For the Enterprise, Artificial Intelligence (AI) materializes into solutions that improve customers' experiences by optimizing, automating, and personalizing high-volume tasks while lowering cost and time to market, therefore accelerating innovation. Augmented Reality (AR) and Virtual Reality (VR) based solutions offer a promising future in the enterprise allowing engagement with data in innovative ways. In this session, we take a look at how AWS is democratizing AI, AR and VR to enable innovation in the enterprise by building applications quickly and easily without requiring specialized programming.
How Different Large Organizations are Approaching Cloud AdoptionAmazon Web Services
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The implementation of highly scalable, easy-to-deploy technology is transforming enterprises, but itâs not a one-size-fits-all approach. Organizations begin their cloud adoption journeys in many ways. Some start with pilot projects and others jump into mission-critical programs, but they are all starting with an existing infrastructure. Adopting cloud doesnât mean scrapping it all and starting over. This session explores how organizations are using cloud while building on their existing technology and lessons theyâve learned along the way. In this session we will discuss when and how to leverage hybrid cloud computing to meet the needs of the enterprise. We will cover popular hybrid cloud use cases in enterprises, pillars to design a secure hybrid cloud environment and how to get started with AWS.
Real-World AI and Deep Learning for Enterprise with Case StudiesAmazon Web Services
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Artificial Intelligence is here this time, to stay. For the Enterprise, AI materializes into solutions that improve customers' experiences by optimizing, automating, and personalizing high-volume tasks while lowering cost and time to market, therefore accelerating innovation. In this session, we cover AWS' AI products and services that enable innovation in the enterprise while maintaining compliance with different regimes such as HIPAA, PCI, and more. Finally, we discuss enterprise architectures on AWS for machine learning and deep learning workloads.
Database Freedom. Database migration approaches to get to the Cloud - Marcus ...Amazon Web Services
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The document discusses database migration approaches to move to the cloud using AWS services. It covers how the database market and application architectures are changing, as well as how AWS offers database freedom and services for various database and analytics workloads. These include managed relational databases like RDS and Aurora, NoSQL databases and caches, data warehouses, analytics services, and the Database Migration Service for migrating databases to AWS.
Trends in Digital Transformation (ARC212) - AWS re:Invent 2018Amazon Web Services
Â
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 âlock in,â through a âchoosing, using, and losingâ mental model. Finally, we explore chaos architecture as an evolving method for exposing weaknesses before they become real problems.
Transform Government IT with VMware Cloud on AWS, an Integrated Hybrid SolutionAmazon Web Services
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Government agencies are increasingly turning to commercial cloud service providers for the infrastructure flexibility to achieve consolidation, application modernization, and disaster recovery goals. For government customers running vSphere workloads, VMware and AWS have teamed up to provide a hybrid-cloud solution that eliminates the complexity and intensive resource management required to adopt the cloud. VMware Cloud on AWS⢠removes traditional barriers to hybrid-cloud portability by integrating VMware Software-Defined Data Center (SDDC) technologies with AWS global infrastructure and application services. Customers can run VMware SDDC solutions on dedicated, bare-metal AWS infrastructure to create a common-cloud infrastructure, with unified deployment and operations across on-premises and public-cloud environments. Donât miss this opportunity to discover why organizations are using VMware Cloud on AWS to bring to market hybrid-cloud strategies that streamline service delivery and your ability to achieve your mission.
Tim Hearn, Director, UK Public Sector, VMWare UK; Paul Bockelman, Senior Manager, Amazon Web Services
Amazon Cloud Directory Deep Dive (DAT364) - AWS re:Invent 2018Amazon Web Services
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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. Itâs 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.
This document summarizes an AWS seminar presentation on AI and machine learning services. It discusses AWS's mission to put machine learning in the hands of every developer and data scientist. It provides an overview of AWS machine learning application services like Amazon Rekognition, Polly, Lex, and Translate. It also covers AWS machine learning platform services like Amazon SageMaker and deep learning frameworks. Finally, it discusses AWS machine learning infrastructure services like EC2 P3 instances, the Deep Learning AMI, and AWS DeepLens.
Go to Market with AWS - Kevin Park - AWS TechShift ANZ 2018Amazon Web Services
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Australian ISVs often find it challenging to move beyond organic growth into a phase of deliberate, sustained growth. Partnering with AWS can open doors and add fuel to your Go-To-Market (GTM) efforts. This session will focus on the typical challenges faced by local ISVs in their Go-To-Market efforts, and how AWS is helping them acquire customers in the global arena.
How Different Large Organizations are Approaching Cloud AdoptionAmazon Web Services
Â
The implementation of highly scalable, easy-to-deploy technology is transforming enterprises, but itâs not a one-size-fits-all approach. Organizations begin their cloud adoption journeys in many ways. Some start with pilot projects and others jump into mission-critical programs, but they are all starting with an existing infrastructure. Adopting cloud doesnât mean scrapping it all and starting over. This session explores how organizations are using cloud while building on their existing technology and lessons theyâve learned along the way. In this session we will discuss when and how to leverage hybrid cloud computing to meet the needs of the enterprise. We will cover popular hybrid cloud use cases in enterprises, pillars to design a secure hybrid cloud environment and how to get started with AWS.
Real-World AI and Deep Learning for Enterprise with Case StudiesAmazon Web Services
Â
Artificial Intelligence is here this time, to stay. For the Enterprise, AI materializes into solutions that improve customers' experiences by optimizing, automating, and personalizing high-volume tasks while lowering cost and time to market, therefore accelerating innovation. In this session, we cover AWS' AI products and services that enable innovation in the enterprise while maintaining compliance with different regimes such as HIPAA, PCI, and more. Finally, we discuss enterprise architectures on AWS for machine learning and deep learning workloads.
Database Freedom. Database migration approaches to get to the Cloud - Marcus ...Amazon Web Services
Â
The document discusses database migration approaches to move to the cloud using AWS services. It covers how the database market and application architectures are changing, as well as how AWS offers database freedom and services for various database and analytics workloads. These include managed relational databases like RDS and Aurora, NoSQL databases and caches, data warehouses, analytics services, and the Database Migration Service for migrating databases to AWS.
Trends in Digital Transformation (ARC212) - AWS re:Invent 2018Amazon Web Services
Â
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 âlock in,â through a âchoosing, using, and losingâ mental model. Finally, we explore chaos architecture as an evolving method for exposing weaknesses before they become real problems.
Transform Government IT with VMware Cloud on AWS, an Integrated Hybrid SolutionAmazon Web Services
Â
Government agencies are increasingly turning to commercial cloud service providers for the infrastructure flexibility to achieve consolidation, application modernization, and disaster recovery goals. For government customers running vSphere workloads, VMware and AWS have teamed up to provide a hybrid-cloud solution that eliminates the complexity and intensive resource management required to adopt the cloud. VMware Cloud on AWS⢠removes traditional barriers to hybrid-cloud portability by integrating VMware Software-Defined Data Center (SDDC) technologies with AWS global infrastructure and application services. Customers can run VMware SDDC solutions on dedicated, bare-metal AWS infrastructure to create a common-cloud infrastructure, with unified deployment and operations across on-premises and public-cloud environments. Donât miss this opportunity to discover why organizations are using VMware Cloud on AWS to bring to market hybrid-cloud strategies that streamline service delivery and your ability to achieve your mission.
Tim Hearn, Director, UK Public Sector, VMWare UK; Paul Bockelman, Senior Manager, Amazon Web Services
Amazon Cloud Directory Deep Dive (DAT364) - AWS re:Invent 2018Amazon Web Services
Â
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. Itâs 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.
This document summarizes an AWS seminar presentation on AI and machine learning services. It discusses AWS's mission to put machine learning in the hands of every developer and data scientist. It provides an overview of AWS machine learning application services like Amazon Rekognition, Polly, Lex, and Translate. It also covers AWS machine learning platform services like Amazon SageMaker and deep learning frameworks. Finally, it discusses AWS machine learning infrastructure services like EC2 P3 instances, the Deep Learning AMI, and AWS DeepLens.
Go to Market with AWS - Kevin Park - AWS TechShift ANZ 2018Amazon Web Services
Â
Australian ISVs often find it challenging to move beyond organic growth into a phase of deliberate, sustained growth. Partnering with AWS can open doors and add fuel to your Go-To-Market (GTM) efforts. This session will focus on the typical challenges faced by local ISVs in their Go-To-Market efforts, and how AWS is helping them acquire customers in the global arena.
Get to Know Your Customers - Build and Innovate with a Modern Data ArchitectureAmazon Web Services
Â
Your customers probably want a better experience with your brand. Your different business teams want and need better insights in their decision making. Almost certainly, your finance and operations teams require this to happen at a fraction of the cost of traditional on-premises options. Modern data architectures on AWS help many of our best customers realise all of those goals. Your business data contains critical information about customer behaviours, operational decisions, and many factors that have financial impact on your organisation. Increasingly, this data sits beyond your transactional systems, and is too big, too fast, and too complex for existing systems to handle. AWS Data and Analytics services are designed from our customers' requirements to ingest, store, analyse, and consume information at record-breaking scale. In this session you will learn how these services work together to deliver business automation, enhance customer engagement and intelligence.
Leadership Session: Overview of Amazon Digital User Engagement Solutions (DIG...Amazon Web Services
Â
This session, we describe how AWS provides the Amazon customer-centric culture of innovation, key technology building blocks, and a user engagement platform to help companies better engage their users. You also learn how Disney Streaming Services is utilizing the Amazon approach to engage its users. The intended audience is developers and business professionals who are responsible for digitally transforming their company.
Leadership Session: Using AWS End User Computing Services for Your Modern Wor...Amazon Web Services
Â
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.
This document outlines Anupam Mishra's presentation on using AWS services to build a scalable cloud infrastructure and enable fast software delivery through automation. It discusses using AWS Elastic Beanstalk for a basic environment, AWS CodeStar and Code services for continuous integration and delivery, and prebuilt AWS solutions for measuring usage and improving performance. The presentation includes demos of these services.
Sviluppare applicazioni voice-first con AWS e Amazon AlexaAmazon Web Services
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Come possiamo sviluppare applicazioni che siano allo stesso tempo scalabili, manutenibili, cost-effective, intelligenti e voice-first? La suite di servizi AWS basati su Machine Learning e Deep Learning offre ad ogni sviluppatore la possibilitĂ di integrare funzionalitĂ avanzate di riconoscimento vocale, comprensione del linguaggio naturale, rendering audio e traduzione automatica.
In questo webinar, Alex ed Arianna discuteranno le tecniche e le best practice per implementare interfacce vocali tramite i servizi AWS. Arianna, technical evangelist per Amazon Alexa, introdurrĂ Alexa e mostrerĂ come sviluppare esperienze vocali per questâultima.
BDA304 Build Deep Learning Applications with TensorFlow and Amazon SageMakerAmazon Web Services
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Deep learning continues to push the state of the art in domains such as computer vision, natural language understanding, and recommendation engines. In this session, you learn how to get started with the TensorFlow deep learning framework using Amazon SageMaker, a platform to easily build, train, and use to deploy models at scale. You learn how to build a model using TensorFlow by setting up a Jupyter Notebook to get started with image and object recognition. You also learn how to quickly train and deploy a model through Amazon SageMaker.
Deep Dive on Amazon Rekognition, ft. Tinder & News UK (AIM307-R) - AWS re:Inv...Amazon Web Services
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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.
Harness the Power of Crowdsourcing with Amazon Mechanical Turk (AIM351) - AWS...Amazon Web Services
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Amazon Mechanical Turk operates a marketplace for crowdsourcing, and developers can build human intelligence directly into their applications through a simple API. With access to a diverse, on-demand workforce, companies can leverage the power of the crowd for a range of tasks, from ML training and automating manual tasks to generating human insights. In this session, we cover key concepts for Mechanical Turk, and we share best practices for how to integrate and scale your crowdsourced application. By the end of this session, expect to have a general understanding of Mechanical Turk and know how to get started harnessing the power of the crowd.
Cloud Choices Quantifying the Cost and Risk Implications of CloudAmazon Web Services
Â
- The document discusses quantifying the costs and risks of cloud computing choices. It addresses how perception and cognitive biases can impact outcomes of IT projects.
- Key factors that influence cloud adoption outcomes are identified, including focus on business impact, accountability, learning from past projects, planning, stakeholder consensus, leadership, and execution capabilities.
- Methods are presented for assessing complexity, decisiveness, and measuring costs, risks, and value to make informed cloud choices and reduce risks of cloud migration.
The document discusses lessons learned from Jonathan Allen's career in enterprise IT and strategies for moving to the cloud. It covers compelling reasons for cloud migration like agility, cost reduction, and facility decisions. It also discusses challenges of reskilling employees and account setup hurdles. The rest of the document outlines methods for modern product development using DevOps, agile teams, and design thinking. It emphasizes the importance of continuous testing and achieving organizational flow.
How Fannie Mae Processes over a Quarter Million Loans per Day with Amazon S3 ...Amazon Web Services
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Fannie Mae processes over 250,000 loans per day with Amazon S3 by optimizing performance, availability, and durability. They implemented caching to improve GET and PUT latency, uncoupled writes from transactions with compensation, and encrypted data at rest. These changes reduced response times by over 100% and improved latency percentiles. Additional challenges involved retrying occasional slow GETs and rightsizing instances.
The document discusses AWS migration tools and strategies. It provides an overview of AWS services like Application Discovery Service and Migration Hub that help with discovery, planning, and tracking migrations. It also summarizes common migration patterns and challenges, and highlights how tools like ADS can help with discovery of on-premises assets and costs to better plan a migration. Example customer migrations are provided that leveraged AWS to reduce costs while improving agility.
91APP is a leading e-commerce solutions provider in Taiwan. They were facing issues with their legacy APIs including complex authentication, poorly designed resources and payloads, and lack of monitoring and rate limiting. They wanted to adopt a microservices architecture and serverless approach using AWS API Gateway for authentication, authorization, monitoring and management of APIs. Some considerations for adopting API Gateway included public vs private endpoints, integration with existing infrastructure, minimizing customer changes, and planning development processes around API documentation, testing and deployment. API Gateway also enables an "API economy" approach where customers are charged or provisioned based on their usage plans and API keys.
[REPEAT 1] Confidently Execute Your Cloud Audit: Expert Advice (SEC205-R1) - ...Amazon Web Services
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For security-conscious businesses, SOC 2 compliance is a minimum requirement when considering a cloud-based SaaS or PaaS solution. In this session, AWS and Deloitte deliver a joint workshop designed to help customers who are considering or undergoing SOC 2 compliance be successful, from initiation to delivery. The workshop is interactive, with practical activities derived from real-life challenges that occur throughout the audit life cycle, including planning, scoping, control development, and audit execution. Customers walk away with confidence to execute their own SOC audit to validate the security and compliance of their own cloud applications.
Go Fast and Remain Secure: How Millennium Enables Developers and Upholds Secu...Amazon Web Services
Â
How do you empower your developers to manage their own AWS infrastructure and give them the flexibility that AWS provides without compromising security? Millennium Management, a global investment management firm, did not want to limit its developers, but the company needed to ensure that they followed security best practices. In this chalk talk, AWS and Millennium professionals share, discuss, and answer your questions on how Millennium achieved this balance through the combined use of CI/CD patterns, a number of AWS services, and a component-based Python framework. Together, we review architecture, automation, security, and a number of use cases to help you achieve these same no-compromise-needed results in your organization.
The document discusses National Australia Bank's cloud security strategy and journey in adopting AWS security best practices. It outlines NAB's objectives to extend existing security services to the cloud and implement integrated and secure-by-default solutions with continuous security governance. The document also discusses AWS security frameworks like the Cloud Adoption Framework and Well-Architected Framework to help organizations define security strategies and implement best practices for identity and access management, infrastructure security, data protection, and incident response.
The document discusses several key lessons for machine learning developers. It emphasizes that most time should be spent on data collection, integration, preparation and cleaning. It also stresses the importance of feedback loops to continuously retrain models to improve performance. Automation of model training, deployment and optimization is recommended to allow for rapid iteration. The goal of machine learning projects should be to frame business problems appropriately to meet business goals.
Amazon brings natural language processing, automatic speech recognition, text-to-speech, and neural machine translation technologies within reach of every developer. In this session, learn how you can easily add intelligence to any application with solution-oriented machine learning (ML) services that provide speech, language, and chatbot functionalities. We also share real-world examples of ML in action. See how others are defining and building the next generation of apps that can hear, speak, understand, and interact with the world around us.
Get to Know Your Customers - Build and Innovate with a Modern Data ArchitectureAmazon Web Services
Â
Your customers probably want a better experience with your brand. Your different business teams want and need better insights in their decision making. Almost certainly, your finance and operations teams require this to happen at a fraction of the cost of traditional on-premises options. Modern data architectures on AWS help many of our best customers realise all of those goals. Your business data contains critical information about customer behaviours, operational decisions, and many factors that have financial impact on your organisation. Increasingly, this data sits beyond your transactional systems, and is too big, too fast, and too complex for existing systems to handle. AWS Data and Analytics services are designed from our customers' requirements to ingest, store, analyse, and consume information at record-breaking scale. In this session you will learn how these services work together to deliver business automation, enhance customer engagement and intelligence.
Leadership Session: Overview of Amazon Digital User Engagement Solutions (DIG...Amazon Web Services
Â
This session, we describe how AWS provides the Amazon customer-centric culture of innovation, key technology building blocks, and a user engagement platform to help companies better engage their users. You also learn how Disney Streaming Services is utilizing the Amazon approach to engage its users. The intended audience is developers and business professionals who are responsible for digitally transforming their company.
Leadership Session: Using AWS End User Computing Services for Your Modern Wor...Amazon Web Services
Â
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.
This document outlines Anupam Mishra's presentation on using AWS services to build a scalable cloud infrastructure and enable fast software delivery through automation. It discusses using AWS Elastic Beanstalk for a basic environment, AWS CodeStar and Code services for continuous integration and delivery, and prebuilt AWS solutions for measuring usage and improving performance. The presentation includes demos of these services.
Sviluppare applicazioni voice-first con AWS e Amazon AlexaAmazon Web Services
Â
Come possiamo sviluppare applicazioni che siano allo stesso tempo scalabili, manutenibili, cost-effective, intelligenti e voice-first? La suite di servizi AWS basati su Machine Learning e Deep Learning offre ad ogni sviluppatore la possibilitĂ di integrare funzionalitĂ avanzate di riconoscimento vocale, comprensione del linguaggio naturale, rendering audio e traduzione automatica.
In questo webinar, Alex ed Arianna discuteranno le tecniche e le best practice per implementare interfacce vocali tramite i servizi AWS. Arianna, technical evangelist per Amazon Alexa, introdurrĂ Alexa e mostrerĂ come sviluppare esperienze vocali per questâultima.
BDA304 Build Deep Learning Applications with TensorFlow and Amazon SageMakerAmazon Web Services
Â
Deep learning continues to push the state of the art in domains such as computer vision, natural language understanding, and recommendation engines. In this session, you learn how to get started with the TensorFlow deep learning framework using Amazon SageMaker, a platform to easily build, train, and use to deploy models at scale. You learn how to build a model using TensorFlow by setting up a Jupyter Notebook to get started with image and object recognition. You also learn how to quickly train and deploy a model through Amazon SageMaker.
Deep Dive on Amazon Rekognition, ft. Tinder & News UK (AIM307-R) - AWS re:Inv...Amazon Web Services
Â
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.
Harness the Power of Crowdsourcing with Amazon Mechanical Turk (AIM351) - AWS...Amazon Web Services
Â
Amazon Mechanical Turk operates a marketplace for crowdsourcing, and developers can build human intelligence directly into their applications through a simple API. With access to a diverse, on-demand workforce, companies can leverage the power of the crowd for a range of tasks, from ML training and automating manual tasks to generating human insights. In this session, we cover key concepts for Mechanical Turk, and we share best practices for how to integrate and scale your crowdsourced application. By the end of this session, expect to have a general understanding of Mechanical Turk and know how to get started harnessing the power of the crowd.
Cloud Choices Quantifying the Cost and Risk Implications of CloudAmazon Web Services
Â
- The document discusses quantifying the costs and risks of cloud computing choices. It addresses how perception and cognitive biases can impact outcomes of IT projects.
- Key factors that influence cloud adoption outcomes are identified, including focus on business impact, accountability, learning from past projects, planning, stakeholder consensus, leadership, and execution capabilities.
- Methods are presented for assessing complexity, decisiveness, and measuring costs, risks, and value to make informed cloud choices and reduce risks of cloud migration.
The document discusses lessons learned from Jonathan Allen's career in enterprise IT and strategies for moving to the cloud. It covers compelling reasons for cloud migration like agility, cost reduction, and facility decisions. It also discusses challenges of reskilling employees and account setup hurdles. The rest of the document outlines methods for modern product development using DevOps, agile teams, and design thinking. It emphasizes the importance of continuous testing and achieving organizational flow.
How Fannie Mae Processes over a Quarter Million Loans per Day with Amazon S3 ...Amazon Web Services
Â
Fannie Mae processes over 250,000 loans per day with Amazon S3 by optimizing performance, availability, and durability. They implemented caching to improve GET and PUT latency, uncoupled writes from transactions with compensation, and encrypted data at rest. These changes reduced response times by over 100% and improved latency percentiles. Additional challenges involved retrying occasional slow GETs and rightsizing instances.
The document discusses AWS migration tools and strategies. It provides an overview of AWS services like Application Discovery Service and Migration Hub that help with discovery, planning, and tracking migrations. It also summarizes common migration patterns and challenges, and highlights how tools like ADS can help with discovery of on-premises assets and costs to better plan a migration. Example customer migrations are provided that leveraged AWS to reduce costs while improving agility.
91APP is a leading e-commerce solutions provider in Taiwan. They were facing issues with their legacy APIs including complex authentication, poorly designed resources and payloads, and lack of monitoring and rate limiting. They wanted to adopt a microservices architecture and serverless approach using AWS API Gateway for authentication, authorization, monitoring and management of APIs. Some considerations for adopting API Gateway included public vs private endpoints, integration with existing infrastructure, minimizing customer changes, and planning development processes around API documentation, testing and deployment. API Gateway also enables an "API economy" approach where customers are charged or provisioned based on their usage plans and API keys.
[REPEAT 1] Confidently Execute Your Cloud Audit: Expert Advice (SEC205-R1) - ...Amazon Web Services
Â
For security-conscious businesses, SOC 2 compliance is a minimum requirement when considering a cloud-based SaaS or PaaS solution. In this session, AWS and Deloitte deliver a joint workshop designed to help customers who are considering or undergoing SOC 2 compliance be successful, from initiation to delivery. The workshop is interactive, with practical activities derived from real-life challenges that occur throughout the audit life cycle, including planning, scoping, control development, and audit execution. Customers walk away with confidence to execute their own SOC audit to validate the security and compliance of their own cloud applications.
Go Fast and Remain Secure: How Millennium Enables Developers and Upholds Secu...Amazon Web Services
Â
How do you empower your developers to manage their own AWS infrastructure and give them the flexibility that AWS provides without compromising security? Millennium Management, a global investment management firm, did not want to limit its developers, but the company needed to ensure that they followed security best practices. In this chalk talk, AWS and Millennium professionals share, discuss, and answer your questions on how Millennium achieved this balance through the combined use of CI/CD patterns, a number of AWS services, and a component-based Python framework. Together, we review architecture, automation, security, and a number of use cases to help you achieve these same no-compromise-needed results in your organization.
The document discusses National Australia Bank's cloud security strategy and journey in adopting AWS security best practices. It outlines NAB's objectives to extend existing security services to the cloud and implement integrated and secure-by-default solutions with continuous security governance. The document also discusses AWS security frameworks like the Cloud Adoption Framework and Well-Architected Framework to help organizations define security strategies and implement best practices for identity and access management, infrastructure security, data protection, and incident response.
The document discusses several key lessons for machine learning developers. It emphasizes that most time should be spent on data collection, integration, preparation and cleaning. It also stresses the importance of feedback loops to continuously retrain models to improve performance. Automation of model training, deployment and optimization is recommended to allow for rapid iteration. The goal of machine learning projects should be to frame business problems appropriately to meet business goals.
Amazon brings natural language processing, automatic speech recognition, text-to-speech, and neural machine translation technologies within reach of every developer. In this session, learn how you can easily add intelligence to any application with solution-oriented machine learning (ML) services that provide speech, language, and chatbot functionalities. We also share real-world examples of ML in action. See how others are defining and building the next generation of apps that can hear, speak, understand, and interact with the world around us.
BDA302 Building Intelligent Apps with AWS Machine Learning Language ServicesAmazon Web Services
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Amazon brings natural language processing (NLP), automatic speech recognition (ASR), text-to-speech (TTS), and neural machine translation (NMT) technologies within reach of every developer. In this session, learn how you can easily add intelligence to any application with solution-oriented machine learning (ML) services that provide speech, language, and chatbot functionalities. We also share real-world examples of ML in action. See how others are defining and building the next generation of apps that can hear, speak, understand, and interact with the world around us.
Improving Customer Experience: Enhanced Customer Insights Using Natural Langu...Amazon Web Services
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The document discusses using natural language processing (NLP) techniques to gain customer insights from unstructured text data. It describes several Amazon NLP services like Amazon Comprehend, Amazon Transcribe, Amazon Translate, and Amazon Polly that can be used to extract entities, key phrases, sentiment and topics from text. It also discusses how these services can be combined with Amazon SageMaker and Amazon ML services to build custom classifiers and analyze customer calls to improve customer experience.
Build Intelligent Apps with Amazon ML - Language Services - BDA302 - Chicago ...Amazon Web Services
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Amazon brings natural language processing, automatic speech recognition, text-to-speech, and neural machine translation technologies within reach of every developer. In this session, learn how you can easily add intelligence to any application with solution-oriented machine learning (ML) services that provide speech, language, and chatbot functionalities. We also share real-world examples of ML in action. See how others are defining and building the next generation of apps that can hear, speak, understand, and interact with the world around us.
Machine Learning: Beyond the Hype. Presentation slides from Darin Briskman, Chief Technical Evangelist, Amazon Web Services at the Canadian Executive Cloud & DevSecOps Summit. May 4, 2018 in Toronto and May 11, 2018 in Vancouver. Hosted by TriNimbus
ai mlLeverage Data and AI/ML to Drive New Experiences and Make Better DecisionsAmazon Web Services
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Discover how to create a knowledge mine of insights from your data using cognitive technologies. Get tips on how to serve customers with smart cognitive assistants, and how to use this technology to enable efficient decisions to be made across your organisation.
Machine Learning on AWS (December 2018)Julien SIMON
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The document discusses machine learning services available on Amazon Web Services (AWS). It describes several AWS machine learning application services like Amazon Rekognition for image and video analysis, Amazon Translate for language translation, and Amazon Transcribe for speech to text. It also covers AWS machine learning platform services, including Amazon SageMaker for building, training and deploying models, and Amazon Comprehend for natural language processing. Many companies are using these AWS machine learning services for applications like facial recognition, translation, speech transcription and analyzing text.
Create Smart and Interactive Apps with Intelligent Language Services on AWS (...Amazon Web Services
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The document discusses Amazon's machine learning and AI services for language processing. It describes Amazon Lex for building conversational interfaces, Amazon Polly for text-to-speech, Amazon Comprehend for extracting insights from text, Amazon Transcribe for speech recognition, and Amazon Translate for machine translation between languages. Use cases for each service are also provided.
Amazon brings computer vision, natural language processing (NLP), speech recognition, text to speech, and machine translation within the reach of every developer. API-driven application services enable developers to easily plug in pre-built artificial intelligence (AI) functionality into their applications, and to automate manual workflows. In this session, we will share how to build the next generation of intelligent apps that can see, hear, speak, understand, and interact with the world around us.Automating the provisioning, configuration and deployment of complex applications requires some design choices on top of AWS services. This presentation discusses how to implement modularity, reliability and security into continuous delivery pipelines ("DevSecOps"). Learn how to automate application delivery using AWS CloudFormation and other tools from Amazon Web Services.
Introduction to AWS ML Application Services - BDA202 - Toronto AWS SummitAmazon Web Services
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Amazon brings computer vision, natural language processing, speech recognition, text-to-speech, and machine translation within the reach of every developer. API-driven application services enable developers to easily plug in pre-built AI functionality into their applications and automate manual workflows. Join us to learn more about new language capabilities and text-in-image extraction. We also share how others are building the next generation of intelligent apps that can see, hear, speak, understand, and interact with the world around us.
The document discusses Amazon Web Services (AWS) artificial intelligence (AI) and machine learning (ML) services. It highlights AWS's mission to put ML in developers' hands and provide the broadest and deepest set of AI/ML services. It describes various AI services (e.g. computer vision, natural language processing) and ML services (e.g. model training/deployment, data labeling). It also provides examples of customers using AWS AI/ML services for applications like customer service, fraud detection, and product recommendations.
AWS Machine Learning Week SF: Build Intelligent Applications with AWS ML Serv...Amazon Web Services
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AWS Machine Learning Week at the San Francisco Loft
Add Intelligence to Applications with AWS ML Services: Organizations are increasingly turning to machine learning to build intelligent applications and get more insights out of their data in real-time. In this session, youâll learn about AWS Machine Learning APIs for computer vision and language, and how to get started with these pre-trained services: Amazon Rekognition, Amazon Comprehend, Amazon Transcribe, Amazon Translate, Amazon Polly, and Amazon Lex. Weâll also show how these services connect to AWSâs comprehensive data platform and services to drive the success of your machine learning projects.
ďťżSpeaker: Randall Hunt - Technical Evangelist, AWS
We have entered a stage where innovation and creativity are accelerating for those who are using advanced technology platforms, shared learning, and artificial intelligence to unlock new todays. AWS is at the forefront of innovation in AI, and we are using it to fundamentally change how we run our businesses and the experiences our customers have. This session will cover AWS AI services and how Amazon is using AI to enhance customer experience.
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21st Century Ways of Engaging with Your Customers: Leverage Data and AI/ML to Drive New Experiences and Deliver Better Informed Decisions
Speaker:
Matt Pitchford, FS Specialist Solutions Architect, AWS
Discover how to create a knowledge mine of rich insights from your data using cognitive technologies. Use this approach to serve customers with smart cognitive assistants delivering memorable financial experiences and use the same technology to empower colleagues to make efficient decisions across your organisation.
The document outlines an agenda for a day-long event on AI and machine learning. It begins with an introductory session on the state of AI from 10:00-11:00 am. This is followed by a break and then deeper sessions on Amazon Sagemaker, Forecast, and Personalize. Lunch is from 12:30-1:30 pm. The afternoon includes sessions on machine learning production with Sagemaker and fraud detection with Sagemaker. There are additional breaks throughout the day and the event concludes with a session on reinforcement learning from 3:45-4:45 pm.
Add Intelligence to Applications with AWS ML Services
Organizations are increasingly turning to machine learning to build intelligent applications and get more insights out of their data in real-time. In this session, youâll learn about AWS Machine Learning APIs for computer vision and language, and how to get started with these pre-trained services: Amazon Rekognition, Amazon Comprehend, Amazon Transcribe, Amazon Translate, Amazon Polly, and Amazon Lex. Weâll also show how these services connect to AWSâs comprehensive data platform and services to drive the success of your machine learning projects.
Level: 200
Speaker: Yash Pant - Enterprise Solutions Architect, AWS
Add Intelligence to Applications with AWS ML Services: Machine Learning Week ...Amazon Web Services
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Machine Learning Week at the San Francisco Loft: Add Intelligence to Applications with AWS ML Services
Organizations are increasingly turning to machine learning to build intelligent applications and get more insights out of their data in real-time. In this session, youâll learn about AWS Machine Learning APIs for computer vision and language, and how to get started with these pre-trained services: Amazon Rekognition, Amazon Comprehend, Amazon Transcribe, Amazon Translate, Amazon Polly, and Amazon Lex. Weâll also show how these services connect to AWSâs comprehensive data platform and services to drive the success of your machine learning projects.
ďťżLevelďťż: 200
ďťżSpeakerďťż: Anjana Kandalam - Solutions Architect, AWS
Amazon brings computer vision, natural language processing (NLP), speech recognition, text to speech, and machine translation within the reach of every developer. API-driven application services enable developers to easily plug in pre-built artificial intelligence (AI) functionality into their applications, and to automate manual workflows. In this session, we will share how to build the next generation of intelligent apps that can see, hear, speak, understand, and interact with the world around us.
Amazon brings computer vision, natural language processing (NLP), speech recognition, text to speech, and machine translation within the reach of every developer. API-driven application services enable developers to easily plug in pre-built artificial intelligence (AI) functionality into their applications, and to automate manual workflows. In this session, we will share how to build the next generation of intelligent apps that can see, hear, speak, understand, and interact with the world around us.
Similar to Build Smarter Enterprise Apps with AI, AR & VR on AWS (20)
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...Amazon Web Services
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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, lâutilizzo 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 modalitĂ Server...Amazon Web Services
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La varietĂ e la quantitĂ di dati che si crea ogni giorno accelera sempre piĂš velocemente e rappresenta una opportunitĂ irripetibile per innovare e creare nuove startup.
Tuttavia gestire grandi quantitĂ di dati può apparire complesso: creare cluster Big Data su larga scala sembra essere un investimento accessibile solo ad aziende consolidate. Ma lâelasticitĂ 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 dellâinfrastruttura, 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 piĂš 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'agilitĂ , la velocitĂ di rilascio e, in definitiva, ci ha consentito di creare applicazioni piĂš 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
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Lâutilizzo 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 â 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 lâofferta della tua startup sul mercato con i servizi Machine Lea...Amazon Web Services
Â
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
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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 affidabilitĂ del tuo applicativo installato su Instanze EC2.
Microsoft Active Directory su AWS per supportare i tuoi Windows WorkloadsAmazon Web Services
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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 possibilitĂ 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 mercoledÏ 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 vSphereŽ 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 agilitĂ 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
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Molte aziende oggi, costruiscono applicazioni con funzionalitĂ 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 necessitĂ 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 funzionalitĂ di QLDB.
Con lâascesa delle architetture di microservizi e delle ricche applicazioni mobili e Web, le API sono piĂš 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 dâuso creando API moderne con funzionalitĂ 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
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Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilitĂ 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 lâarchitettura e dimostreranno come sfruttare a pieno le potenzialitĂ 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
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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 piÚ dei tuo container.
Build Smarter Enterprise Apps with AI, AR & VR on AWS
1. Š 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Build Smarter Enterprise
Apps with AI, AR & VR on
AWS
Dean Samuels
Head of Solutions Architecture
Amazon Web Services â Hong Kong & Taiwan
2. Š 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Agenda
AWS Artificial Intelligence Services
Augmented & Virtual Reality (AR & VR)
Augmented & Virtual Reality (AR & VR)
Building Intelligent ApplicationsâŚ
3. Š 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Perform tasks which normally
require human intelligence and
the ability for a computer system
to adapt to humans and interact
in a natural manner, rather than
humans adapting to a system
4. Š 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
âBy 2022, task-level intelligent
apps that augment human efforts
will account for 30% of the
enterprise apps marketâ
-- IDC on Cognitive/AI Systems
5. Š 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
A long heritage of machine learning at Amazon
Personalized
recommendations
Inventing entirely
new customer
experiences
Fulfillment
automation and
inventory
management
Drones Voice driven
interactions
6. Š 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Put machine learning
in the hands of every
developer and data
scientist
ML @ AWS:
OUR MISSION
7. Š 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
The Amazon Machine Learning Stack
F R A M E W O R K S
P L A T F O R M S
Rekognition Rekognition
Video
Polly Transcribe Translate Comprehend Lex
A P P L I C A T I O N S E R V I C E S
Amazon SageMaker Amazon Mechanical Turk
8. Š 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Agenda
AWS Artificial Intelligence Services
Augmented & Virtual Reality (AR & VR)
Where to Next
Building Intelligent Applications
9. Š 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
The Amazon Machine Learning Stack
F R A M E W O R K S
P L A T F O R M S
Rekognition Rekognition
Video
Polly Transcribe Translate Comprehend Lex
A P P L I C A T I O N S E R V I C E S
Amazon SageMaker Amazon Mechanical Turk
10. Š 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
How do you make your
applications conversational?
11. Š 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon Lex
A service for building conversational interfaces into
any application using voice and text
12. Š 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon Lex
Social Intelligence
Personality
Modality
Dynamic
Conversation
⢠Built-in error handling allows you to manage unexpected scenarios
⢠Intent chaining can be used to build a conversation flow based on user
input
⢠Rich formatting capabilities can be leveraged for a more engaging
experience
⢠Create conversation combining speech and text in the same session
⢠Select from multiple prompts to give your bot a personality
⢠Choose from a range of Amazon Polly voices depending on target
audience
⢠Use AWS Lambda to personalize the conversation based on userâs
social profile
⢠Context is maintained allowing you to build intelligent conversations
13. Š 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon Lex â use cases
Informational Bots
Chatbots for everyday consumer requests
Application Bots
Build powerful interfaces to mobile applications
⢠News updates
⢠Weather information
⢠Game scores âŚ.
⢠Book tickets
⢠Order food
⢠Manage bank accounts âŚ.
Enterprise Productivity Bots
Streamline enterprise work activities and improve efficiencies
⢠Check sales numbers
⢠Marketing performance
⢠Inventory status âŚ.
Internet of Things (IoT) Bots
Enable conversational interfaces for device interactions
⢠Wearables
⢠Appliances
⢠Auto âŚ.
Contact Center Bots
Chatbots for customer service IVR
⢠Account inquiries
⢠Bill payment
⢠Service update âŚ.
14. Š 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
How do you give your
applications a voice?
15. Š 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon Polly
A text-to-speech service that uses advanced deep
learning technologies to synthesize speech that
sounds like a human voice
16. Š 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Use cases
⢠Content creation
⢠Mobile & desktop applications
⢠Internet of Things (IoT)
⢠Education & e-learning
⢠Telephony
⢠Game development
Amazon Polly
Key features
⢠52 Voices across 25 languages
⢠New: Mandarin Support
⢠Lip-syncing & text highlighting
⢠Fine-grained voice control
⢠Custom vocabularies
⢠Available in 14 AWS Regions
17. Š 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon Polly: Use cases
Voiced
Notifications
Special Needs
AI Assistant
AI Radio
Announcer
Video
Creation
Amazon Polly
Navigation
Podcasting
18. ââAI simply has to be part of the fabric of any modern
app from this point forward. It makes sense to work
with existing best-in-class AI services instead of trying
to invent them yourself, so itâs just tremendous that
AWS makes them available for us to just plug into.
Astrobot Voice Makes Email More
Efficient by Using Amazon Lex
To help workplace teams make
their communications more
effective and less time-consuming,
Astro wanted to build a voice
assistant for its Astro email app.
Astrobot Voice uses Amazon Lex
to provide high-quality capabilities
for speech recognition and
language understanding. The
Astro email app also uses Amazon
Aurora and Amazon S3.
⢠Built and deployed an enterprise-
grade production application
feature in only six weeks
⢠Needs only one employee to
manage server operations for an
application available on five
platforms
⢠Tripled new user signups the first
week Astrobot Voice was
available
SolutionChallenge Benefits
Andy Pflaum, Cofounder & Chief Executive Officer, Astro
Company: Astro
Industry: Computer Software &
Internet Software
Country: United States
Employees: 21
Website: www.helloastro.com
About Astro
Astro enables workplace teams to
focus on whatâs most important by
using machine learning to make their
communications more effective.
Founded in 2015 and based in Palo
Alto, California, the company raised
$10 million in its Series A venture-
capital round.
19. Š 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
How do you extract insights
from unstructured text?
20. Š 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon Comprehend
A fully managed and continuously trained service
that helps you extract insights from unstructured text
21. Š 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon Comprehend
Sentiment Entities LanguagesKey phrases
Topic
modeling
Syntax
22. Š 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon Comprehend: Natural Language Processing
A m a z o n . c o m , I n c . i s l o c a t e d
i n S e a t t l e , W A a n d w a s
f o u n d e d J u l y 5 , 1 9 9 4 b y J e f f
B e z o s . O u r c u s t o m e r s l o v e
b u y i n g e v e r y t h i n g f r o m
b o o k s t o b l e n d e r s a t g r e a t
p r i c e s
N a m e d E n t i t i e s
⢠A m a z o n . c o m : O r g a n i z a t i o n
⢠S e a t t l e , W A : L o c a t i o n
⢠J u l y 5 t h , 1 9 9 4 : D a t e
⢠J e f f B e z o s : P e r s o n
K e y p h r a s e s
⢠O u r c u s t o m e r s
⢠b o o k s
⢠b l e n d e r s
⢠g r e a t p r i c e s
S e n t i m e n t
⢠P o s i t i v e
L a n g u a g e
⢠E n g l i s h
23. Š 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon Comprehend: Syntax API
O u r c u s t o m e r s l o v e b u y i n g
e v e r y t h i n g f r o m b o o k s t o
b l e n d e r s a t g r e a t p r i c e s
Token
(word)
Part of
Speech
Customers Noun
Love Verb
Books Noun
Great Adjective
Prices Noun
24. Š 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Popular Text Analytics use cases
Content Personalization: Customers are using Comprehend NLP output to understand related documents
based on entities, phrases or even topic similarities for trends analysis, to drive content personalization and
recommendations
Semantic Search: Customers using Amazon Comprehend to index entities for boosting and ranking
search results.
Intelligent data warehouse: Customers are using Amazon Comprehend to query unstructured data in
relational databases, processing data within the data lake (Amazon S3) and then inserting it back into the
data warehouse
Social Analytics: Customers are using Amazon Comprehend to ingest, process and analyze trends from
entities and sentiment from social media posts across Twitter and Facebook.
25. Š 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
26. Š 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
How do you make your
applications listen?
27. Š 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon Transcribe
A fully managed and continuously trained automatic
speech recognition (ASR) service that takes in audio
and automatically generates accurate transcripts
28. Š 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon Transcribe: Automatic speech
recognition
Time stamps and
confidence scores
Support for both
regular and
telephony audio
Punctuation
§
Amazon S3
integration
Hello
/Hola
English and
Spanish with
more to come
Detect multiple
speakers
Custom
vocabulary
29. Š 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon Transcribe: Use cases
Call
centers
Subtitles for
VOD
Broadcast closed
captions
Transcribe
meetings
30. Š 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
AWS Lambda
Amazon S3
Amazon
Athena
Audio Input
Amazon
QuickSight
Amazon
Comprehend
Amazon Transcribe: Integration with AWS
31. Š 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
How do you make your
applications multilingual?
32. Š 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon Translate
A fully managed and continuously trained neural
machine translation service that translates text from
one language to another
33. Š 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon Translate: Features
Translate text input Real-time Translation12 languages + more to
come
Language detection via
Amazon Comprehend
AWS security standards Available in US EAST (N.
VIRGINIA), US EAST
(OHIO), US WEST
(OREGON) & DUBLIN
Easy to us and integrate via
CLI OR SDKs Cost effective
34. Š 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Translate Languages
Arabic
Simplified Chinese
French
German
Spanish
Portuguese
Current
Japanese
Traditional Chinese
Italian
Russian
Turkish
Czech
35. Š 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Use for high volume and time-sensitive information
Share of worldwide digital content
⢠Legal documents
⢠Healthcare documents
⢠Advertising materials
Machine translation
⢠User-authored content
⢠Text Analytics
⢠Real-time communication
⢠Content discovery
Post-edited
machine
translation
36. Š 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Powerful language capabilities
Amazon Transcribe
Automatic conversion of speech into accurate,
grammatically correct text
Amazon Translate Natural and fluent language translation
Amazon Polly Turn text into lifelike speech using deep learning
Amazon Comprehend Discover insights and relationships in text
Amazon Lex
Conversational interfaces for text-based and voice-based
applications
37. Š 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Agenda
AWS Artificial Intelligence Services
Augmented & Virtual Reality (AR & VR)
Where to next
Building Intelligent ApplicationsâŚ
38. Š 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Letâs change how we communicate
Real
Environment
Mixed
Reality
Augmented
Virtuality
Virtual
Environment
Augmented
Reality
39. Š 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Whatâs it take to build an AR/VR app?
Developer
has idea
Download &
Install 3D
Engine
Install device
SDK
Register on
platform
Install
platform
SDK
Develop
application
Submit for
Approval
Publish
Application
Customer
finds app on
store
Customer
hits
purchase
button
Customer
waits for
download
Customer
uses
application
40. Š 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Browser Based Augmented Reality
AR.js is fast. It can run
scenes at 60 fps even
on older phones
FAST
Get your users running
your app as soon as
they can. No install!
IMMEDIATE
Open source, JavaScript framework for building web based
Augmented Reality applications.
41. Š 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Š 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.Š 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
42. Š 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Browser Based Augmented Reality
43. Š 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Agenda
AWS Artificial Intelligence Services
Augmented & Virtual Reality (AR & VR)
Use Cases & Reference Architectures
Building Intelligent Applications
44. Š 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Improving Contact Centers With Artificial Intelligence
Amazon
Connect
Amazon
Lex
Amazon
Transcribe
TRANSCRIPT
Analytics
Amazon
Comprehend
Channel synthesis
N E W
Syntax Identification
N E W
45. Š 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Improving Voice Of Customer Analytics With Artificial
Intelligence
Amazon
Translate
Sentiment, entities,
key phrases
Amazon
Comprehend
SOCIAL
MEDIA
and
SUPPORT
CHANNEL
Amazon
S3
Amazon
Quicksight
Amazon
Athena
N E W
24 language pairs
46. Š 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Moderate Content for Viewers using Artificial Intelligence
Amazon S3
1. Store Video and Images
Media Files AWS Lambda
Amazon
Rekognition
3. Detect Unsafe
Content.
4. Store information and
confidence scores on
DynamoDB.
DynamoDB
AWS Lambda
5. Retrieve filtered
content based on the
moderation defined.
API Gateway
Aws Elemental
MediaConvert
2. Convert convert
the ts file to mp4 and
store on S3.
47. Š 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Automatically Index Your Media Library Content with AI
Amazon S3 Face collectionRekognition
1. Store images of recognized people 2. Index individuals into a collection
Recognition and pathing of on-screen persons
Amazon S3 Rekognition Video
3. Store video files
4. Understand movement
of persons on screen and
recognize individual faces
Videos AWS Lambda
7. Summarize Info
on screen detail
DynamoDB
API Gateway
6. Retrieve additional
personâs info
5. Face Match,
analysis and Label
Detection
48. Š 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Š 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
49. Š 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Š 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
50. Š 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.Š 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Thank you!
51. Š 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
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