Amazon Aurora is a fully managed MySQL and PostgreSQL-compatible relational database with the speed, reliability, and availability of commercial databases at one-tenth the cost. It is up to five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases. This session provides an overview of Aurora, explores recently announced features, such as serverless, multi-master, and performance insights, and helps you get started.
Introduction to the Well-Architected Framework and Tool - SVC212 - Santa Clar...Amazon Web Services
Most modern businesses depend on a portfolio of technology solutions to operate and be successful every day. How do you know whether your team is following best practices or the risks in your architectures? This session shows how the AWS Well-Architected Framework provides prescriptive advice on best practices and how the AWS Well-Architected Tool enables you to measure and improve your technology portfolio. We explain how other customers are using AWS Well-Architected in their businesses, and we share what we learned from reviewing tens of thousands of architectures across operational excellence, security, reliability, performance efficiency, and cost optimization.
Discuss data migration with AWS experts - STG304 - Santa Clara AWS SummitAmazon Web Services
AWS offers a variety of data migration services and tools to help you move everything from gigabytes to petabytes of data using your networks, our networks, the mail, or even a tractor-trailer. We briefly cover a few key data migration services, including the AWS Snow family and AWS DataSync. We then engage in an interactive discussion about specific customer use cases to help you understand which technology is best for your needs. Come and join the discussion.
A culture of rapid innovation with DevOps, microservices, & serverless - MAD2...Amazon Web Services
Join David Richardson, VP of Serverless, and learn how you can apply DevOps, microservices, and serverless to innovate faster at scale. Discover how we got to over sixty million deployments per year, and benefit from the lessons we learned while building modern apps for Amazon. We cover the transition from a monolithic application to event-driven serverless microservices and dive into the reasons why more and more customers choose the serverless operational model. We describe how this works in practice by leveraging AWS Lambda, AWS Step Functions, AWS Fargate, Amazon API Gateway, Amazon SNS, Amazon SQS, and the entire serverless portfolio.
Get hands-on with AWS DeepRacer and compete in the AWS DeepRacer League - AIM...Amazon Web Services
Get behind your keyboard for an immersive experience with AWS DeepRacer and reinforcement learning. In this workshop, developers with no prior machine-learning experience can acquire new skills and apply their knowledge in a fun and exciting way. Join a pit crew and build and train ML models that you can take to the track for a chance to climb the AWS DeepRacer League leaderboard. Start your engines—the race is on! Bring your laptop.
Add intelligence to applications - AIM205 - Santa Clara AWS Summit.pdfAmazon Web Services
AI has already been integrated into many use cases, but we’ve just scratched the surface of what’s possible. In this session, we cover how to use the AWS AI services to tackle three use cases that can deliver immediate value: 1) “voice of the customer” analytics to better understand what your customers are thinking and saying, 2) document analysis and processing to move beyond the limitations of traditional OCR, and 3) chatbots to improve in-app customer service and customer contact center experiences. We also discuss how to use AI in use cases within the Media, Healthcare, and Financial Services industries.
Accelerating product development with high performance computing - CMP301 - S...Amazon Web Services
By moving complex simulation workloads to AWS, engineering firms can take advantage of the virtually unlimited scale that AWS offers to accelerate their time to results. High performance computing (HPC) on AWS offers engineers a much wider variety of hardware instances than would be possible to support on premises, enabling easy and instant access to the right hardware configuration for any application. In this tech talk, we discuss best practices for running design and engineering applications like CFD and FEA on AWS—including recommendations on selecting the right EC2 instances and storage options based on the HPC application type.
AWS Summit Milano 2019 - Sicurezza in AWS automazione e best practice - Antonio Duma, Solutions Architect, AWS | Carmela Gambardella, Solutions Architect AWS
Increase the value of video using ML and AWS media services - SVC301 - Santa ...Amazon Web Services
With the advancement of machine learning applications, new business opportunities are rapidly emerging in media. In this session, learn how the AWS Media2Cloud solution can save time and reduce costs through setting up a serverless end-to-end ingest workflow to move your video assets and associated metadata to the cloud. Gain insight into how to make those assets even more valuable by enabling searching and indexing on your video library, and learn how to use Amazon Transcribe and Amazon Translate to take your live-streaming workflows to the next level with expert instruction on how to enable automatically created multi-language subtitles.
Introduction to the Well-Architected Framework and Tool - SVC212 - Santa Clar...Amazon Web Services
Most modern businesses depend on a portfolio of technology solutions to operate and be successful every day. How do you know whether your team is following best practices or the risks in your architectures? This session shows how the AWS Well-Architected Framework provides prescriptive advice on best practices and how the AWS Well-Architected Tool enables you to measure and improve your technology portfolio. We explain how other customers are using AWS Well-Architected in their businesses, and we share what we learned from reviewing tens of thousands of architectures across operational excellence, security, reliability, performance efficiency, and cost optimization.
Discuss data migration with AWS experts - STG304 - Santa Clara AWS SummitAmazon Web Services
AWS offers a variety of data migration services and tools to help you move everything from gigabytes to petabytes of data using your networks, our networks, the mail, or even a tractor-trailer. We briefly cover a few key data migration services, including the AWS Snow family and AWS DataSync. We then engage in an interactive discussion about specific customer use cases to help you understand which technology is best for your needs. Come and join the discussion.
A culture of rapid innovation with DevOps, microservices, & serverless - MAD2...Amazon Web Services
Join David Richardson, VP of Serverless, and learn how you can apply DevOps, microservices, and serverless to innovate faster at scale. Discover how we got to over sixty million deployments per year, and benefit from the lessons we learned while building modern apps for Amazon. We cover the transition from a monolithic application to event-driven serverless microservices and dive into the reasons why more and more customers choose the serverless operational model. We describe how this works in practice by leveraging AWS Lambda, AWS Step Functions, AWS Fargate, Amazon API Gateway, Amazon SNS, Amazon SQS, and the entire serverless portfolio.
Get hands-on with AWS DeepRacer and compete in the AWS DeepRacer League - AIM...Amazon Web Services
Get behind your keyboard for an immersive experience with AWS DeepRacer and reinforcement learning. In this workshop, developers with no prior machine-learning experience can acquire new skills and apply their knowledge in a fun and exciting way. Join a pit crew and build and train ML models that you can take to the track for a chance to climb the AWS DeepRacer League leaderboard. Start your engines—the race is on! Bring your laptop.
Add intelligence to applications - AIM205 - Santa Clara AWS Summit.pdfAmazon Web Services
AI has already been integrated into many use cases, but we’ve just scratched the surface of what’s possible. In this session, we cover how to use the AWS AI services to tackle three use cases that can deliver immediate value: 1) “voice of the customer” analytics to better understand what your customers are thinking and saying, 2) document analysis and processing to move beyond the limitations of traditional OCR, and 3) chatbots to improve in-app customer service and customer contact center experiences. We also discuss how to use AI in use cases within the Media, Healthcare, and Financial Services industries.
Accelerating product development with high performance computing - CMP301 - S...Amazon Web Services
By moving complex simulation workloads to AWS, engineering firms can take advantage of the virtually unlimited scale that AWS offers to accelerate their time to results. High performance computing (HPC) on AWS offers engineers a much wider variety of hardware instances than would be possible to support on premises, enabling easy and instant access to the right hardware configuration for any application. In this tech talk, we discuss best practices for running design and engineering applications like CFD and FEA on AWS—including recommendations on selecting the right EC2 instances and storage options based on the HPC application type.
AWS Summit Milano 2019 - Sicurezza in AWS automazione e best practice - Antonio Duma, Solutions Architect, AWS | Carmela Gambardella, Solutions Architect AWS
Increase the value of video using ML and AWS media services - SVC301 - Santa ...Amazon Web Services
With the advancement of machine learning applications, new business opportunities are rapidly emerging in media. In this session, learn how the AWS Media2Cloud solution can save time and reduce costs through setting up a serverless end-to-end ingest workflow to move your video assets and associated metadata to the cloud. Gain insight into how to make those assets even more valuable by enabling searching and indexing on your video library, and learn how to use Amazon Transcribe and Amazon Translate to take your live-streaming workflows to the next level with expert instruction on how to enable automatically created multi-language subtitles.
Introducing AWS App Mesh - MAD303 - Santa Clara AWS SummitAmazon Web Services
In this session, learn how AWS App Mesh makes it easy to monitor and control microservices running on AWS. App Mesh standardizes how the microservices communicate, giving end-to-end visibility and helping ensure high availability for your applications.
The Zen of governance - Establish guardrails and empower builders - SVC201 - ...Amazon Web Services
IT organizations often see governance control and innovation as competing priorities. Compliance-minded individuals may view rapid innovation as disruptive to the security, health, and stability of their organizations. Innovation-minded individuals may view governance control as inhibiting growth. With AWS, you don’t have to choose between governance control and growth—you can have both. In this session, we provide an overview of the common challenges in this area and share how to use AWS services to solve them. We explain how to establish guardrails to improve security and compliance while empowering builders to speed innovation.
Building home security solutions at scale, ft. Comcast - SVC206 - New York AW...Amazon Web Services
IoT applications are rapidly becoming more intelligent, especially when it comes to home security solutions such as entry sensors, motion detectors, home automation, and video monitoring. Combine IoT with serverless video streaming, analysis, and playback, and you have a powerful solution at a scale and price that make business sense. In this session, learn how to build intelligent home security applications using Amazon Kinesis Video Streams and AWS IoT services. We are joined by a representative from Comcast, which migrated to AWS to power their Xfinity Home security cameras and focus on secure storage of video data from customers worldwide.
Next generation intelligent data lakes, powered by GraphQL & AWS AppSync - MA...Amazon Web Services
GraphQL is a query language for APIs and a runtime to fulfill these queries, allowing applications to easily connect and access data stored on any type of database technology or API. AWS AppSync provides a powerful and flexible serverless GraphQL API that securely accesses, manipulates, and combines data from multiple sources at any scale, enabling you to build any kind of application on a range of data sources independently of the underlying database technology. In this session, we discuss different use cases where AWS AppSync and GraphQL power next-generation applications. Special guest, Candid Partners, shares how it uses AWS AppSync in its Data Fabric solution to simplify large-scale data management using a GraphQL API to interact with data lakes.
IoT transformation begins at home, but how can you get started quickly? Voice is a natural interface to interact not just with the world around us but also with physical assets and things, such as connected home devices like lights, thermostats, or TVs. In this session, we discuss how you can connect and control devices in your home using AWS IoT services and the Alexa Skills Kit. By the end of the session, you’ll have a set of best practices for how to build IoT products in the connected home.
[REPEAT] Optimize your workloads with Amazon EC2 & AMD EPYC - DEM01-R - Santa...Amazon Web Services
Customers are always looking to optimize the performance of their workloads while lowering their cost. With new Amazon EC2 instances powered by AMD EPYC processors, customer can do just that. Join AMD and AWS as they jointly showcase how AMD-powered M5a, R5a, and T3a EC2 instances can save you 10% on infrastructure costs for right-sized workloads. Discover the benefits, use cases, and customer successes of these new instances.
What's New with Amazon S3, Amazon EFS, and Other AWS Storage Services - STG20...Amazon Web Services
AWS provides storage services that fit any workload or application. In this session, we discuss each of the latest developments in Amazon S3, Amazon S3 Glacier, Amazon EBS, Amazon EFS, Amazon FSx for Windows File Server, Amazon FSx for Lustre, AWS Storage Gateway, the AWS Snow family, AWS Transfer for SFTP, and AWS DataSync. We also examine which workloads and applications are best suited to each storage service.
Building enterprise solutions with blockchain technology - SVC217 - New York ...Amazon Web Services
Blockchain technology is evolving rapidly. Are you ready to take advantage of blockchain’s use cases for the enterprise? In this session, learn about blockchain and its enterprise use cases, how AWS views blockchain technology, and learn about our services and about the features of our new managed blockchain service, Amazon Managed Blockchain, which makes it easy to build and manage scalable Hyperledger Fabric networks on AWS.
Build accurate training data sets with Amazon SageMaker Ground Truth - AIM302...Amazon Web Services
Successful machine learning (ML) models are built on high-quality training datasets. However, it is often expensive, complicated, and time-consuming to create the training data necessary to build these models. Amazon SageMaker Ground Truth helps you quickly build highly accurate training datasets for ML. SageMaker Ground Truth offers easy access to public and private human labelers, providing them with built-in workflows and interfaces for common labeling tasks. Additionally, SageMaker Ground Truth uses automatic labeling, lowering your labeling costs by up to 70%. In this chalk talk, we dive deep into using SageMaker Ground Truth to build high-quality training datasets.
Introduction to the Well-Architected Framework and Tool - SVC208 - Anaheim AW...Amazon Web Services
Most modern businesses depend on a portfolio of technology solutions to operate and be successful every day. How do you know whether your team is following best practices or what the risks are in your architectures? This session shows how the AWS Well-Architected Framework provides prescriptive advice on best practices and how the AWS Well-Architected Tool enables you to measure and improve your technology portfolio. We explain how other customers are using AWS Well-Architected in their businesses, and we share what we learned from reviewing tens of thousands of architectures across operational excellence, security, reliability, performance efficiency, and cost optimization.
Grid computing in the cloud for Financial Services industry - CMP205-I - New ...Amazon Web Services
In this session, we discuss the current challenges facing customers who want to enable their high performance computing (HPC) and machine learning workloads for the cloud, and we compare how the different cloud services being developed meet these challenges. We share real-world examples to show the value that the cloud brings to HPC for such areas as risk management and catastrophe planning.
Build intelligent applications quickly with AWS AI services - AIM301 - New Yo...Amazon Web Services
How do you build AI applications without machine learning skills? In this workshop, you get hands-on experience using AI tools for text-to-speech, translation, natural language processing, and personalization. You also learn some practical ways to integrate these AI capabilities into common use cases, such as contact center speech analytics, social media analytics, and personalized recommendations. To participate in this workshop, you must have an AWS account. We provide you with credits.
Optimize data lakes with Amazon S3 - STG302 - Santa Clara AWS SummitAmazon Web Services
In this session, AWS experts dive into the benefits of Amazon S3 that customers are leveraging to build and manage their data lakes in the AWS Cloud. Learn about the Amazon S3 integrations with the AWS analytics suite and Amazon FSx for Lustre. Learn how to seamlessly run big data analytics, high performance computing applications, machine learning training models, and media data processing workloads across your Amazon S3 data lakes. We also cover the range of features that enable you to manage data with object-level granularity, configure and enforce finely tuned access policies, make changes to billions of objects with just a few clicks, enable cost efficiencies with the S3 storage classes, and audit and report on your data and Amazon S3 activities across your entire data lake.
Fraud detection using machine learning with Amazon SageMaker - AIM306 - New Y...Amazon Web Services
Fraud is a serious problem that can cost businesses billions of dollars annually and damage customer trust. Machine learning (ML) can provide flexible approach to fraud detection. ML models do not use pre-defined rules to determine whether activity is fraudulent. Instead, they are trained to recognize fraud patterns in datasets, and the models are self-learning, which enables them to adapt to new, unknown fraud patterns. In this session, we dive deep into a solution that automates the detection of potentially fraudulent activity and flags that activity for review. We discuss the architecture of the solution using Amazon SageMaker and other AWS services to provide an easy-to-deploy, end-to-end solution for fraud detection.
Using ML to detect and prevent fraud without compromising user experience - F...Amazon Web Services
Based on NuData Security’s experience analyzing internet traffic, the company estimates that more than half is fake, which translates into significant fraudulent activity around login and authentication. Unfortunately, conventional username/password-based authentication is unreliable, and multifactor authentication adds user friction. Is there a way to solve account takeover, automated attacks, and known-user recognition without compromising user experience? NuData has taken a cloud-native approach to detecting identity threats and preventing fraud. Learn how the company built an AI/ML-powered platform that enables rapid response to an ever-changing attack landscape and accelerates innovation to crush attack vectors at any scale.
Data modeling with Amazon DynamoDB - ADB301 - New York AWS SummitAmazon Web Services
Amazon DynamoDB is a fully managed NoSQL database that provides fast, consistent performance as it scales. Modeling your data in the DynamoDB database structure requires a different approach from modeling in traditional relational databases. In this session, we review the key principles for modeling your DynamoDB tables and also teach you some practical patterns to use in your data models.
Introduction to EC2 A1 instances, powered by the AWS Graviton processor - CMP...Amazon Web Services
Amazon EC2 A1 instances are the first EC2 instances powered by Arm-based AWS Graviton processors. They deliver significant cost savings for scale-out and Arm-based applications, such as web servers, containerized microservices, caching fleets, and distributed data stores that are supported by the extensive Arm ecosystem. In this chalk talk, learn about EC2 A1 instances, understand the use cases, and watch demonstrations of how easy it can be to migrate and run your workloads on EC2 A1. Discussion and questions are encouraged.
Amazon Elastic Compute Cloud (Amazon EC2) offers a variety of compute instances and fits a wide variety of use cases, from static websites to high-performance supercomputing on demand. In this session, we review Amazon EC2 and explore its latest features, including new instance families and how to export Amazon Lightsail instances and volumes to Amazon EC2. We explain differences between hardware types and capabilities, optimal use cases, using Amazon EC2 Amazon EBS for high performance, and scalable storage attached to your instances for relational and nonrelational databases. We also cover best practices for optimizing Amazon EC2 for your business.
What's New in Amazon Aurora - ADB203 - Anaheim AWS SummitAmazon Web Services
Amazon Aurora is a fully managed MySQL and PostgreSQL-compatible relational database with the speed, reliability, and availability of commercial databases at one-tenth the cost. It is up to five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases. This session provides an overview of Aurora, explores recently announced features, such as serverless, multi-master, and performance insights, and helps you get started.
What's new in Amazon Aurora - ADB203 - Atlanta AWS SummitAmazon Web Services
Amazon Aurora is a fully managed MySQL and PostgreSQL-compatible relational database with the speed, reliability, and availability of commercial databases at one-tenth the cost. It is up to five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases. This session provides an overview of Aurora, explores recently announced features, such as serverless, multi-master, and performance insights, and helps you get started.
Introducing AWS App Mesh - MAD303 - Santa Clara AWS SummitAmazon Web Services
In this session, learn how AWS App Mesh makes it easy to monitor and control microservices running on AWS. App Mesh standardizes how the microservices communicate, giving end-to-end visibility and helping ensure high availability for your applications.
The Zen of governance - Establish guardrails and empower builders - SVC201 - ...Amazon Web Services
IT organizations often see governance control and innovation as competing priorities. Compliance-minded individuals may view rapid innovation as disruptive to the security, health, and stability of their organizations. Innovation-minded individuals may view governance control as inhibiting growth. With AWS, you don’t have to choose between governance control and growth—you can have both. In this session, we provide an overview of the common challenges in this area and share how to use AWS services to solve them. We explain how to establish guardrails to improve security and compliance while empowering builders to speed innovation.
Building home security solutions at scale, ft. Comcast - SVC206 - New York AW...Amazon Web Services
IoT applications are rapidly becoming more intelligent, especially when it comes to home security solutions such as entry sensors, motion detectors, home automation, and video monitoring. Combine IoT with serverless video streaming, analysis, and playback, and you have a powerful solution at a scale and price that make business sense. In this session, learn how to build intelligent home security applications using Amazon Kinesis Video Streams and AWS IoT services. We are joined by a representative from Comcast, which migrated to AWS to power their Xfinity Home security cameras and focus on secure storage of video data from customers worldwide.
Next generation intelligent data lakes, powered by GraphQL & AWS AppSync - MA...Amazon Web Services
GraphQL is a query language for APIs and a runtime to fulfill these queries, allowing applications to easily connect and access data stored on any type of database technology or API. AWS AppSync provides a powerful and flexible serverless GraphQL API that securely accesses, manipulates, and combines data from multiple sources at any scale, enabling you to build any kind of application on a range of data sources independently of the underlying database technology. In this session, we discuss different use cases where AWS AppSync and GraphQL power next-generation applications. Special guest, Candid Partners, shares how it uses AWS AppSync in its Data Fabric solution to simplify large-scale data management using a GraphQL API to interact with data lakes.
IoT transformation begins at home, but how can you get started quickly? Voice is a natural interface to interact not just with the world around us but also with physical assets and things, such as connected home devices like lights, thermostats, or TVs. In this session, we discuss how you can connect and control devices in your home using AWS IoT services and the Alexa Skills Kit. By the end of the session, you’ll have a set of best practices for how to build IoT products in the connected home.
[REPEAT] Optimize your workloads with Amazon EC2 & AMD EPYC - DEM01-R - Santa...Amazon Web Services
Customers are always looking to optimize the performance of their workloads while lowering their cost. With new Amazon EC2 instances powered by AMD EPYC processors, customer can do just that. Join AMD and AWS as they jointly showcase how AMD-powered M5a, R5a, and T3a EC2 instances can save you 10% on infrastructure costs for right-sized workloads. Discover the benefits, use cases, and customer successes of these new instances.
What's New with Amazon S3, Amazon EFS, and Other AWS Storage Services - STG20...Amazon Web Services
AWS provides storage services that fit any workload or application. In this session, we discuss each of the latest developments in Amazon S3, Amazon S3 Glacier, Amazon EBS, Amazon EFS, Amazon FSx for Windows File Server, Amazon FSx for Lustre, AWS Storage Gateway, the AWS Snow family, AWS Transfer for SFTP, and AWS DataSync. We also examine which workloads and applications are best suited to each storage service.
Building enterprise solutions with blockchain technology - SVC217 - New York ...Amazon Web Services
Blockchain technology is evolving rapidly. Are you ready to take advantage of blockchain’s use cases for the enterprise? In this session, learn about blockchain and its enterprise use cases, how AWS views blockchain technology, and learn about our services and about the features of our new managed blockchain service, Amazon Managed Blockchain, which makes it easy to build and manage scalable Hyperledger Fabric networks on AWS.
Build accurate training data sets with Amazon SageMaker Ground Truth - AIM302...Amazon Web Services
Successful machine learning (ML) models are built on high-quality training datasets. However, it is often expensive, complicated, and time-consuming to create the training data necessary to build these models. Amazon SageMaker Ground Truth helps you quickly build highly accurate training datasets for ML. SageMaker Ground Truth offers easy access to public and private human labelers, providing them with built-in workflows and interfaces for common labeling tasks. Additionally, SageMaker Ground Truth uses automatic labeling, lowering your labeling costs by up to 70%. In this chalk talk, we dive deep into using SageMaker Ground Truth to build high-quality training datasets.
Introduction to the Well-Architected Framework and Tool - SVC208 - Anaheim AW...Amazon Web Services
Most modern businesses depend on a portfolio of technology solutions to operate and be successful every day. How do you know whether your team is following best practices or what the risks are in your architectures? This session shows how the AWS Well-Architected Framework provides prescriptive advice on best practices and how the AWS Well-Architected Tool enables you to measure and improve your technology portfolio. We explain how other customers are using AWS Well-Architected in their businesses, and we share what we learned from reviewing tens of thousands of architectures across operational excellence, security, reliability, performance efficiency, and cost optimization.
Grid computing in the cloud for Financial Services industry - CMP205-I - New ...Amazon Web Services
In this session, we discuss the current challenges facing customers who want to enable their high performance computing (HPC) and machine learning workloads for the cloud, and we compare how the different cloud services being developed meet these challenges. We share real-world examples to show the value that the cloud brings to HPC for such areas as risk management and catastrophe planning.
Build intelligent applications quickly with AWS AI services - AIM301 - New Yo...Amazon Web Services
How do you build AI applications without machine learning skills? In this workshop, you get hands-on experience using AI tools for text-to-speech, translation, natural language processing, and personalization. You also learn some practical ways to integrate these AI capabilities into common use cases, such as contact center speech analytics, social media analytics, and personalized recommendations. To participate in this workshop, you must have an AWS account. We provide you with credits.
Optimize data lakes with Amazon S3 - STG302 - Santa Clara AWS SummitAmazon Web Services
In this session, AWS experts dive into the benefits of Amazon S3 that customers are leveraging to build and manage their data lakes in the AWS Cloud. Learn about the Amazon S3 integrations with the AWS analytics suite and Amazon FSx for Lustre. Learn how to seamlessly run big data analytics, high performance computing applications, machine learning training models, and media data processing workloads across your Amazon S3 data lakes. We also cover the range of features that enable you to manage data with object-level granularity, configure and enforce finely tuned access policies, make changes to billions of objects with just a few clicks, enable cost efficiencies with the S3 storage classes, and audit and report on your data and Amazon S3 activities across your entire data lake.
Fraud detection using machine learning with Amazon SageMaker - AIM306 - New Y...Amazon Web Services
Fraud is a serious problem that can cost businesses billions of dollars annually and damage customer trust. Machine learning (ML) can provide flexible approach to fraud detection. ML models do not use pre-defined rules to determine whether activity is fraudulent. Instead, they are trained to recognize fraud patterns in datasets, and the models are self-learning, which enables them to adapt to new, unknown fraud patterns. In this session, we dive deep into a solution that automates the detection of potentially fraudulent activity and flags that activity for review. We discuss the architecture of the solution using Amazon SageMaker and other AWS services to provide an easy-to-deploy, end-to-end solution for fraud detection.
Using ML to detect and prevent fraud without compromising user experience - F...Amazon Web Services
Based on NuData Security’s experience analyzing internet traffic, the company estimates that more than half is fake, which translates into significant fraudulent activity around login and authentication. Unfortunately, conventional username/password-based authentication is unreliable, and multifactor authentication adds user friction. Is there a way to solve account takeover, automated attacks, and known-user recognition without compromising user experience? NuData has taken a cloud-native approach to detecting identity threats and preventing fraud. Learn how the company built an AI/ML-powered platform that enables rapid response to an ever-changing attack landscape and accelerates innovation to crush attack vectors at any scale.
Data modeling with Amazon DynamoDB - ADB301 - New York AWS SummitAmazon Web Services
Amazon DynamoDB is a fully managed NoSQL database that provides fast, consistent performance as it scales. Modeling your data in the DynamoDB database structure requires a different approach from modeling in traditional relational databases. In this session, we review the key principles for modeling your DynamoDB tables and also teach you some practical patterns to use in your data models.
Introduction to EC2 A1 instances, powered by the AWS Graviton processor - CMP...Amazon Web Services
Amazon EC2 A1 instances are the first EC2 instances powered by Arm-based AWS Graviton processors. They deliver significant cost savings for scale-out and Arm-based applications, such as web servers, containerized microservices, caching fleets, and distributed data stores that are supported by the extensive Arm ecosystem. In this chalk talk, learn about EC2 A1 instances, understand the use cases, and watch demonstrations of how easy it can be to migrate and run your workloads on EC2 A1. Discussion and questions are encouraged.
Amazon Elastic Compute Cloud (Amazon EC2) offers a variety of compute instances and fits a wide variety of use cases, from static websites to high-performance supercomputing on demand. In this session, we review Amazon EC2 and explore its latest features, including new instance families and how to export Amazon Lightsail instances and volumes to Amazon EC2. We explain differences between hardware types and capabilities, optimal use cases, using Amazon EC2 Amazon EBS for high performance, and scalable storage attached to your instances for relational and nonrelational databases. We also cover best practices for optimizing Amazon EC2 for your business.
What's New in Amazon Aurora - ADB203 - Anaheim AWS SummitAmazon Web Services
Amazon Aurora is a fully managed MySQL and PostgreSQL-compatible relational database with the speed, reliability, and availability of commercial databases at one-tenth the cost. It is up to five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases. This session provides an overview of Aurora, explores recently announced features, such as serverless, multi-master, and performance insights, and helps you get started.
What's new in Amazon Aurora - ADB203 - Atlanta AWS SummitAmazon Web Services
Amazon Aurora is a fully managed MySQL and PostgreSQL-compatible relational database with the speed, reliability, and availability of commercial databases at one-tenth the cost. It is up to five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases. This session provides an overview of Aurora, explores recently announced features, such as serverless, multi-master, and performance insights, and helps you get started.
Build scalable applications with a serverless relational database - ADB211 - ...Amazon Web Services
Amazon Aurora Serverless is an on-demand, autoscaling configuration for Amazon Aurora that enables the database to automatically start, shut down, and scale up or down based on your application's needs. With it, you can run your database in the cloud without having to manage any database instances, making Amazon Aurora Serverless a simple, easy-to-manage, scalable, and cost-effective option for infrequent, intermittent, or unpredictable workloads. In this session, we explore use cases, examine the underlying mechanisms, and discuss the future of serverless databases.
All Databases Are Equal, But Some Databases Are More Equal than Others: How t...javier ramirez
Data comes in different shapes and sizes, at different speeds, and with different processing needs. AWS offers managed databases covering SQL, NoSQL, in-memory, graphs, time series, and ledger databases. Learn which are the main use cases for each of those, which ones offer autoscaling or serverless capabilities, how you can start from scratch or via database migration services, and why Amazon Aurora is the fastest-growing service in the history of AWS.
Migrate your Oracle and SQL Server databases to Amazon RDS - ADB210 - New Yor...Amazon Web Services
Learn how Amazon RDS helps Oracle and SQL Server DBAs focus their time where it matters most. We cover the service’s features and discuss the key differences between running deployments on Amazon EC2 and Amazon RDS.
AWS delivers an integrated suite of services that provide everything needed to quickly and easily build and manage a data lake for analytics. AWS-powered data lakes can handle the scale, agility, and flexibility required to combine different types of data and analytics approaches to gain deeper insights, in ways that traditional data silos and data warehouses cannot. In this session, we will show you how you can quickly build a data lake on AWS that ingests, catalogs and processes incoming data and makes it ready for analysis. Using a live demo, we demonstrate the capabilities of AWS provided analytical services such as AWS Glue, Amazon Athena and Amazon EMR and how to build a Data Lake on AWS step-by-step.
Best Practices for Migrating Databases to the Cloud - AWS Summit SydneyAmazon Web Services
Database migration is a complex, multiphase process, which usually includes assessment, database schema conversion (if you are changing engines), script conversion, data migration, functional testing, performance tuning, and many other steps. The AWS Database Migration Service and AWS Schema Conversion Tool help lower costs, risks, and the duration of your database migration and data replication projects but, how do you use them to maximum effect? This session aims to show you.
In this session, we show you how to understand what data you have, how to drive insights, and how to make predictions using purpose-built AWS services. Learn about the common pitfalls of building data lakes and discover how to successfully drive analytics and insights from your data. Also learn how services such as Amazon S3, AWS Glue, Amazon Redshift, Amazon Athena, Amazon EMR, Amazon Kinesis, and Amazon Machine Learning (Amazon ML) services work together to build a successful data lake for various roles, including data scientists and business users.
Amazon Relational Database Service (RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient, resizable capacity while automating time-consuming tasks such as hardware provisioning, database setup, patching, and backups. There are multiple database engines to choose from, including Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle, and Microsoft SQL Server. Amazon Aurora is a relational database engine that combines the speed and reliability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. It is designed to be compatible with MySQL and PostgreSQL so that existing applications and tools can run without modification.
Building Data Lakes for Analytics on AWS - ADB201 - Anaheim AWS SummitAmazon Web Services
AWS provides the most comprehensive, secure, scalable, and cost-effective portfolio of services for building data lakes for analytics. In this session, learn how to discover, load, store, catalog, prepare, and secure your data in a data lake. Then, learn to analyze with the largest choice of analytics approaches, including big data, data warehouse, operational, real-time streaming analytics, and even ML and AI. Ensure that your needs are met for existing and future analytics use cases, and discover how leading companies found success with their data lake initiatives.
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.
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.