Matt Garman, VP of AWS Compute Services, introduces the latest innovations in the compute space. In this keynote address, we announce new compute capabilities, and we share insights into what makes the AWS compute business unique. We also announce new capabilities for Amazon EC2 instances, EC2 networking, EC2 Spot Instances, Amazon Lightsail, Containers, and Serverless. Matt is joined by executives from our customers and partners who share valuable success stories of how Amazon EC2 has helped their journey to digital transformation.
Amazon Cloud Directory Deep Dive (DAT364) - AWS re:Invent 2018Amazon Web Services
Learn how companies like FocusCura and Clouden have on-boarded hierarchical data at scale using Amazon Cloud Directory, a highly available, fully managed, serverless, hierarchical datastore. It’s well-suited for such use cases as human resources applications, course catalogs, device registry, network topology, and any application that needs fine-grained permissions (authorization). We do a deep dive into the internals of Cloud Directory and discuss best practices.
Building Volkswagen Group's Digital Ecosystem (AMT304) - AWS re:Invent 2018Amazon Web Services
Volkswagen has built a One Digital Platform (ODP) based on AWS to power its digital transformation and develop new mobility solutions. The ODP provides a flexible cloud-native architecture and will extend connectivity to vehicles. Volkswagen migrated over 100 applications to the ODP within 14 months to support new vehicle launches. Lessons learned included adopting an evolutionary approach, aligning platform development with application needs, investing in new skills, and gaining acceptance across functions. Next steps involve refactoring applications, modularizing code, and scaling the platform to support 15 million connected vehicles.
Building and Moving Live Broadcasting to AWS (CTD305) - AWS re:Invent 2018Amazon Web Services
Learn how the BBC and Nine Network have enhanced the user experience and created new business models and opportunities, giving audiences more choices with more features, all while maintaining broadcast-grade service. When your business is providing live content to viewers, you know that there are no second chances. Audiences have come to expect a faultless live broadcast, and providers know they must ensure reliability with failover and redundancy plans. Learn how migrating to the cloud offers a new way to architect live-streaming workflows while maintaining the highest standards of resilience.
Trends in Digital Transformation (ARC212) - AWS re:Invent 2018Amazon Web Services
As industries digitally transform their existing business models to fend off competitors or disrupt new markets, they find their IT to be a limiting factor. In this session, we cover the trends of disruptions and opportunities of digital transformation, and the evolution of IT monoliths to microservices and now cloud native services. We also explore dependency management, or “lock in,” through a “choosing, using, and losing” mental model. Finally, we explore chaos architecture as an evolving method for exposing weaknesses before they become real problems.
Deep Dive on Amazon Rekognition, ft. Tinder & News UK (AIM307-R) - AWS re:Inv...Amazon Web Services
Join us for a deep dive on the latest features of Amazon Rekognition. Learn how to easily add intelligent image and video analysis to applications in order to automate manual workflows, enhance creativity, and provide more personalized customer experiences. We share best practices for fine-tuning and optimizing Amazon Rekognition for a variety of use cases, including moderating content, creating searchable content libraries, and integrating secondary authentication into existing applications.
Leadership Session: Digital Advertising - Customer Learning & the Road Ahead ...Amazon Web Services
In this session, learn how experienced leaders in digital advertising respond to the rapid evolution and sophistication of the advertising market driven by innovation and groundbreaking technology. Our customers share real-world applications they've leveraged in the cloud and how they see the media landscape changing as adoption of AI in the space becomes more widespread. Learn about existing and upcoming advancements and how they affect digital transformation in the years to come. Come away with ideas on how you can apply these learnings to your technology stack.
Deep Learning Applications Using PyTorch, Featuring Facebook (AIM402-R) - AWS...Amazon Web Services
With support for PyTorch 1.0 on Amazon SageMaker, you now have a flexible deep learning framework combined with a fully managed machine learning platform to transition seamlessly from research prototyping to production deployment. In this session, learn how to develop with PyTorch 1.0 within Amazon SageMaker using a novel generative adversarial network (GAN) tutorial. Then, hear from Facebook on how you can use the FAIRSeq modeling toolkit, which serves 6B translations daily for Facebook users, to train your own custom PyTorch models on Amazon SageMaker. Facebook also discusses the evolution of PyTorch 1.0 and features introduced to accelerate research and deployment.
Amazon Cloud Directory Deep Dive (DAT364) - AWS re:Invent 2018Amazon Web Services
Learn how companies like FocusCura and Clouden have on-boarded hierarchical data at scale using Amazon Cloud Directory, a highly available, fully managed, serverless, hierarchical datastore. It’s well-suited for such use cases as human resources applications, course catalogs, device registry, network topology, and any application that needs fine-grained permissions (authorization). We do a deep dive into the internals of Cloud Directory and discuss best practices.
Building Volkswagen Group's Digital Ecosystem (AMT304) - AWS re:Invent 2018Amazon Web Services
Volkswagen has built a One Digital Platform (ODP) based on AWS to power its digital transformation and develop new mobility solutions. The ODP provides a flexible cloud-native architecture and will extend connectivity to vehicles. Volkswagen migrated over 100 applications to the ODP within 14 months to support new vehicle launches. Lessons learned included adopting an evolutionary approach, aligning platform development with application needs, investing in new skills, and gaining acceptance across functions. Next steps involve refactoring applications, modularizing code, and scaling the platform to support 15 million connected vehicles.
Building and Moving Live Broadcasting to AWS (CTD305) - AWS re:Invent 2018Amazon Web Services
Learn how the BBC and Nine Network have enhanced the user experience and created new business models and opportunities, giving audiences more choices with more features, all while maintaining broadcast-grade service. When your business is providing live content to viewers, you know that there are no second chances. Audiences have come to expect a faultless live broadcast, and providers know they must ensure reliability with failover and redundancy plans. Learn how migrating to the cloud offers a new way to architect live-streaming workflows while maintaining the highest standards of resilience.
Trends in Digital Transformation (ARC212) - AWS re:Invent 2018Amazon Web Services
As industries digitally transform their existing business models to fend off competitors or disrupt new markets, they find their IT to be a limiting factor. In this session, we cover the trends of disruptions and opportunities of digital transformation, and the evolution of IT monoliths to microservices and now cloud native services. We also explore dependency management, or “lock in,” through a “choosing, using, and losing” mental model. Finally, we explore chaos architecture as an evolving method for exposing weaknesses before they become real problems.
Deep Dive on Amazon Rekognition, ft. Tinder & News UK (AIM307-R) - AWS re:Inv...Amazon Web Services
Join us for a deep dive on the latest features of Amazon Rekognition. Learn how to easily add intelligent image and video analysis to applications in order to automate manual workflows, enhance creativity, and provide more personalized customer experiences. We share best practices for fine-tuning and optimizing Amazon Rekognition for a variety of use cases, including moderating content, creating searchable content libraries, and integrating secondary authentication into existing applications.
Leadership Session: Digital Advertising - Customer Learning & the Road Ahead ...Amazon Web Services
In this session, learn how experienced leaders in digital advertising respond to the rapid evolution and sophistication of the advertising market driven by innovation and groundbreaking technology. Our customers share real-world applications they've leveraged in the cloud and how they see the media landscape changing as adoption of AI in the space becomes more widespread. Learn about existing and upcoming advancements and how they affect digital transformation in the years to come. Come away with ideas on how you can apply these learnings to your technology stack.
Deep Learning Applications Using PyTorch, Featuring Facebook (AIM402-R) - AWS...Amazon Web Services
With support for PyTorch 1.0 on Amazon SageMaker, you now have a flexible deep learning framework combined with a fully managed machine learning platform to transition seamlessly from research prototyping to production deployment. In this session, learn how to develop with PyTorch 1.0 within Amazon SageMaker using a novel generative adversarial network (GAN) tutorial. Then, hear from Facebook on how you can use the FAIRSeq modeling toolkit, which serves 6B translations daily for Facebook users, to train your own custom PyTorch models on Amazon SageMaker. Facebook also discusses the evolution of PyTorch 1.0 and features introduced to accelerate research and deployment.
Leadership Session: Accelerating Transformation in the Life Sciences (LFS201-...Amazon Web Services
In this session, learn our vision for continued innovation in the life sciences industry and how AWS services can help. Gain insight into the key cloud computing trends for biotechnology, pharmaceutical, and medical device companies. Hear how you can use the AWS cloud to accelerate research, modernize clinical trials, build smarter manufacturing processes, and create deeper partnerships with healthcare providers and payers through real world evidence and digital therapeutics.
Build a "Who's Who" App for Your Media Content (AIM409) - AWS re:Invent 2018Amazon Web Services
Video has become an increasingly successful medium for advertising, marketing, and engaging customers. However, many companies underutilize their substantial video assets because they are poorly indexed and cataloged. In this workshop, learn how to use machine learning services to gain more value from video by building a customer celebrity detection feature that can recognize mainstream celebrities and individuals from your own uploaded media files.
Build Deep Learning Applications Using PyTorch and Amazon SageMaker (AIM432-R...Amazon Web Services
This document discusses building deep learning applications using PyTorch and Amazon SageMaker. It provides an overview of PyTorch and its key features and capabilities for deep learning. It also describes Amazon SageMaker as a fully managed service for hosting, deploying, and managing machine learning models at scale. It presents an example of bringing a PyTorch model to SageMaker using a PyTorch container and discussing related solution architectures and breakout sessions.
Machine Learning at the Edge (AIM302) - AWS re:Invent 2018Amazon Web Services
Video-based tools have enabled advancements in computer vision, such as in-vehicle use cases for AI. However, it is not always possible to send this data to the cloud to be processed. In this session, learn how to train machine learning models using Amazon SageMaker and deploy them to an edge device using AWS Greengrass, enabling you process data quickly at the edge, even when there is no connectivity.
Leadership Session: Developing Mobile & Web Apps on AWS (MOB202-L) - AWS re:I...Amazon Web Services
Do you wonder what AWS thinks about mobile development? In this session, learn the very latest about the many AWS services that web and mobile developers can leverage to make cloud-enabled development possible, and hear what might be in store for the future.
0x32 Shades of #7f7f7f: The Tension Between Absolutes and Ambiguity in Securi...Amazon Web Services
The document discusses the tension between absolute security and allowing for ambiguity. It notes that security organizations aim to maximize customer value while minimizing costs over time. It also discusses concepts like entitlement, goal setting, and continually refining security approaches and questions to achieve the goal of zero vulnerabilities.
Machine Learning for Improving Disaster Management and Response (WPS313) - AW...Amazon Web Services
In this session, we start with Twitter data from a past disaster and use Amazon Comprehend to discover insights and relationships. Finally, we use Amazon SNS to notify iOS, Android, and Fire OS-based mobile devices.
Build an Intelligent Multi-Modal User Agent with Voice and NLU (AIM340) - AWS...Amazon Web Services
The document discusses building an intelligent virtual personal assistant (VPA) using voice and natural language understanding capabilities. It proposes an architecture for a VPA that uses various Amazon Web Services like Amazon Lex, Amazon Polly, Amazon Comprehend and Amazon Neptune. The architecture includes components for natural language understanding, dialog management, knowledge representation and reinforcement learning to improve the VPA's abilities over time. The presentation concludes that integrating these existing tools could enable the development of an effective interactive VPA to help with knowledge workers' tasks.
Supercell – Scaling Mobile Games (GAM301) - AWS re:Invent 2018Amazon Web Services
This document discusses Supercell's approach to scaling their mobile games and analytics infrastructure. Supercell has 5 games with hundreds of millions of active users. They use a microservices architecture and sharding to scale their games across thousands of EC2 instances. Their analytics pipeline collects terabytes of data daily, storing it in S3 and processing it with EMR. They have transitioned to separating compute and storage to better scale their analytics capabilities.
Introduction to AI services for Developers - Builders Day IsraelAmazon Web Services
Artificial Intelligence (AI) services on the AWS cloud bring the power of deep learning within reach of every developer, allowing us to develop new tools and enrich our systems with new capabilities. In this session, we will look into the opportunities to apply one or more of these services provide a number of examples and use cases to help you get started.
Hollywood's Cloud-Based Content Lakes: Modernized Media Archives (MAE203) - A...Amazon Web Services
Content lake architecture can evolve the media workflow by providing efficiency from content security all the way to value-added services, such as machine learning and content monetization. In this session, technical leaders from 21st Century Fox, Warner Bros., and Astro Malaysia discuss the migration of their petabyte-scale video libraries (production and distribution archives) to the cloud in order to increase the customer reach and value of their media archives. Discover some of the lessons learned, the TCO analysis around various different storage tiers, the challenges and best practices from 10s of petabytes ingest, storage, and value-added compute at scale.
Leadership Session: Using AWS End User Computing Services for Your Modern Wor...Amazon Web Services
This document discusses Amazon Web Services end user computing services. It provides an overview of Amazon WorkSpaces (highly interactive cloud desktops), Amazon WorkDocs (secure file storage and collaboration), and Amazon AppStream 2.0 (application streaming). Case studies are presented on how Biogen and Halliburton use these services. The document concludes with takeaways and information on related sessions.
The document discusses strategies for migrating databases to the cloud. It begins by outlining objectives and factors that contribute to successful database migration projects. It then covers various migration options like rehosting, replatforming, or rearchitecting databases. The document also discusses tools like the Schema Conversion Tool (SCT) and Database Migration Service (DMS) that can assist with assessment, conversion between database engines, and migrating data between on-premises and cloud databases. The overall process involves planning, assessment, executing the migration in phases, and testing.
Based on the same technology used at Amazon.com, Amazon Forecast uses machine learning to combine time series data with additional variables to build forecasts. Amazon Forecast requires no machine learning experience to get started. You only need to provide historical data, plus any additional data that you believe may impact your forecasts. Come learn more.
Build AWS Skills Through Community-Led User Groups (DVC202) - AWS reInvent 20...Amazon Web Services
This document discusses building AWS skills through community-led user groups. It lists panelists from various user groups and companies and provides information on joining online AWS community channels, submitting questions during a panel discussion using a specific Slido code, and finding AWS user groups worldwide.
How AWS Minimizes the Blast Radius of Failures (ARC338) - AWS re:Invent 2018Amazon Web Services
At AWS, we obsess over operational excellence. We have a deep understanding of system availability, informed by over a decade of experience operating the cloud and our roots of operating Amazon.com for nearly a quarter-century. One thing we've learned is that failures come in many forms, some expected, and some unexpected. It's vital to build from the ground up and embrace failure. A core consideration is how to minimize the "blast radius" of any failures. In this talk, we discuss a range of blast radius reduction design techniques that we employ, including cell-based architecture, shuffle-sharding, availability zone independence, and region isolation. We also discuss how blast radius reduction infuses our operational practices.
This document discusses orchestrating AWS Lambda functions with AWS Step Functions. It begins with an overview of serverless applications and the need for coordination between functions. It then introduces AWS Step Functions as a way to visually define, manage, and coordinate functions through state machines. Key features of Step Functions include different state types, input/output processing, error handling, integration with other AWS services, and serverless pricing. Overall, Step Functions allows for building, scaling, and evolving serverless applications in a reliable way.
Business fraud is a growing concern across online and offline transactions. In this chalk talk, we dive into detecting fraud using machine learning with Amazon SageMaker and Amazon Neptune. We discuss the details of building models, such as class imbalance. We also discuss the different costs of false positives and false negatives. Additionally, we talk about algorithms like Linear Learners that can be used to build healthy models in such scenarios.
Learn how customers are leveraging AWS hybrid cloud capabilities to easily extend their datacenter capacity, deliver new services and applications, and ensure business continuity and disaster recovery.
Leadership Session: Accelerating Transformation in the Life Sciences (LFS201-...Amazon Web Services
In this session, learn our vision for continued innovation in the life sciences industry and how AWS services can help. Gain insight into the key cloud computing trends for biotechnology, pharmaceutical, and medical device companies. Hear how you can use the AWS cloud to accelerate research, modernize clinical trials, build smarter manufacturing processes, and create deeper partnerships with healthcare providers and payers through real world evidence and digital therapeutics.
Build a "Who's Who" App for Your Media Content (AIM409) - AWS re:Invent 2018Amazon Web Services
Video has become an increasingly successful medium for advertising, marketing, and engaging customers. However, many companies underutilize their substantial video assets because they are poorly indexed and cataloged. In this workshop, learn how to use machine learning services to gain more value from video by building a customer celebrity detection feature that can recognize mainstream celebrities and individuals from your own uploaded media files.
Build Deep Learning Applications Using PyTorch and Amazon SageMaker (AIM432-R...Amazon Web Services
This document discusses building deep learning applications using PyTorch and Amazon SageMaker. It provides an overview of PyTorch and its key features and capabilities for deep learning. It also describes Amazon SageMaker as a fully managed service for hosting, deploying, and managing machine learning models at scale. It presents an example of bringing a PyTorch model to SageMaker using a PyTorch container and discussing related solution architectures and breakout sessions.
Machine Learning at the Edge (AIM302) - AWS re:Invent 2018Amazon Web Services
Video-based tools have enabled advancements in computer vision, such as in-vehicle use cases for AI. However, it is not always possible to send this data to the cloud to be processed. In this session, learn how to train machine learning models using Amazon SageMaker and deploy them to an edge device using AWS Greengrass, enabling you process data quickly at the edge, even when there is no connectivity.
Leadership Session: Developing Mobile & Web Apps on AWS (MOB202-L) - AWS re:I...Amazon Web Services
Do you wonder what AWS thinks about mobile development? In this session, learn the very latest about the many AWS services that web and mobile developers can leverage to make cloud-enabled development possible, and hear what might be in store for the future.
0x32 Shades of #7f7f7f: The Tension Between Absolutes and Ambiguity in Securi...Amazon Web Services
The document discusses the tension between absolute security and allowing for ambiguity. It notes that security organizations aim to maximize customer value while minimizing costs over time. It also discusses concepts like entitlement, goal setting, and continually refining security approaches and questions to achieve the goal of zero vulnerabilities.
Machine Learning for Improving Disaster Management and Response (WPS313) - AW...Amazon Web Services
In this session, we start with Twitter data from a past disaster and use Amazon Comprehend to discover insights and relationships. Finally, we use Amazon SNS to notify iOS, Android, and Fire OS-based mobile devices.
Build an Intelligent Multi-Modal User Agent with Voice and NLU (AIM340) - AWS...Amazon Web Services
The document discusses building an intelligent virtual personal assistant (VPA) using voice and natural language understanding capabilities. It proposes an architecture for a VPA that uses various Amazon Web Services like Amazon Lex, Amazon Polly, Amazon Comprehend and Amazon Neptune. The architecture includes components for natural language understanding, dialog management, knowledge representation and reinforcement learning to improve the VPA's abilities over time. The presentation concludes that integrating these existing tools could enable the development of an effective interactive VPA to help with knowledge workers' tasks.
Supercell – Scaling Mobile Games (GAM301) - AWS re:Invent 2018Amazon Web Services
This document discusses Supercell's approach to scaling their mobile games and analytics infrastructure. Supercell has 5 games with hundreds of millions of active users. They use a microservices architecture and sharding to scale their games across thousands of EC2 instances. Their analytics pipeline collects terabytes of data daily, storing it in S3 and processing it with EMR. They have transitioned to separating compute and storage to better scale their analytics capabilities.
Introduction to AI services for Developers - Builders Day IsraelAmazon Web Services
Artificial Intelligence (AI) services on the AWS cloud bring the power of deep learning within reach of every developer, allowing us to develop new tools and enrich our systems with new capabilities. In this session, we will look into the opportunities to apply one or more of these services provide a number of examples and use cases to help you get started.
Hollywood's Cloud-Based Content Lakes: Modernized Media Archives (MAE203) - A...Amazon Web Services
Content lake architecture can evolve the media workflow by providing efficiency from content security all the way to value-added services, such as machine learning and content monetization. In this session, technical leaders from 21st Century Fox, Warner Bros., and Astro Malaysia discuss the migration of their petabyte-scale video libraries (production and distribution archives) to the cloud in order to increase the customer reach and value of their media archives. Discover some of the lessons learned, the TCO analysis around various different storage tiers, the challenges and best practices from 10s of petabytes ingest, storage, and value-added compute at scale.
Leadership Session: Using AWS End User Computing Services for Your Modern Wor...Amazon Web Services
This document discusses Amazon Web Services end user computing services. It provides an overview of Amazon WorkSpaces (highly interactive cloud desktops), Amazon WorkDocs (secure file storage and collaboration), and Amazon AppStream 2.0 (application streaming). Case studies are presented on how Biogen and Halliburton use these services. The document concludes with takeaways and information on related sessions.
The document discusses strategies for migrating databases to the cloud. It begins by outlining objectives and factors that contribute to successful database migration projects. It then covers various migration options like rehosting, replatforming, or rearchitecting databases. The document also discusses tools like the Schema Conversion Tool (SCT) and Database Migration Service (DMS) that can assist with assessment, conversion between database engines, and migrating data between on-premises and cloud databases. The overall process involves planning, assessment, executing the migration in phases, and testing.
Based on the same technology used at Amazon.com, Amazon Forecast uses machine learning to combine time series data with additional variables to build forecasts. Amazon Forecast requires no machine learning experience to get started. You only need to provide historical data, plus any additional data that you believe may impact your forecasts. Come learn more.
Build AWS Skills Through Community-Led User Groups (DVC202) - AWS reInvent 20...Amazon Web Services
This document discusses building AWS skills through community-led user groups. It lists panelists from various user groups and companies and provides information on joining online AWS community channels, submitting questions during a panel discussion using a specific Slido code, and finding AWS user groups worldwide.
How AWS Minimizes the Blast Radius of Failures (ARC338) - AWS re:Invent 2018Amazon Web Services
At AWS, we obsess over operational excellence. We have a deep understanding of system availability, informed by over a decade of experience operating the cloud and our roots of operating Amazon.com for nearly a quarter-century. One thing we've learned is that failures come in many forms, some expected, and some unexpected. It's vital to build from the ground up and embrace failure. A core consideration is how to minimize the "blast radius" of any failures. In this talk, we discuss a range of blast radius reduction design techniques that we employ, including cell-based architecture, shuffle-sharding, availability zone independence, and region isolation. We also discuss how blast radius reduction infuses our operational practices.
This document discusses orchestrating AWS Lambda functions with AWS Step Functions. It begins with an overview of serverless applications and the need for coordination between functions. It then introduces AWS Step Functions as a way to visually define, manage, and coordinate functions through state machines. Key features of Step Functions include different state types, input/output processing, error handling, integration with other AWS services, and serverless pricing. Overall, Step Functions allows for building, scaling, and evolving serverless applications in a reliable way.
Business fraud is a growing concern across online and offline transactions. In this chalk talk, we dive into detecting fraud using machine learning with Amazon SageMaker and Amazon Neptune. We discuss the details of building models, such as class imbalance. We also discuss the different costs of false positives and false negatives. Additionally, we talk about algorithms like Linear Learners that can be used to build healthy models in such scenarios.
Learn how customers are leveraging AWS hybrid cloud capabilities to easily extend their datacenter capacity, deliver new services and applications, and ensure business continuity and disaster recovery.
This document summarizes a virtual AWSome Day event. It introduces Ian Massingham as the worldwide lead for AWS technical and developer evangelism. It emphasizes the importance of feedback from attendees and highlights some key facts about AWS including that it has millions of active customers per month, the largest number of startup and enterprise customers, and the broadest ecosystem of independent software vendors. It also notes that AWS is positioned as a leader in the Gartner Magic Quadrant for cloud infrastructure as a service.
Transforming Enterprise IT - AWS Transformation Day 2018: DetroitAmazon Web Services
The document discusses transforming enterprise IT using cloud technologies. It notes that IT organizations have two main goals - reducing costs of current technology while also enabling business innovation. The document outlines how AWS, along with partners like Intel and VMware, can help enterprises develop hybrid cloud architectures to achieve these goals through services that provide security, flexibility and cost savings. It provides examples of how various industries are using AWS capabilities and services.
Architect Your Legacy Microsoft Apps into Modern Cloud WorkloadsAmazon Web Services
Join our upcoming webinar with AWS, Six Nines, and NRC Health to learn how NRC Health migrated their 20-year-old Microsoft application to the cloud, reducing the risk of downtime and long change management windows.
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.
Transforming Enterprise IT - AWS Transformation Day: Santa Clara 2018Amazon Web Services
As more and more enterprises start down the path of their digital transformation, the pressure on their IT organizations to support innovation across the business couldn’t be higher. In this session, we will outline a number of cutting edge technologies as well as an operating model that will allow IT to position itself as a business enabler and not a blocker. We will be sharing some mechanisms that will enable the IT organization to meet the pace of innovation that is being set by the business while giving them the flexibility to leverage existing assets.
About the Event:
AWS Transformation Day is designed for enterprise organizations migrating to the cloud to become more responsive, agile and innovative, while staying secure and compliant. Join us for this one-day event and we’ll share our experiences of helping enterprise customers accelerate the pace of migration and adoption of strategic services.
Who should attend?
This event is recommended for IT and business leaders who are looking to create sustainable benefits and a competitive advantage by using the AWS Cloud. CIOs, CTOs, CISOs, CDOs, CFOs, IT leaders and IT professionals, enterprise developers, business decision makers, and finance executives.
Transforming Enterprise IT - Transformation Day Montreal 2018Amazon Web Services
AWS Transformation Day is designed for enterprise organizations looking to make the move to the cloud in order to become more responsive, agile and innovative, while still staying secure and compliant.
Nuvem Híbrida - EBC on the road Brazil Edition [Portuguese]Amazon Web Services
The document discusses hybrid cloud architectures on AWS. It covers AWS portfolio of hybrid architectures, cloud strategies, connectivity and integration options between on-premises and AWS cloud environments. Examples of hybrid networking architectures on AWS using VPC, Direct Connect and hardware VPN connections are provided. Customer use cases around applications, DevOps, analytics and disaster recovery are also summarized.
The document discusses cloud computing concepts and Amazon Web Services (AWS). It defines cloud computing as the on-demand delivery of computing resources over the internet. The key advantages of cloud computing include replacing capital expenses with variable expenses and benefiting from economies of scale. It describes the three cloud computing models (IaaS, PaaS, SaaS) and three deployment models (all-in cloud, hybrid, private cloud). AWS is introduced as a cloud platform offering over 165 services across categories like compute, storage, databases, analytics and more. The document concludes by mentioning the AWS Cloud Adoption Framework.
This document discusses machine learning and Amazon Web Services' ML products and services. It covers AWS's ML infrastructure, AI services like Amazon Rekognition, efforts to improve training and inference costs through new instance types and Amazon Elastic Inference, and making it easier for developers to obtain labeled data through Amazon SageMaker. The document emphasizes that AWS has more ML customers and services than any other provider and is focused on increasing ease of use, reducing costs, and improving data preparation for ML developers.
This document discusses high performance computing (HPC) on Amazon Web Services (AWS). It provides an overview of AWS global infrastructure and regions, reasons for using AWS for HPC workloads, common HPC solution components on AWS like compute, storage, networking and automation options, and considerations for optimizing cost and performance of HPC workloads on AWS.
The document discusses Cardknox migrating over 1 million sensitive records to AWS. Cardknox faced challenges with scaling their legacy hosting environment. They migrated to AWS with help from Logicworks to gain agility, automation, and PCI compliance. The migration improved performance, security, and deployment speed while reducing manual IT work. Automation was key to maintaining compliance on AWS as their infrastructure changed frequently.
Transforming Enterprise IT- Transformation Day Philadelphia 2018Amazon Web Services
As more and more enterprises start down the path of their digital transformation, the pressure on their IT organizations to support innovation across the business couldn’t be higher. In this session, we will outline a number of cutting edge technologies as well as an operating model that will allow IT to position itself as a business enabler and not a blocker. We will be sharing some mechanisms that will enable the IT organization to meet the pace of innovation that is being set by the business while giving them the flexibility to leverage existing assets.
Transforming Enterprise IT - Virtual Transformation Day Feb 2019Amazon Web Services
Speaker: Wesley Wilks, Dan Gallivan
As more and more enterprises start down the path of their digital transformation, the pressure on their IT organizations to support innovation across the business couldn’t be higher. In this session, we will outline a number of cutting-edge technologies as well as an operating model that will allow IT to position itself as a business enabler and not a blocker. We will be sharing some mechanisms that will enable the IT organization to meet the pace of innovation that is being set by the business while giving them the flexibility to leverage existing assets.
AWS Transformation Day is designed for enterprise organizations looking to make the move to the cloud in order to become more responsive, agile and innovative, while still staying secure and compliant. Join us for this virtual event and we'll share our experiences of helping enterprise customers accelerate the pace of migration and adoption of strategic services.
We recommend this event for IT and business leaders who are looking to create sustainable benefits and a competitive advantage by using the AWS Cloud.
Better, Faster, Cheaper – Cost Optimizing Compute with Amazon EC2 Fleet #savi...Amazon Web Services
Amazon EC2 Fleet makes it easier than ever to grow your compute capacity and enable new types of cloud computing applications while maintaining the lowest TCO by blending EC2 Spot, On-Demand and RI purchase models. In this session, learn how to use the power of EC2 Fleet with AWS services such as Auto Scaling, ECS, EKS, EMR, Batch, Thinkbox Deadline and Opsworks to programmatically optimize costs while maintaining high performance and availability – all without breaking a sweat. We will dive deep into cost optimization patterns for workloads like containers, web services, CI/CD, batch, big data, rendering and more.
Serverless architectures let you build and deploy applications and services with infrastructure resources that require zero administration. In the past you had to provision and scale servers to run your application code install and operate distributed databases and build and run custom software to handle API requests. Now AWS provides a stack of scalable fully-managed services that eliminates these operational complexities. In this session you will learn about the the basics of serverless and especially how your business can benefit from it.
Running Lean Architectures: How to Optimize for Cost Efficiency (ARC202-R2) -...Amazon Web Services
Aimed at solutions architects and technical managers, this session focuses on the practical ways our customers achieve cost-efficient architectures through service selection and configuration. We start by discussing the building block services. We cover the main trends, such as containers and serverless, and we explore some of the specific services and configurations customers have used. We also take you through real-life examples that can be implemented to minimize costs while driving innovation and business output. After you attend this session, you will understand what is possible on AWS, and you will know ways in which you can deploy new workloads or modify existing workloads for optimization.
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.
This document provides an overview of cloud computing concepts and Amazon Web Services (AWS). It defines cloud computing as the on-demand delivery of computing resources via the internet. The three main models of cloud computing are Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Six key advantages of cloud computing are also outlined: replacing capital expenses with variable expenses, benefiting from economies of scale, eliminating guessing about capacity needs, increasing speed and agility, stopping spending on data centers, and enabling easy global deployment. AWS is then introduced as a cloud platform that provides over 165 services across categories like compute, storage, databases, analytics and more.
Similar to AWS Compute Leadership Session: What’s New in Amazon EC2, Containers, and Serverless (CMP207-L) - AWS re:Invent 2018 (20)
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...Amazon Web Services
Il Forecasting è un processo importante per tantissime aziende e viene utilizzato in vari ambiti per cercare di prevedere in modo accurato la crescita e distribuzione di un prodotto, l’utilizzo delle risorse necessarie nelle linee produttive, presentazioni finanziarie e tanto altro. Amazon utilizza delle tecniche avanzate di forecasting, in parte questi servizi sono stati messi a disposizione di tutti i clienti AWS.
In questa sessione illustreremo come pre-processare i dati che contengono una componente temporale e successivamente utilizzare un algoritmo che a partire dal tipo di dato analizzato produce un forecasting accurato.
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...Amazon Web Services
La varietà e la quantità di dati che si crea ogni giorno accelera sempre più velocemente e rappresenta una opportunità irripetibile per innovare e creare nuove startup.
Tuttavia gestire grandi quantità di dati può apparire complesso: creare cluster Big Data su larga scala sembra essere un investimento accessibile solo ad aziende consolidate. Ma l’elasticità del Cloud e, in particolare, i servizi Serverless ci permettono di rompere questi limiti.
Vediamo quindi come è possibile sviluppare applicazioni Big Data rapidamente, senza preoccuparci dell’infrastruttura, ma dedicando tutte le risorse allo sviluppo delle nostre le nostre idee per creare prodotti innovativi.
Ora puoi utilizzare Amazon Elastic Kubernetes Service (EKS) per eseguire pod Kubernetes su AWS Fargate, il motore di elaborazione serverless creato per container su AWS. Questo rende più semplice che mai costruire ed eseguire le tue applicazioni Kubernetes nel cloud AWS.In questa sessione presenteremo le caratteristiche principali del servizio e come distribuire la tua applicazione in pochi passaggi
Vent'anni fa Amazon ha attraversato una trasformazione radicale con l'obiettivo di aumentare il ritmo dell'innovazione. In questo periodo abbiamo imparato come cambiare il nostro approccio allo sviluppo delle applicazioni ci ha permesso di aumentare notevolmente l'agilità, la velocità di rilascio e, in definitiva, ci ha consentito di creare applicazioni più affidabili e scalabili. In questa sessione illustreremo come definiamo le applicazioni moderne e come la creazione di app moderne influisce non solo sull'architettura dell'applicazione, ma sulla struttura organizzativa, sulle pipeline di rilascio dello sviluppo e persino sul modello operativo. Descriveremo anche approcci comuni alla modernizzazione, compreso l'approccio utilizzato dalla stessa Amazon.com.
Come spendere fino al 90% in meno con i container e le istanze spot Amazon Web Services
L’utilizzo dei container è in continua crescita.
Se correttamente disegnate, le applicazioni basate su Container sono molto spesso stateless e flessibili.
I servizi AWS ECS, EKS e Kubernetes su EC2 possono sfruttare le istanze Spot, portando ad un risparmio medio del 70% rispetto alle istanze On Demand. In questa sessione scopriremo insieme quali sono le caratteristiche delle istanze Spot e come possono essere utilizzate facilmente su AWS. Impareremo inoltre come Spreaker sfrutta le istanze spot per eseguire applicazioni di diverso tipo, in produzione, ad una frazione del costo on-demand!
In recent months, many customers have been asking us the question – how to monetise Open APIs, simplify Fintech integrations and accelerate adoption of various Open Banking business models. Therefore, AWS and FinConecta would like to invite you to Open Finance marketplace presentation on October 20th.
Event Agenda :
Open banking so far (short recap)
• PSD2, OB UK, OB Australia, OB LATAM, OB Israel
Intro to Open Finance marketplace
• Scope
• Features
• Tech overview and Demo
The role of the Cloud
The Future of APIs
• Complying with regulation
• Monetizing data / APIs
• Business models
• Time to market
One platform for all: a Strategic approach
Q&A
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...Amazon Web Services
Per creare valore e costruire una propria offerta differenziante e riconoscibile, le startup di successo sanno come combinare tecnologie consolidate con componenti innovativi creati ad hoc.
AWS fornisce servizi pronti all'utilizzo e, allo stesso tempo, permette di personalizzare e creare gli elementi differenzianti della propria offerta.
Concentrandoci sulle tecnologie di Machine Learning, vedremo come selezionare i servizi di intelligenza artificiale offerti da AWS e, anche attraverso una demo, come costruire modelli di Machine Learning personalizzati utilizzando SageMaker Studio.
OpsWorks Configuration Management: automatizza la gestione e i deployment del...Amazon Web Services
Con l'approccio tradizionale al mondo IT per molti anni è stato difficile implementare tecniche di DevOps, che finora spesso hanno previsto attività manuali portando di tanto in tanto a dei downtime degli applicativi interrompendo l'operatività dell'utente. Con l'avvento del cloud, le tecniche di DevOps sono ormai a portata di tutti a basso costo per qualsiasi genere di workload, garantendo maggiore affidabilità del sistema e risultando in dei significativi miglioramenti della business continuity.
AWS mette a disposizione AWS OpsWork come strumento di Configuration Management che mira ad automatizzare e semplificare la gestione e i deployment delle istanze EC2 per mezzo di workload Chef e Puppet.
Scopri come sfruttare AWS OpsWork a garanzia e affidabilità del tuo applicativo installato su Instanze EC2.
Microsoft Active Directory su AWS per supportare i tuoi Windows WorkloadsAmazon Web Services
Vuoi conoscere le opzioni per eseguire Microsoft Active Directory su AWS? Quando si spostano carichi di lavoro Microsoft in AWS, è importante considerare come distribuire Microsoft Active Directory per supportare la gestione, l'autenticazione e l'autorizzazione dei criteri di gruppo. In questa sessione, discuteremo le opzioni per la distribuzione di Microsoft Active Directory su AWS, incluso AWS Directory Service per Microsoft Active Directory e la distribuzione di Active Directory su Windows su Amazon Elastic Compute Cloud (Amazon EC2). Trattiamo argomenti quali l'integrazione del tuo ambiente Microsoft Active Directory locale nel cloud e l'utilizzo di applicazioni SaaS, come Office 365, con AWS Single Sign-On.
Dal riconoscimento facciale al riconoscimento di frodi o difetti di fabbricazione, l'analisi di immagini e video che sfruttano tecniche di intelligenza artificiale, si stanno evolvendo e raffinando a ritmi elevati. In questo webinar esploreremo le possibilità messe a disposizione dai servizi AWS per applicare lo stato dell'arte delle tecniche di computer vision a scenari reali.
Amazon Web Services e VMware organizzano un evento virtuale gratuito il prossimo mercoledì 14 Ottobre dalle 12:00 alle 13:00 dedicato a VMware Cloud ™ on AWS, il servizio on demand che consente di eseguire applicazioni in ambienti cloud basati su VMware vSphere® e di accedere ad una vasta gamma di servizi AWS, sfruttando a pieno le potenzialità del cloud AWS e tutelando gli investimenti VMware esistenti.
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
Crea la tua prima serverless ledger-based app con QLDB e NodeJSAmazon Web Services
Molte aziende oggi, costruiscono applicazioni con funzionalità di tipo ledger ad esempio per verificare lo storico di accrediti o addebiti nelle transazioni bancarie o ancora per tenere traccia del flusso supply chain dei propri prodotti.
Alla base di queste soluzioni ci sono i database ledger che permettono di avere un log delle transazioni trasparente, immutabile e crittograficamente verificabile, ma sono strumenti complessi e onerosi da gestire.
Amazon QLDB elimina la necessità di costruire sistemi personalizzati e complessi fornendo un database ledger serverless completamente gestito.
In questa sessione scopriremo come realizzare un'applicazione serverless completa che utilizzi le funzionalità di QLDB.
Con l’ascesa delle architetture di microservizi e delle ricche applicazioni mobili e Web, le API sono più importanti che mai per offrire agli utenti finali una user experience eccezionale. In questa sessione impareremo come affrontare le moderne sfide di progettazione delle API con GraphQL, un linguaggio di query API open source utilizzato da Facebook, Amazon e altro e come utilizzare AWS AppSync, un servizio GraphQL serverless gestito su AWS. Approfondiremo diversi scenari, comprendendo come AppSync può aiutare a risolvere questi casi d’uso creando API moderne con funzionalità di aggiornamento dati in tempo reale e offline.
Inoltre, impareremo come Sky Italia utilizza AWS AppSync per fornire aggiornamenti sportivi in tempo reale agli utenti del proprio portale web.
Database Oracle e VMware Cloud™ on AWS: i miti da sfatareAmazon Web Services
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
In queste slide, gli esperti AWS e VMware presentano semplici e pratici accorgimenti per facilitare e semplificare la migrazione dei carichi di lavoro Oracle accelerando la trasformazione verso il cloud, approfondiranno l’architettura e dimostreranno come sfruttare a pieno le potenzialità di VMware Cloud ™ on AWS.
1) The document discusses building a minimum viable product (MVP) using Amazon Web Services (AWS).
2) It provides an example of an MVP for an omni-channel messenger platform that was built from 2017 to connect ecommerce stores to customers via web chat, Facebook Messenger, WhatsApp, and other channels.
3) The founder discusses how they started with an MVP in 2017 with 200 ecommerce stores in Hong Kong and Taiwan, and have since expanded to over 5000 clients across Southeast Asia using AWS for scaling.
This document discusses pitch decks and fundraising materials. It explains that venture capitalists will typically spend only 3 minutes and 44 seconds reviewing a pitch deck. Therefore, the deck needs to tell a compelling story to grab their attention. It also provides tips on tailoring different types of decks for different purposes, such as creating a concise 1-2 page teaser, a presentation deck for pitching in-person, and a more detailed read-only or fundraising deck. The document stresses the importance of including key information like the problem, solution, product, traction, market size, plans, team, and ask.
This document discusses building serverless web applications using AWS services like API Gateway, Lambda, DynamoDB, S3 and Amplify. It provides an overview of each service and how they can work together to create a scalable, secure and cost-effective serverless application stack without having to manage servers or infrastructure. Key services covered include API Gateway for hosting APIs, Lambda for backend logic, DynamoDB for database needs, S3 for static content, and Amplify for frontend hosting and continuous deployment.
This document provides tips for fundraising from startup founders Roland Yau and Sze Lok Chan. It discusses generating competition to create urgency for investors, fundraising in parallel rather than sequentially, having a clear fundraising narrative focused on what you do and why it's compelling, and prioritizing relationships with people over firms. It also notes how the pandemic has changed fundraising, with examples of deals done virtually during this time. The tips emphasize being fully prepared before fundraising and cultivating connections with investors in advance.
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...Amazon Web Services
This document discusses Amazon's machine learning services for building conversational interfaces and extracting insights from unstructured text and audio. It describes Amazon Lex for creating chatbots, Amazon Comprehend for natural language processing tasks like entity extraction and sentiment analysis, and how they can be used together for applications like intelligent call centers and content analysis. Pre-trained APIs simplify adding machine learning to apps without requiring ML expertise.
Amazon Elastic Container Service (Amazon ECS) è un servizio di gestione dei container altamente scalabile, che semplifica la gestione dei contenitori Docker attraverso un layer di orchestrazione per il controllo del deployment e del relativo lifecycle. In questa sessione presenteremo le principali caratteristiche del servizio, le architetture di riferimento per i differenti carichi di lavoro e i semplici passi necessari per poter velocemente migrare uno o più dei tuo container.