AWS re:Invent 2018

Voice is a natural interface to interact not just with the world around us, but also with physical assets and things, such as connected home devices, including lights, thermostats, or TVs. In this session, we discuss how you can connect and control devices in your home using the AWS IoT platform and Alexa Skills Kit. We also hear from customer, VIZIO, on how they are using AWS IoT and Alexa to bring a voice-controlled television experience to their hundreds of thousands of customers.

The overwhelming majority of today's industrial machines is not internet-ready. This is because many industrial machines lack connectivity or have proprietary or industry-specific interfaces. The value of these machines is in their access to data and metadata that can be used to unlock new business opportunities. In this session, we provide a detailed view into how to use AWS Greengrass and AWS Lambda to connect machines with industrial interfaces, such as OPC UA, Modbus, Ethernet/IP, and EuroMap63. We also walk you through a demonstration and show you how to connect to industrial machines and provide data and metadata at the edge and in the cloud.

The IoT transformation begins at home. Today, device manufacturers and network providers are building groundbreaking connected devices and applications to make your home smarter. In this session, we dive into the best practices and common patterns for building connected devices and applications for a Smart Home. This session focuses on securely onboarding your devices to a consumer's account, leveraging IoT, using ML at the edge, and video streaming for home security. By the end of the session, you'll have a set of best practices for how to build IoT products in the Smart Home. Also hear from Vestel about their smart home application.

AWS IoT Analytics makes it easy to run and operationalize sophisticated analytics on massive volumes of IoT data without having to worry about the cost and complexity required to build your own IoT analytics platform. It collects and prepares data for analysis and also lets you explore and visualize your IoT data so you can make better and more accurate business decisions. AWS IoT Analytics is a fully managed service that makes it easy to run and operationalize sophisticated analytics on massive volumes of IoT data without having to worry about the cost and complexity typically required to build an IoT analytics platform. It is the easiest way to run analytics on IoT data and get insights to make better and more accurate decisions for IoT applications and machine learning use cases. Models built and trained in AWS IoT Analytics can be run on connected devices. Join us for a deep dive and demo on how to operationalize your analytical workflows with AWS IoT Analytics.

With AWS Greengrass, you can bring local compute, messaging, data caching, sync, and machine-learning inference capabilities to edge devices. Join us in this session to learn about new features that extend the capabilities of AWS Greengrass devices.

AWS IoT services help you connect devices to AWS services and other devices, secure data, interactions, and process, act on device data, and enable applications to interact with devices, even when they are offline. In this session, we provide tips for using the portfolio to create applications faster and deploying applications at the edge. We show you how to save time when adding new kinds of devices to your applications.

In this session, we discuss the different ways to understand the state of your operations, how to use AWS IoT services, and how to take appropriate action using AWS IoT services, like the AWS IoT Rules Engine, to improve operational efficiency.

IoT (IIoT) bridges the gap between legacy industrial equipment and infrastructure and new technologies, such as machine learning, cloud, mobile, and edge computing. In this session, we focus on how you can extract data from your industrial data sources and build operational insights using AWS IoT services. We cover how to bridge traditional on-premises applications and data stores with new cloud-based IoT applications.

Your devices are being shipped across the globe. You have consumers who use their hardware across different countries. How can you build an IoT application that reflects the geographic reach of your devices? In this session, we walk you through the stages of going multi-region with AWS IoT. We first tackle common challenges around setting up your accounts and permissions for AWS IoT. We then dive into different modes of multi-region deployments using multiple AWS services. We also cover the nuances of moving devices across locations and how you can plan, monitor, and execute on your IoT application. Throughout this session, we dive into code and architectures that show the good, the bad, and the ugly of multi-region deployments in IoT, and we share how best to tackle them on day 1 as you take your applications global. We also highlight a customer example from Analog Devices.

In this session, learn our vision for continued innovation in the life sciences industry and how AWS services can help. Gain insight into the key cloud computing trends for biotechnology, pharmaceutical, and medical device companies. Hear how you can use the AWS cloud to accelerate research, modernize clinical trials, build smarter manufacturing processes, and create deeper partnerships with healthcare providers and payers through real world evidence and digital therapeutics.