Information on IoT session scheduled to be held at AWS Re: Invent 2018 | Amazon Web Services Blog

AWS Re: INVENT 2018 is only a little more!I would like to introduce the IoT session so that I do not miss the IoT session when making a schedule.This year, there are many wonderful sessions related to IoT services, such as cases of industrial and connected home, more than 100 breakout sessions, workshops, and more deeply technical sessions.not.This year's Re: INVENT is also planning AWS IoT's PUB CRAWL, where you can enjoy snacks and drinks with ARIA with ARIA Expert from 11/27 (Tue) 6:00 PM.

AWS IoT VP, Dirk Didascalou's AWS IoT leadership session, and AIOT: AI MEETS IoT by AWS IoT GM Sarah Cooper and Distinguished Engineer James Gosling.The following sessions are also a highlight session of this year, so please take a look when you schedule a session.Please refer to Re: INVENT session catalog for all sessions list because it cannot be introduced here.

Industrial IoT session

Industrial IoT (IIOT) fills the gap between legacy industrial equipment and infrastructure and new technology, machine learning, cloud, mobile, and edge computing.IIOT optimizes the operation of these legacy things by customer to improve productivity and efficiency.By using the IIOT application, you can predict quality and maintenance and realize remote monitoring.You can participate in the following sessions and learn how to use AWS IoT with the IIOT application.

This session describes how to improve the productivity of the manufacturing process by combining IoT and AI technology, such as computer vision.It shows how to detect and control the environment of the environment using AWS IoT and Analytics.Finally, it shows how to quickly migrate from patrol -based models to notification -based models in replenishment scenarios.

At present, the overwhelming majority of industrial machinery has not been connected to the Internet.This is because it uses a unique or industry -specific interface to have a function to connect to many industrial machinery.The value of these industrial machinery lies in access to data and metadata that can be used to expand new business opportunities.This session explains in detail how to connect to industrial interfaces such as OPC UA, Modbus, Ethernet/IP, EUROMAP63 using AWS GreenGrass and AWS Lambda.In addition, we will introduce how to connect to an industrial machine and provide data and metadata to the edge and cloud.

In this workshop, industries 4.We provide 0 AI flows in a hands -on format.It is a collection of machine data, creating an AI model, and deploying it to the edge, and you will learn how to combine such a solution to a full -managed AWS IoT.First, use AWS Greengrass to connect to industrial machinery using industrial protocols (such as OPC UA).Next, create AI models with Amazon Sagemaker using AWS Analytics.Finally, deploy the model to the AWS Greengrass ML Inference and infer in the edge.

Industrial IoT applications are rapidly spreading to industries such as oil, gas, manufacturing, and agriculture.This session helps to design end -to -end solutions that provide value such as predictive maintenance, manufacturing quality, and process monitoring.This interactive session helps understand how to connect the infrastructure between AWS, green field and brown field, which utilizes both AWS Greengrass and other AWS Cloud services.In the session, it shows how to build an industrial application by incorporating AWS Industrial Iot Reference Architecture.

Connected home session

Connected home provides an automated environment by integrating devices and services, and improves consumer life.Connected home includes all the lighting that can be operated, a home cleaning robot, a security camera with machine learning, and a WiFi router for you for you.You can use AWS IoT for home automation, home security and monitoring, and home networking.For more information on how to use AWS IoT for the connected home application, please participate in the following sessions.

The sound is a natural interface, not just a conversation.It is an interface that can be used for interacting with physical devices such as connected home devices such as light, thermostat, and television.This session describes how to connect and control home devices using the AWS IoT platform and Alexa Skills Kit.We will hear about Vizio about providing hundreds of thousands of customers using AWS IoT and Alexa to provide hundreds of thousands of customers with audio -controlled TV experiences.

IoT transformation starts at home. Currently, device makers and network providers are building innovative connected devices and applications that make your house smart. This session describes the best practices for building connected devices and applications for smart home and general patterns. This session focuses on the device with the consumer account safely, the use of the IoT, the use of machine learning in the edge, and the video streaming for home security. At the end of the session, there is a best practices for building a smart home using IoT products. You can also hear about Vestel's smart home application.

How can I make the house more smarter?In this session, you will learn about general analysis cases at connected home.Participants will experience how to analyze connected homes using AWS IoT Analytics through hands -on.

AWS IoT Analytics, a full -managed service, makes it easier to operate and operate sophisticated analysis for a huge amount of IoT data.This session introduces how to use AWS IoT Analytics to incorporate environmental intelligence into the IoT workflow and extract valuable insights from the generated IoT data.In addition, while introducing specific examples, we will explain each service component, how to use it, and general best practices.

AWS IoT service session

The success of the IoT project is starting to appear depending on the type of business and projects.In this session, we will review advanced issues and review the most common solutions to the issues.This session describes the common phases and people required for the project, and the general guidelines for successful projects and organizations.PENTAIR's representative has taken the company's IoT project as an example of a case study.

The edge computing is not to bring computing power to the cloud, but to the data source side.The edge is the basic part of the IoT, not just connecting to the IoT to the Internet.This session describes how AWS Greengrass, an IoT edge software, can supply power to small and large devices from sensors to wind turbines.These IoT devices can use AWS GreenGrass to manage, analyze, and use it for highly durable storage, and safely collect data, synchronize device data, and communicate with each other.increase.If you want to know more about IoT edges, please join us.

Managing the security of IoT devices is the top priority of AWS.With AWS IoT Device Defender, you can check the best practices, change security settings, detect abnormal devices, and receive alerts to investigate problems.This session introduces how to use AWS IoT Device Defender to implement and maintain safe policies and controls, and keep data and devices safely.Understand how to identify an unusual device configuration and how to set a metric that can be used to detect DDOS and botnet attacks.It also describes how AWS IoT Device Defender is compatible with security alert in cooperation with AWS IoT Core and AWS IoT Device Management.

In many cases, the introduction of IoT consists of thousands to millions of devices in multiple places. A solution that tracks, monitor, and manage the connected devices is essential. In this session, you will learn how to use AWS IoT Device Management to support connected devices onboard, remote management, and monitoring. This session describes the main features of AWS Iot Device Management, including index creation and search, remote commands, OTA (over-the-AIR) updates, and device monitoring. With AWS IoT Device Management, you can learn how to increase the size of the device and reduce the cost and effort to manage the introduction of IoT devices. The representative of HUDL, a global leader in sports video analysis, uses the latest product HUDL Focus to discuss how high school recording and upload processes are being changed nationwide.

In this session, you will learn how to manage devices on board using AWS IoT Device Management and manage equipment that expands the scale.We will discuss the case of customer's use, provide demonstrations, and share the best practices to solve device management issues that may be facing.

In this session, we will look at the details of Amazon Freertos.In order to incorporate a lot of functions in cheap and small IoT devices, we face a series of issues and development that provide security vulnerabilities, inefficient code, compatibility issues, and unknown licenses.Using Amazon Freertos makes it easier to build, expand, and update connected microcontroller -based devices quickly and economically.

IoT applications are rapidly intelligent in any car, smart home device, or industrial applications.Edge computing not only collects and sends data, but also helps this change to perform predictive analysis and support local events without cloud connections.In this session, you will learn why ML inference in the edge is important and how to build intelligent IoT applications.Learn ML models in the cloud using AWS GreenGrass, deploy on AWS GreenGrass devices, access on -device computing power, and infer the data generated locally without connecting the model to the cloud.Learn about the method.

You can learn how you use AWS IoT Analytics.

With AWS IoT Analytics, you can easily perform sophisticated analysis for a huge amount of IoT data without worrying about the cost and complexity required to build your own IoT analytics platform. You can collect and prepare analysis data, explore IoT data, visualize, and make more accurate business decisions. AWS IoT Analytics makes it easy to execute and operate a sophisticated analysis for a huge amount of IoT data without worrying about the cost and complexity that is usually required to build an analysis platform for IoT. Complete management service. This is the easiest way to execute analysis for IoT data and get insights to determine the use case for IoT applications and machine learning more accurately. AWS IoT Analytics build and trained models can be executed on the connected device. Experience the deep dive and demonstration of how to operate the analysis workflow using AWS IoT Analytics.

Your devices are shipped around the world. And there are consumers who use hardware in different countries. How can I build an IoT application that reflects the geographical range of such a device? This session describes the stage of traveling to multi -region using AWS IoT. First, we are working on a common issue on the AWS IoT account and the setting of authority. Next, use multiple AWS services to develop multi -region in various modes. It also explains how to plan, monitor and execute IoT applications. In this session, we will introduce the code and architecture that shows the good, bad, ugly of IoT multi -region development. Share how to work first in accordance with the globalization of the application. We will also introduce the customer's case of Analog Devices.

If you want to know more about the IoT activity scheduled for Re: INVENT, download the Re: INVENT guide right now.

The translation was handled by SA Ichikawa.The original text is here.