AWS Innvoate 2018


AWS Innovate Online Conference is designed for executives and IT professionals looking to leverage the AWS Cloud to build and innovate at scale. Hear the very latest from Dr Werner Vogels, CTO and Craig Stires, Head of Big Data and Analytics, AWS, APAC during the keynote and dive deep into any of the 50+ business and technical sessions across ten tracks delivered by AWS experts. This free online conference is designed to inspire and educate you about AWS services and help you develop the skills to design, deploy, and operate infrastructure and applications.  

Join AWS experts as they cover a broad range of topics providing technical depth on architecture and code across core themes: Machine Learning, AI, Big Data and Analytics, Databases, Serverless, Containers, Security and more.

Get your business and technical questions answered by AWS experts.

Attend five sessions and receive a certificate of attendance.


Learn more by visiting AWS Training & Certification, AWS Professional Services and AWS Partner Network booths at the AWS Showcase. Visit the networking lounge to connect and chat with industry peers.

Unlock higher knowledge levels and collect badges throughout the conference.

Access whitepapers, reference architectures and customer case studies to expand your knowledge of AWS.  

Why Attend?

We recognize customers are in many stages of their cloud adoption journey, from exploration to super-users and everything in between. This conference will enable you to maximize innovation with access to scalable and flexible infrastructure.

Who Should Attend?

Whether you are new to AWS or an experienced user, you can learn something new at AWS Innovate. AWS Innovate is designed to help you develop the right skills to design, deploy, and operate infrastructure and applications.



Build Your Own Architecture

Not into slides? Dive deep into architecture best practices with AWS experts as they blackboard how you can build on AWS.

Live Coding

All about coding? Join AWS experts as they live code on hot topics such as Machine Learning, Serverless and more via the AWS Twitch channel.


Dr. Werner Vogels, Chief Technology Officer,

Dr. Werner Vogels is Chief Technology Officer at where he is responsible for driving the company's technology vision, which is to continuously enhance innovation on behalf of Amazon's customers at a global scale. Prior to joining Amazon, he worked as a researcher at Cornell University where he was a principal investigator in several research projects that targeted the scalability and robustness of mission-critical enterprise computing systems. Vogels has held the positions of Research Engineer, VP of Technology and CTO in companies that handle the transition of academic technology into industry. Vogels holds a Ph.D. from the Vrije Universiteit in Amsterdam and has authored many articles for journals and conferences, most of them on distributed systems technologies for enterprise computing.

Craig Stires, Head of Big Data and Analytics, AWS

Craig Stires is Head of Big Data and Analytics for Amazon Web Services, APAC. He works with some of the most innovative organizations, as they architect analytics platforms and become data-driven. When he first moved to Asia, in 2001, he was designing and implementing analytics solutions for Customer Engagement, Risk Management, and Operational Analytics. After several years, he founded a startup in Thailand building predictive intelligence software. Following that, he built the APAC Big Data research practice for industry analytics firm IDC. After years of advising clients to build scalable, optimized, and business-ready analytics platforms, the time was right to get hands-on again. Moving to the world's largest cloud services provider has opened the door to work together with customers to build some of their most exciting visions. 

Olivier Klein, Head of Emerging Technologies, AWS

Olivier is a hands-on technologist with more than 10 years of experience in the industry and has been working for AWS across APAC and Europe to help customers build resilient, scalable, secure and cost-effective applications and create innovative and data driven business models. He advises how emerging technologies in the Artificial Intelligence (AI), ML and IoT space can help create new products, make existing processes more efficient, provide overall business insights and leverage new engagement channels for end-consumers. He also actively helps customers build platforms that align IT infrastructure and service spending with revenue models, effectively reducing waste and disrupting how product development had been executed over the past decades.

Olivier Klein, Head of Emerging Technologies, AWS

Dean comes from an IT infrastructure background and has extensive experience in infrastructure virtualisation and automation. Dean has been with Amazon Web Services for the last five years and has had the opportunity to work with businesses of all sizes and industries, primarily across Australia and New Zealand, but also across the wider APAC region. Dean is committed to helping customers design, implement and optimise their application environments for the public cloud to allow them to become more innovative, agile and secure. Whilst Dean does have a strong IT infrastructure background covering compute, storage, network & security he is very focused in bringing IT Operations and Software Development practices together in a more collaborative and integrated manner.


Click here for Downloadable Agenda at a Glance


Sessions are focused on providing an overview of AWS services and features, with the assumption that attendees are new to the topic.

Sessions are focused on providing best practices, details of service features and demos with the assumption that attendees have introductory knowledge of the topics.

Sessions dive deeper into the selected topic. Presenters assume that the audience has some familiarity with the topic, but may or may not have direct experience implementing a similar solution.

Sessions are for attendees who are deeply familiar with the topic, have implemented a solution on their own already, and are comfortable with how the technology works across multiple services, architectures, and implementations.



  • Migration and Workloads

    The cloud is now the new normal, and there has never been a better time to build on AWS. Whether it is an external facing website that deals with variable demand or an enterprise application like SAP, AWS provides the platform to run the applications that your organization and customers rely on. In this session, we show you how to migrate those applications to AWS. We cover the AWS Migration Framework and the AWS tools that enable migration. We also go through a migration case study. Learn the critical success factors for a migration project and various supporting operating model options.

    Speaker: Manav Prabhakar, Practice Manager, Amazon Web Services, Professional Services

    In addition to providing greater speed, agility, scalability, security, availability, reliability, and flexibility, AWS enables you to save on the total cost of ownership of your IT infrastructure. Join us to learn about the tools and best practices that many customers use to optimize their AWS environment and reduce costs. Some of these include Amazon EC2 right sizing, scheduling Amazon EC2 and Amazon RDS, storage optimization, reserved instances, tagging, and cost visualization.

    Speaker: Peter Shi, Commercial Architect, Amazon Web Services

    In this session, we take you through some of the unique value propositions for customers running SAP on AWS. We also introduce data lakes, and we cover best practices and use cases for architecture design. Finally, we share a case study on building a data lake by leveraging SAP and data from social media to analyze sales and customer sentiment.

    Santosh Choudhary, Senior Partner Solution Architect, Amazon Web Services
    Harpreet Singh, SAP Solution Architect, Amazon Web Services  

    Microsoft applications run well on AWS. In this session, we explore options for migrating your on-premises Microsoft applications to AWS. We cover services like AWS SMS, which provides an easy lift and shift migration of Windows servers. We also demonstrate how to containerize your .NET applications and bring them into AWS with the help of Amazon ECS and Amazon ECR.

    Sriwantha Attanayake, Partner Solution Architect, Amazon Web Services

    The VMware Cloud on AWS gives enterprises new options to migrate applications to the cloud and new ways to build cloud applications. In this session, learn how enterprises can extend and optimize their VMware investments and skills into the VMware Cloud on AWS. Also learn the technical details of this service, and hear how it can help you leverage your existing VMware investments while providing the scalability, agility, and security of AWS.

    David Lim, Head of Consulting Partners, Amazon Web Services
    Frank Fan, Partner Solution Architect, Amazon Web Services

  • Database and Storage

    Learn why AWS is building a comprehensive database and analytics platform with purpose-built databases designed to solve specific customer problems. We dive deeper into the operational database services that AWS offers, such as Amazon RDS, Amazon DynamoDB, Amazon ElastiCache, and the new Amazon Neptune graph database. Finally, through a demonstration of Amazon RDS, you get to see how easy it is to use a managed database service.

    Speaker: Blair Layton, Business Development Manager, Amazon Web Services

    In this session, we describe Amazon ElastiCache for Redis, an in-memory data store that enables application response time to be measured in microseconds. We also discuss how to design and deploy high-performance applications using Amazon ElastiCache for Redis and Amazon Aurora, and we demonstrate Amazon ElastiCache for Redis so you can see it in action and understand how it can help with application latency.

    Speaker: Ganesh Raja, Solution Architect, Amazon Web Services

    In this session, we give an overview of property and knowledge graphs. We describe how you can create and query these graphs, and we help you understand how you can benefit from using Neptune, a fully managed enterprise grade graph database service designed to supercharge your apps with insights.

    Speaker: Clayton Brown, Solution Architect, Amazon Web Services

    A key part of moving applications to the cloud is migrating data. AWS now offers several services to easily migrate data at petabyte scale. Whether the destination is Amazon S3, Amazon Glacier, Amazon EFS, or Amazon EBS, you can move large volumes of data from your facilities to the cloud with AWS. Learn how to do this with an online or offline transfer service—including AWS Storage Gateway, AWS Snowball and AWS Snowball Edge, or Amazon EFS File Sync. Also learn about the AWS services available to migrate datasets into AWS file, block, and object storage services. Determine which option can fit your requirements, and get started.

    Speaker: Luke Anderson, Head of Storage, Amazon Web Services

    As your data grows and diversifies, storing, protecting, and recovering it becomes increasingly challenging. AWS offers the tools and resources to build scalable, durable, and secure backup and restore solutions to augment or replace your existing capabilities. Learn how you can work with AWS and our ecosystem of storage partners to meet your Recovery Time Object, Recovery Point Objective, data retention, and compliance requirements—with pay-as-you-go pricing and no upfront capital investments. Whether your IT environment is on-premises, hybrid, or cloud-native, learn how AWS can help you design and deploy a data-protection solution that meets your needs.

    Speaker: Luke Anderson, Head of Storage, Amazon Web Services

  • Big Data and Analytics

    Your business data contains critical information about customer behaviors, operational decisions, and many other factors that have a financial impact on your organization. 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 based on our customers' requirements to ingest, store, analyze, and consume information at a record-breaking scale. In this session, we take you through a customer journey—from consolidating systems to real-time analytics—and we show you how these services work together to deliver business automation and enhance customer engagement and intelligence.

    Speaker: Craig Stires, Head of Big Data and Analytics, Amazon Web Services

    In this session, we look at analytics through the eyes of a business intelligence analyst, a data scientist, and a data engineer. Learn how to quickly leverage Amazon Redshift, Amazon Redshift Spectrum, Amazon QuickSight, and Amazon Athena to create powerful, yet straightforward, business solutions. Join us for a scenario-based deep dive on Amazon Redshift, Amazon Redshift Spectrum, Amazon Athena, and Amazon EMR.

    Speaker: Ekta Parashar, Solution Architect Manager, Amazon Internet Services Private Limied

    Today, organizations find themselves in a data-rich world with a growing need for increased agility and access to data analysis from which they can derive keen insights and drive strategic decisions. Creating a data lake helps you manage all the disparate sources of data you are collecting in their original format and extract value. In this session, learn how to architect patterns to make data accessible to users, including governance, search, partitioning and columnar formatting.

    Speaker: Ganesh Raja, Solution Architect, AWS

    Companies need to gain insight and knowledge as a result of the growing number of Internet of Things (IoT) devices, APIs, clickstreams, unstructured and log data sources. However, companies are also often limited by legacy data warehouses and ETL processes that were designed for transactional data. In this session, we will introduce key ETL features of AWS Glue and look at how to build scalable, efficient and serverless ETL pipelines using AWS Glue.

    Learn how our customer, NEXTY Electronics (A Toyota Tsusho Group Company), built their real-time data ingestion and batch analytics pipeline using AWS Big Data and Analytics services.

    Unni Pillai, Specialist Solution Architect, Big Data and Analytics, Amazon Web Services
    Thanomsak Ajjanapanya, Data Engineering Manager, Toyota Tsusho – Thailand

    In this session, we share how enterprise data warehousing works on AWS, and we focus on the two patterns that you can leverage to help you offload and migrate your data warehouse to AWS. We also cover patterns for decoupling, offloading, migrating, and then refactoring for Teradata and Oracle into a data lake and Amazon Redshift.

    Speaker: David McAmis, Partner Solution Architect, Amazon Web Services

  • AI and Machine Learning

    Machine learning (ML) is having a major impact on society, so how can companies accelerate innovation and quickly drive their developers and data scientists to adopt ML? In this session, learn how customers are leveraging Amazon ML services, from API-driven machine intelligence to the most complex ML solutions requiring the latest NVidia GPU processors. We also describe how you can easily apply computer vision and natural language services to existing or new applications, and we show you how to automate ML pipelines with platform services like Amazon SageMaker.

    Speaker: Steve Shirkey, Specialist Solution Architect, Amazon Web Services

    Detecting anomalies in data and finding unusual behavior or patterns is critical to any business, no matter the industry. Whether you work in healthcare, IT, retail, or another industry, it is crucial to leverage your data, extract insights, and drive business outcomes. In this session, learn about anomalies, anomaly detection, and how to build an anomaly detection model using Amazon SageMaker.

    Speaker: Will Badr, Senior Technical Account Manager, Amazon Web Services Enterprise Support

    In this session, learn how to expand the capabilities of your applications with automated image and video analysis using Amazon Rekognition. Join us, and explore some common use cases, learn about the extensive feature sets that Amazon Rekognition provides, and watch Amazon Rekognition in action.

    Speaker: Gabe Hollombe, Technical Evangelist, Amazon Web Services

    Amazon SageMaker is a fully managed service that enables data scientists and developers to quickly and easily build, train, and deploy ML models at scale with zero setup. It significantly decreases your training time and the overall cost of building production ML systems. In this session, we describe the features of Amazon SageMaker, including the one-click training environment and highly optimized ML algorithms with built-in model tuning, and we show you how to deploy ML models at scale without engineering effort.

    Speaker: Jan Haak, Global Solution Architect, Amazon Web Services

    AWS offers a family of AI services that provides cloud-native machine learning and deep learning technologies. These AWS services enable developers to build an entirely new generation of apps that can hear, speak, understand, and converse with application users. In this session, we review Amazon Polly and Amazon Lex, and we explore how to use them to build intelligent chatbots across social media, websites, and kiosks.

    Speaker: Atanu Roy, AI Specialist Solution Architect, Amazon Internet Services Private Limited

  • Internet of Things

    In this session, we explain why AWS customers are investing in IoT and how they are driving business outcomes with it. We share a few examples to illustrate what type of IoT solutions customers are deploying on AWS and what their business outcomes look like. We describe our portfolio of IoT services to demonstrate how AWS is helping them. Finally, we share lessons learned and guidelines developed to deploy IoT projects successfully.

    Speaker: Michael Garcia, Senior IoT Technical Program Manager, Amazon Web Services

    AWS IoT Core is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices. The IoT device landscape ranges from highly constrained sensor nodes to industrial gateways with a large amount of processing power. In this session, we discuss the different SDKs, edge computing software, and real-time operating systems you can use to seamlessly connect a wide array of devices to the AWS IoT Core. Learn how easy it is to develop and deploy a program on an ESP32 microcontroller running Amazon FreeRTOS, and leave this session understanding the different ways you can connect your devices to the AWS IoT Core.

    Speaker: Simith Nambiar, Partner Solution Architect - IoT, Amazon Web Services

    In this session, we discuss how our customers are leveraging AWS Greengrass to build intelligent and autonomous IoT applications to address business challenges. We also explore the common use cases evolving with the Industry 4.0 revolution.

    Speaker: Kapil Pendse, Partner Solution Architect, Amazon Web Services

    You are done with your IoT prototype. Now it is time to start scaling and producing your devices. What does that imply for your manufacturing needs and your operations? In this session, we cover the complexities of manufacturing your devices in large quantities and the tools that are available for you to manage and onboard your devices at scale via the AWS IoT Device Management service. We also cover the importance of security management at scale via proper certificate onboarding as well as auditing and monitoring with AWS IoT Device Defender. Finally, we make sense of the data coming from your fleet of devices by discussing AWS IoT Analytics.

    Speaker: Tim Cruse, IoT Solution Architect, Amazon Web Services

    In this hands-on session, we review what we covered in the previous four sessions, and we build a business leveraging the AWS IoT suite of services to drive successful business outcomes. We will build and onboard a water dispenser device, and we will make sense of the data coming from these devices using AWS IoT Analytics to solve business challenges.

    Tim Cruse, IoT Solution Architect, Amazon Web Services
    Michael Garcia, Senior IoT Technical Program Manager, Amazon Web Services

  • Build on AWS I

    AWS Cloud9 is a cloud-based IDE that enables you to write, run, and debug your code directly in a browser. Together with AWS CodeStar, AWS Cloud9 gets developers up and running quickly with a full CI/CD deployment pipeline, team collaboration, local debugging, and fast, iterative development. In this session, we present the key features provided by AWS Cloud9 and its integration with other AWS services, such as AWS CodeStar and AWS Lambda. We also demonstrate how AWS Cloud9 simplifies the development of serverless applications.

    Speaker: Rohini Gaonkar, Solutions Architect, Amazon Internet Services Private Limited

    AWS Fargate is a technology for Amazon ECS and Amazon EKS that enables you to run containers without having to manage servers or clusters. In this session, we share the history of our container offerings and explain how AWS Fargate removes the requirement of choosing server types, deciding when to scale your clusters, or deciding how to optimize cluster packing. We also cover how AWS Fargate removes the undifferentiated heavy lifting of managing infrastructure and enables you to focus on designing and building your containerized applications. Finally, we demonstrate how easy it is to get started with AWS Fargate, and we discuss its key features, including networking, integrating with load balancers, security, and monitoring.

    Speaker: Santanu Dutt, Senior Solution Architect Manager, Amazon Web Services

    When you build microservices on AWS, you have a wide-range of options for compute, monitoring, logging, and deployment. In this session, we walk through what it takes to build, deploy, and manage a microservices-based application using different compute options. We cover application packaging, tooling, service discovery, monitoring, logging, and CI/CD.

    Speaker: Gaurav Jagavkar, Solution Architect, Amazon Internet Services Private Limited

    It's 2018, and security can no longer be considered in isolation. In this session, learn how the AWS serverless platform, once the realm of architects and developers, can augment traditional security services to not only put the “Dev” in DevSecOps, but enable you to create a self-defending architecture that dynamically responds to the threats facing your online assets.

    Speaker: Shane Baldacchino, Solution Architect, Amazon Web Services

    In this session, learn how to leverage serverless architectures to increase the speed at which you release products, services, and features to your customers. Learn how to define serverless applications with the AWS Serverless Application Model (AWS SAM), and how to use the AWS SAM Local CLI tool to author, test, and debug serverless applications locally, before you deploy to AWS. We discuss how to safely deploy changes to your AWS Lambda functions and Amazon API Gateway APIs using automated canary deployments. Finally, we cover best practices for your deployment workflows specific to serverless applications.

    Speaker: Gerardo Estaba, Senior Solution Architect, Amazon Web Services

  • Build on AWS II

    In this session, explore how to implement security best practices to stay secure while moving fast. We focus on the five core security epics of the AWS Cloud Adoption Framework and examine the top three best practices for identity access management, logging and monitoring, infrastructure security, data protection, and incident response. We conclude by reviewing common sources of best practices for builders, enabling them to dive deeper and continually improve their security posture over time.

    Speaker: Myles Hosford, Principal Security Architect, Amazon Web Services

    If you are working across multiple AWS accounts when building out CI/CD pipelines, what issues will you face? Should you use one deployment pipeline per account or per microservice? In this session, we will explore best practices for managing continuous delivery in complex environments and provide you with options to select the best patterns for your architecture.

    Speaker: Anand Iyer, Enterprise Solution Architect, Amazon Internet Services Private Limited

    Progressive web apps (PWAs) are the future of web development—combining the best of web and native apps. In this session, learn how to build PWAs on AWS and take your apps to the next level with AWS AppSync. We also cover how AWS AppSync enables you to query your data using GraphQL, and how it handles mutations, subscriptions, offline accesses, real-time communications, conflict resolution, and efficient data fetching.

    Speaker: Ed Lima, Solution Architect, Amazon Web Services

    Customer experience is one of the most important strategic measurements for customer satisfaction, but keeping pace with customer behavior can be challenging. Chatbots provide one of the largest areas for growth and opportunities to drive new customer experiences. Coupled with Amazon Connect—an easy-to-use, cloud-based contact center service—organizations can create new omni-channel experiences that engage customers in new and better ways. In this session, we show you how to quickly set up an Amazon Connect contact center. We also show you how to use Amazon Lex to build intelligent conversational chatbots and integrate them with your contact center workflows, enabling you to offer a personalized and dynamic caller experience.

    Speaker: Stefan Buchman, Solution Architect, Amazon Web Services

    Are you building mobile apps on iOS or Android with React Native? The open source AWS Amplify tool helps developers quickly add authentication, APIs, storage, caching, and analytics to apps using a declarative programming style. In this session, we cover how to build a mobile app for iOS and Android using AWS Mobile Hub, AWS Amplify, and React Native. We also share some framework-specific techniques, such as leveraging higher -order components (HOCs) in a React or React Native application, as well as best practices and utilities from AWS Mobile Hub.

    Speaker: Tapan Hoskeri, Solution Architect, Amazon Internet Servies Private Limited

  • Building Practices with AWS

    Migrating your traditional software to the cloud may seem easy at first, but you quickly learn that the migration process requires a number of considerations and raises multiple questions. In this session, learn the essential steps to replatforming to AWS. Also learn how to set up your landing zone, migrate your database, and rehost your application layer. Finally, hear about the APN programs available to help you accelerate your journey from proof-of-concept to product.

    Speaker: Sarathkumar Vancheeswaran, Migration Partner Solution Architect, Amazon Web Services

    With the SaaS (Software as a Service) segment growing at an average of 24% year over year, your customers are increasingly expecting to consume software as service. In this session, you will learn how partner SaaS delivery accelerates customer adoption helping you go global, how to use the AWS SaaS reference architecture to implement best practices and how you can leverage AWS programs to help you achieve success during your journey.

    Speaker: Adrian De Luca, Head of Partner Solution Architect, Amazon Web Services

    In this session, we discuss how partners can build scalable migration practices with AWS. We share how to discover, group, prioritize, and strategize application for migration. We also cover processes, tools, and best practices for partners to help customers accelerate the planning phase of their cloud adoption journey.

    Speaker: Ahilan Thiagarajah, Partner Solution Architect, Amazon Web Services

    So you can get the most value from your data, AWS provides the most comprehensive, secure, scalable, and cost-effective portfolio of services that enables you to build your data lake in the cloud. These services also enable you to analyze all of your data—including data from IoT devices—with a variety of analytical approaches, such as ML. Many partners want to expand their competency to include building a big data and analytics practice with AWS, and this session outlines five steps they can take to establish this.

    Speaker: David McAmis, Partner Solution Architect, Amazon Web Services

    Globally, partners are investing in building Managed Service Provider (MSP) practices. With a $22B market, adding an MSP capability to your business should be compelling. In this session, we outline the key items to consider when establishing an MSP practice, and we cover the fundamental processes and steps required to successfully launch an AWS MSP solution.

    Speaker: David Lim, Head of Consulting Partners, Amazon Web Services

  • Build Your Own Architecture

    The first step in building your VOD solution is setting up the secure AWS landing zone. In this session, learn how to deploy a preconfigured, secure AWS environment into which to migrate your data and raw video content. Then, learn how to ingest your data into AWS by leveraging Amazon S3 Transfer Acceleration, AWS Direct Connect, and AWS Storage Gateway. We also cover how to use AWS Snowball and AWS Snowmobile to migrate or transport exabyte-scale datasets into AWS.

    Girish Nesaratnam, Migration Success Consultant, Amazon Web Services, Professional Services
    Peter Stanski, Solution Architect Manager, Amazon Web Services

    Once you have your raw video content in the cloud, the next step is to transcode it into a format by which users can consume it. In this session, we describe how to automate this process using a combination of AWS Step Functions, AWS Lambda, and AWS Elemental MediaConvert. We also discuss the importance of metadata for cataloging and managing content within the VOD solution.

    Jarrod Spiga, Solution Architect , Amazon Web Services
    Shaun Ray, Evangelist Manager, Amazon Web Services

    Join us as we review the key architectural components required to deliver a world-class content discovery and playback interface. We cover the main AWS components that you can use to deliver a secure, fast, and highly available solution that includes CDN, APIs, data storage, payments, content licensing, and key material storage.

    Rob Carr, Solution Architect , Amazon Web Services
    Shaun Ray, Evangelist Manager, Amazon Web Services

    In this session, discover how machine learning services can be applied to media—from computer vision to natural language analysis—and learn how to extract key metadata for search. We also cover how you can use Amazon SageMaker to provide content recommendations to users.

    Steve Shirkey, Solution Architect , Amazon Web Services
    Shaun Ray, Evangelist Manager, Amazon Web Services

    In this session, learn how to incorporate real-time analytics of streaming data to bring smarts to your media player. Also learn how to use the Amazon Kinesis family of services to ingest, analyze, and deliver streaming data to drive actionable insights and visualizations. Lastly, learn how to use Amazon Redshift, Amazon QuickSight, and Amazon Athena to dive deep and explore your data.

    Tom McMeekin, Solution Architect , Amazon Web Services
    Peter Stanski, Solution Architect Manager, Amazon Web Services

    With your business now set up and customers coming in, it is time for the next step. We need to reach a global audience, and to do that, we are going to go global. In this session, learn how to deploy into multiple regions at scale, learn which parts of your technology you will need to upgrade, and understand how to ensure that you have global resiliency.

    Shaun Ray, Evangelist Manager, Amazon Web Services
    Peter Stanski, Solution Architect Manager, Amazon Web Services

    AWS currently offers a breadth of training options both led by AWS and through community-driven training platforms. In this session, we dive into the different training resources available and discuss how these solutions complement one another to help you become an AWS expert.

    Speaker: Denny Daniel, Head of Training and Certification, Amazon Web Services

  • Live Coding

    In this session, learn how to design, build, and deploy the @WhereML Twitter bot, which can identify where in the world a picture was taken using only the pixels in the image. We dive deep into artificial intelligence and deep learning with the MXNet framework, and we explore the Twitter Account Activity API.

    Speaker: Randall Hunt, Technical Evangelist, Amazon Web Services

    Amazon SageMaker lets developers and data scientists train and deploy Machine Learning models at any scale without having to manage any infrastructure. In this talk, we will show you how to use Keras – a popular open source library for Deep Learning – with Amazon SageMaker. After a quick introduction to Keras, we will first look at configuring Keras for Apache MXNet and multi-GPU training. Then, we will look at the simple changes required to interface existing Keras code with SageMaker. Finally, we will build a custom container and we will use it to train our model

    Speaker: Julien Simon, Principal Evangelist, ML/AI, Amazon Web Services [EMEA]

    In this session, we build a web app to interact with a simple event management GraphQL API, enabling you to create accounts, sign in, and view or create new events. We also cover the basics of using React to render a web app, AWS Mobile Hub to provision and manage cloud resources, and AWS AppSync to host a secure and scalable GraphQL endpoint on AWS. Amazon Cognito handles our authentication, and we use Amazon DynamoDB as a NoSQL data store for the API.

    Gabe Hollombe, Technical Evangelist, Amazon Web Services [APAC & EMEA]
    Chris Munns, Senior Developer Advocate - Serverless, Amazon Web Services [AMERICAS]

  • Closing Remarks

    Customer experiences and the way we build software is changing rapidly: virtual and real worlds are merging and we have new ways to interface with computer systems with voice, vision and gestures. Effective and agile build methodologies and services are key and data and machine learning is core. The rapid expansion of ecosystems and cloud computing are driving the pace of innovation at an incredible speed, with rapid growth in cloud-connected systems and edge devices. So, in this fast-paced, complex world, what are the strategies and techniques that builders can use to develop faster, create reliable applications even with intermittent connectivity and create complete new experiences using machine learning and augmented reality. Join us at the closing remarks to see a live demo of these innovation accelerators and hear from our Experts Dean and Olivier what to focus on next.

    Olivier Klein, Head of Emerging Technologies, AWS
    Dean Samuels, Solution Architect Manager, AWS