AWS Announces a Slew of New IoT Services; Brings Machine Learning to the Edge
AWS IoT 1-Click, AWS IoT Device Management, AWS IoT Device Defender, and AWS IoT Analytics allow customers to onboard, manage, protect, and perform analytics on large fleets of IoT devices
Amazon FreeRTOS extends the most popular open source embedded operating system for devices with very low computing power to support simple, secure connectivity to the AWS Cloud
Greengrass ML Inference lets customers run machine learning on AWS Greengrass devices; preview starts today
SEATTLE--(BUSINESS WIRE)--Nov. 29, 2017-- Today at AWS re:Invent, Amazon Web Services, Inc. (AWS), an Amazon.com company (NASDAQ: AMZN), announced six significant services and capabilities for connected devices at the edge. AWS IoT 1-Click, AWS IoT Device Management, AWS IoT Device Defender, AWS IoT Analytics, Amazon FreeRTOS, and AWS Greengrass ML Inference make getting started with IoT as easy as one click, enable customers to rapidly onboard and easily manage large fleets of devices, audit and enforce consistent security policies, and analyze IoT device data at scale. Amazon FreeRTOS is an operating system that extends the rich functionality of AWS IoT to devices with very low computing power, such as lightbulbs, smoke detectors, and conveyor belts. And, AWS Greengrass ML Inference is a new capability for AWS Greengrass that allows machine learning models to be deployed directly to devices, where they can run machine learning inference to make decisions quickly, even when devices are not connected to the cloud. To get started, visit: https://aws.amazon.com/iot
The explosive growth in the number and diversity of connected devices has led to equally explosive growth in the number and scale of IoT applications. Today, many of the world's largest IoT implementations run on AWS, and the next phase of IoT is all about scale as we'll see customers exponentially expand their fleet of connected devices, said Dirk Didascalou, VP IoT, AWS. These new AWS IoT services will allow customers to simply and quickly operationalize, secure, and scale entire fleets of devices, and then act on the large volumes of data they generate with new analytics capabilities specifically designed for IoT. With Amazon FreeRTOS, we're making it easy for customers to bring AWS IoT functionality to countless numbers of small, microcontroller-based devices. And, customers have also told us they want to execute machine learning models on the connected devices themselves, so we're excited to deliver that with AWS Greengrass ML Inference.
AWS IoT 1-Click: the easiest way to get started with AWS IoT (available in preview)
When considering IoT, many customers just want an easy way to get started by enabling devices to perform simple functions. These are functions like single-button devices that call technical support, reorder goods and services, or track asset locations. With AWS IoT 1-Click, enabling a device with an AWS Lambda function is as easy as downloading the mobile app, registering and selecting an AWS IoT 1-Click enabled device, and - with a single click - associating an AWS Lambda function. AWS IoT 1-Click comes with pre-built AWS Lambda code for common actions like sending an SMS or email. Customers can also easily author and upload any other Lambda function.
iRemedy is a healthcare e-commerce marketplace where healthcare consumers can buy medical supplies, drugs, devices, and technologies. Back in August, we announced our plan to deploy 500 iRemedy NOW Internet of Things (IoT) buttons to our healthcare providers clients. Our customers simply click the button to order medical supplies and drug samples, or to request a call back from our service center, said Tony Paquin, Co-Founder, President and CEO, iRemedy. The buttons are easy to use and drive down supply chain costs for our customers. AWS IoT 1-Click provides a fast and easy way to deploy more buttons, expand the types of actions we perform when the button is triggered, and also create simple reports.
New AWS IoT services for managing, securing, and analyzing the data generated by large fleets of devices
At scale, IoT solutions can grow to billions of connected devices. Today, this requires customers to spend time onboarding and organizing devices, and even more time integrating multiple systems to manage tasks like monitoring, security, auditing, and updates. Building solutions for such tasks is time consuming and easy to get wrong, and integrating third party solutions is complex and may introduce hard-to-detect gaps in security and compliance. Once a device fleet is operationalized, analytics is often the next challenge customers face. IoT data isn't the highly structured information that most existing analytics tools are designed to process. Real-world IoT data frequently has significant gaps, corrupted messages, and false readings, resulting in the need for customers to either build custom IoT analytics solutions, or integrate solutions from third parties. AWS IoT Device Management and AWS IoT Device Defender simplify onboarding, managing, and securing fleets of IoT devices, while AWS IoT Analytics makes it easy to run sophisticated analytics on the data generated by devices.
AWS IoT Device Management (available today) makes it easy to securely onboard, organize, monitor, and remotely manage IoT devices at scale throughout their lifecycle-from initial setup, through software updates, to retirement. Getting started is easy; customers simply log into the AWS IoT Console to register devices, individually or in bulk, and then upload attributes, certificates, and access policies. Once devices are in service, AWS IoT Device Management allows customers to easily group and track devices, quickly find any device in near real-time, troubleshoot device functionality, remotely up
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AWS Announces a Slew of New IoT Services; Brings Machine Learning to the Edge 
