloud (US) to market. This session also shows you how to meet acquisition and procurement policies with AWS Marketplace for AWS GovCloud (US).
Operational Excellence with Containerized Workloads Using AWS Fargate (CON320...Amazon Web Services
The document discusses operational excellence with containerized workloads using AWS Fargate. It provides an overview of AWS Fargate and how it allows customers to run containerized applications without having to manage Amazon EC2 instances. It then discusses how Fargate provides an elastic and integrated service with the AWS ecosystem. Case studies are also presented of companies like Turner and Corteva Agriscience that have migrated workloads to AWS Fargate to reduce costs and improve agility.
Developing Well Architected iOS Apps with AWS (MOB303) - AWS re:Invent 2018Amazon Web Services
In this fast-moving world of mobile app development, cloud services complement well architected front-end techniques to improve user experience. In this session, you learn how to build a scalable and secure backend for your iOS native app and how to apply the best client-side development techniques to access your backend while providing real-time and offline data, authentication, and analytics that you can leverage to make your app a success.
Interview Methods - Marital and Family Therapy and Counselling - Psychology S...PsychoTech Services
A proprietary approach developed by bringing together the best of learning theories from Psychology, design principles from the world of visualization, and pedagogical methods from over a decade of training experience, that enables you to: Learn better, faster!
Do People Really Know Their Fertility Intentions? Correspondence between Sel...Xiao Xu
Fertility intention data from surveys often serve as a crucial component in modeling fertility behaviors. Yet, the persistent gap between stated intentions and actual fertility decisions, coupled with the prevalence of uncertain responses, has cast doubt on the overall utility of intentions and sparked controversies about their nature. In this study, we use survey data from a representative sample of Dutch women. With the help of open-ended questions (OEQs) on fertility and Natural Language Processing (NLP) methods, we are able to conduct an in-depth analysis of fertility narratives. Specifically, we annotate the (expert) perceived fertility intentions of respondents and compare them to their self-reported intentions from the survey. Through this analysis, we aim to reveal the disparities between self-reported intentions and the narratives. Furthermore, by applying neural topic modeling methods, we could uncover which topics and characteristics are more prevalent among respondents who exhibit a significant discrepancy between their stated intentions and their probable future behavior, as reflected in their narratives.
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This document discusses implementing multi-region architectures for AWS IoT. It begins by explaining why a multi-region approach is important for IoT applications. It then covers foundational aspects like account structure, device bootstrapping and configuration, and building single region resiliency. The document also presents variations on multi-region architectures like active-passive and active-active models. Finally, it discusses specific examples and considerations for Analog Devices' machine health monitoring solution.
Keynote Gregor Hohpe - Serverless ArchitecturesBATbern
Serverless is much more than an abstraction over compute run-time. Serverless applications are inherently distributed, easily respond to incoming events, and change the role of cloud automation. This session reflects on how serverless influences our application delivery and takes a peek at recent trends like Event-driven Architectures and Infrastructure from Code.
Vanguard's Journey with Tableau to the AWS Cloud (FSV307-S) - AWS re:Invent 2018Amazon Web Services
With over $5 trillion in assets under management, Vanguard requires a secure, flexible, and fast data and analytics platform. By deploying Tableau on AWS, Vanguard was able to move from their private cloud to the AWS Cloud, and significantly reduce the administrative workload of Vanguard's IT team, allowing them to focus on innovating. In this session, learn how mission-critical processes such as configuring deployments, adding nodes, and creating backups are automated via scripts. Expect to leave with a clear picture of how a global deployment of Tableau on AWS supports peak surges and avoids the sunk costs of on-premises hardware. This session is brought to you by AWS partner, Tableau Software.
Build Your Own Log Analytics Solutions on AWS (ANT323-R) - AWS re:Invent 2018Amazon Web Services
With Amazon Elasticsearch Service's simplicity comes a multitude of opportunity to use it as a back end for real-time application and infrastructure monitoring. With this wealth of opportunities comes sprawl - developers in your organization are deploying Amazon Elasticsearch Service for many different workloads and many different purposes. Should you centralize into one Amazon Elasticsearch Service domain? What are the tradeoffs in scale and cost? How do you control access to the data and dashboards? How do you structure your indexes - single tenant or multi-tenant? In this session, we'll explore whether, when, and how to centralize logging across your organization to minimize cost and maximize value and learn how Autodesk has built a unified log analytics solution using Amazon Elasticsearch Service.
Re:cap día 1 del Aws Re:Invent 2023 - AWS UG ChileAlvaro Garcia
Host y orador de la primer sesion Re:Cap del AWS Re:Invent 2023 - 16 de Enero 2024
Separamos los temas en dos días a continuación estaré subiendo la siguiente slide.
AWS re-Invent re-Cap general deck 2022-2023 .pdfRohini Gaonkar
Lot of new AWS services were announced in 2022 re:Invent, far too many to cover in one talk. Sharing consolidated list of most prominent new AWS service and feature launches announced at AWS re:Invent 2022 across various technologies - compute, storage, devops, serverless, machine learning, data, analytics, security, networking, developer experience and more!
Analyze Amazon CloudFront and Lambda@Edge Logs to Improve Customer Experience...Amazon Web Services
Nowadays, web servers are often fronted by a global content delivery network, such as Amazon CloudFront, to accelerate delivery of websites, APIs, media content, and other web assets. In this hands-on-workshop, learn to improve website availability, optimize content based on devices, browser and user demographics, identify and analyze CDN usage patterns, and perform end-to-end debugging by correlating logs from various points in a request-response pipeline. Build an end-to-end serverless solution to analyze Amazon CloudFront logs using AWS Glue and Amazon Athena, generate visualization to derive deeper insights using Amazon QuickSight, and correlate with other logs such as CloudWatch logs to provide finer debugging experiences. Discuss how you can extend the pipeline you just built to generate deeper insights needed to improve the overall experience for your users.
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This document discusses deploying Neo4j, a graph database platform, on Amazon Web Services (AWS). It provides information on the partnership between Neo4j and AWS, how Neo4j fits into the AWS ecosystem, best practices for architecture and configuration, and steps for deployment using the AWS Marketplace or Neo4j Partners GitHub repository. The document aims to help users get started with running Neo4j on AWS infrastructure.
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AWS App Mesh is a new service mesh that provides visibility and control for microservices applications on AWS. It configures Envoy proxies using a control plane to handle tasks like load balancing, monitoring, and authentication cross multiple services. App Mesh currently supports Amazon ECS and EKS workloads and will add integrations for services like AWS Fargate.
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Learning Objectives:
- Consider why pre-processing data prior to transferring to the cloud can save time and money
- Contemplate by learning edge IoT and analytics customer examples and use cases
- Conclude why AWS Snowball Edge provides a unique solution to this challenge
Design, Build, and Modernize Your Web Applications with AWSIrene Luong
This document outlines an agenda for an AWS workshop in Saigon, Vietnam on designing, building, and modernizing web applications with AWS. The workshop will cover cloud computing concepts, AWS core components like EC2 and S3, and hands-on sessions demonstrating services like Auto Scaling, Elastic Load Balancing, and Lambda. It provides WiFi credentials and introduces the speaker.
Amazon QuickSight is a business intelligence service that allows users to connect to data sources, create interactive dashboards, and securely share them across organizations. It offers auto-scaling, high availability, integration with AWS services, and pay-per-use pricing starting at $5/month for readers. QuickSight provides machine learning capabilities like anomaly detection and forecasting. It also allows embedding dashboards in applications. Customers like Capital One, Comcast, and the NFL use QuickSight for self-service analytics, embedded analytics, and delivering insights to large numbers of users through its reader role and usage-based pricing.
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Managing that balance between running machine learning (ML) and deep learning algorithms and following approved security practices from your security organization is critical in keeping your data and your customers’ data safe. In this chalk talk, we introduce a common ML/deep learning flow using Amazon SageMaker, identify various points of data exchange with Amazon EMR and Amazon S3, and dive deep into the security and governance of the data and infrastructure. Learn about using security controls and building processes with services like AWS CloudTrail, AWS Config, Amazon CloudWatch Events, and AWS Lambda. Gain an understanding of the options and best practices for running ML and deep learning on AWS.Please join us for a speaker meet-and-greet following this session at the Speaker Lounge (ARIA East, Level 1, Willow Lounge). The meet-and-greet starts 15 minutes after the session and runs for half an hour.
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AWS GovCloud (US) is an isolated AWS region designated to allow US government agencies and organizations in highly-regulated industries to move sensitive data and regulated IT workloads to the cloud by addressing their specific regulatory and compliance requirements. These organizations are increasingly integrating SaaS technologies into their IT environments; however, they often require SaaS products to address the same compliance features of the GovCloud region. This session will discuss how SaaS vendors should approach migrating to GovCloud (US), key architecture, compliance and operational considerations and best practices for bringing a SaaS product on GovCloud (US) to market. This session also shows you how to meet acquisition and procurement policies with AWS Marketplace for AWS GovCloud (US).
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Developing Well Architected iOS Apps with AWS (MOB303) - AWS re:Invent 2018Amazon Web Services
In this fast-moving world of mobile app development, cloud services complement well architected front-end techniques to improve user experience. In this session, you learn how to build a scalable and secure backend for your iOS native app and how to apply the best client-side development techniques to access your backend while providing real-time and offline data, authentication, and analytics that you can leverage to make your app a success.
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Do People Really Know Their Fertility Intentions? Correspondence between Sel...Xiao Xu
Fertility intention data from surveys often serve as a crucial component in modeling fertility behaviors. Yet, the persistent gap between stated intentions and actual fertility decisions, coupled with the prevalence of uncertain responses, has cast doubt on the overall utility of intentions and sparked controversies about their nature. In this study, we use survey data from a representative sample of Dutch women. With the help of open-ended questions (OEQs) on fertility and Natural Language Processing (NLP) methods, we are able to conduct an in-depth analysis of fertility narratives. Specifically, we annotate the (expert) perceived fertility intentions of respondents and compare them to their self-reported intentions from the survey. Through this analysis, we aim to reveal the disparities between self-reported intentions and the narratives. Furthermore, by applying neural topic modeling methods, we could uncover which topics and characteristics are more prevalent among respondents who exhibit a significant discrepancy between their stated intentions and their probable future behavior, as reflected in their narratives.
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linkedin icon www.infinity-services.com
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