SEATTLE–(BUSINESS WIRE^[1])–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^[2]

“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
  update device software, and remotely reboot, reset, patch, and restore
  devices to factory settings, reducing the cost and effort of managing
  large IoT device deployments.
• AWS IoT Device Defender (coming in the first half of 2018)
  continuously audits security policies associated with devices to make
  sure that they aren’t deviating from security best practices, and
  alerting customers when non-compliant devices are detected. AWS IoT
  Device Defender also monitors the activities of fleets of devices,
  identifying abnormal behavior that might indicate a potential security
  issue. For example, a customer can use AWS IoT Device Defender to
  define which ports should be open on a device, where the device should
  connect from, and how much data the device should send or receive. AWS
  IoT Device Defender then monitors device traffic and alerts customers
  when anomalies are detected, like traffic from a device to an unknown
  IP address.
• AWS IoT Analytics (available in preview) is a fully managed
  analytics service that cleans, processes, stores, and analyzes IoT
  device data at scale. Getting started is easy: customers simply
  identify the device data they wish to analyze, and they can optionally
  choose to enrich the device data with IoT-specific metadata, such as
  device type and location, by using the AWS IoT Device Registry and
  other public data sources. AWS IoT Analytics also has features for
  more sophisticated analytics, like statistical inference, enabling
  customers to understand the performance of devices, predict device
  failure, and perform time-series analysis. And, by using Amazon
  QuickSight in conjunction with IoT Analytics, it is easy for customers
  to surface insights in easy-to-build visualizations and dashboards.

At Philips Healthcare, the focus is to look beyond technology to the
experiences of consumers, patients, providers, and caregivers across the
health continuum. “We’re launching new health IoT services that we
believe will dramatically improve our scale and capabilities. Part of
the Philips solution involves managing connected devices that doctors
and hospitals will rely on so they can deliver first class healthcare
services,” said Dale Wiggins, Vice President and General Manager,
Philips HealthSuite Digital Platform. “We chose AWS IoT services to
ensure we can meet our customers’ scale and reliability requirements. We
have expanded these services to ensure that data from these devices is
appropriately routed, devices are updated to the latest firmware, and
are monitored to ensure they function properly in the field. Using AWS
IoT Device Management, we were able to quickly develop the capabilities
we need in the market.”

Best known for its GPS technology, Trimble integrates a wide range of
positioning technologies including GPS, laser, optical, and inertial
technologies with application software, wireless communications, and
services to provide complete commercial solutions. “Trimble’s commercial
solutions are used in over 150 countries around the world, and we use
AWS IoT as a gateway for our next-gen IoT devices,” said Jim Coleman,
Senior Engineer, Trimble. “AWS IoT Device Management has helped
streamline our device onboarding, which has enabled us to meet our
planned production throughput for connected devices. With AWS doing the
undifferentiated heavy lifting for our IoT platform, we can spend more
time on our customers than on our infrastructure.”

iDevices is making IoT accessible to everyone in the smart home industry
with its line of Wi-Fi and Bluetooth-enabled products. “The IoT
analytics game is a race from raw data to actionable insights. Everyone
has data, but it’s the insights from that data that are of real value to
our customers,” said Eric Ferguson, Chief Software Architect, iDevices.
“The tools provided by AWS IoT Analytics to ingest, filter, transform,
and analyze our data sources cut out a lot of the undifferentiated heavy
lifting for our team, enabling them to focus on the enrichment
activities in the pipeline and the downstream machine learning models,
rather than the mechanics of the pipeline itself. This gets us to the
insights we need with much less effort and allows us to really focus on
market differentiation.”

iRobot is a global consumer robotics company that designs and builds
robots for use inside and outside the home. “At iRobot, we rely on IoT
services because connecting robots to the Internet to help them do more
and better things is key to how we innovate,” said Ben Kehoe, Cloud
Robotics Research Scientist, iRobot. “With AWS IoT Analytics, we gain
insights into our IoT data about device performance and usage patterns
so we can empower our customers to do more both inside and outside of
the home.”

Valmet is a leading global developer and supplier of technologies,
automation, and services for the pulp, paper, and energy industries.
“Valmet is building industry leading Industrial Internet solutions for
pulp, paper, and energy customers, and we are using the AWS cloud
environment as part of our platform,” said Juha-Pekka Helminen,
Director, Valmet Digital Ecosystem. “AWS is continuously improving and
adding tools into their portfolio. We look forward to utilizing the new
AWS IoT Analytics service for our customers’ benefit.”

Amazon FreeRTOS lets customers easily and securely connect small,
low-power devices to the cloud

Today, countless devices are already capable of connecting to the cloud,
and the number continues to grow dramatically. Many of these devices
contain enough onboard computing power (CPU) to take advantage of AWS
IoT services. However, a large number of other devices—from lightbulbs
and conveyer belts to motion detectors—aren’t big enough to house a CPU
and possess a microcontroller (MCU) instead. The most popular operating
system used for these devices is FreeRTOS, an open source operating
system for microcontrollers that allows them to perform simple tasks.
FreeRTOS wasn’t designed specifically for IoT, so it lacks functionality
to help devices connect securely to the cloud.

Amazon FreeRTOS extends FreeRTOS with software libraries that make it
easy to securely connect small, low-power devices to AWS cloud services
like AWS IoT Core, or to more powerful edge devices and gateways running
AWS Greengrass (a software module that resides inside devices and gives
customers the same Lambda programming model as exists within the AWS
Cloud). With Amazon FreeRTOS, developers can easily build devices with
common IoT capabilities, including networking, over-the-air software
updates, encryption, and certificate handling. Developers can use the
Amazon FreeRTOS console to configure and download Amazon FreeRTOS, or go
to FreeRTOS.org^[3]
or GitHub. Several microcontroller manufacturers and AWS Partner Network
(APN) Partners support Amazon FreeRTOS, including Microchip, NXP
Semiconductors, STMicroelectronics, Texas Instruments, Arm, IAR,
Percepio, and WITTENSTEIN.

Arm defines the pervasive computing shaping today’s connected world.
Realized in more than 100 billion silicon chips, Arm architecture is the
de-facto standard for embedded applications. “As we’ve seen the
Arm-based microcontroller ecosystem grow over recent years, FreeRTOS has
played a key role in enabling embedded developers,” said Rene Haas, EVP
and President, IP Products Group (IPG), Arm. “We are pleased to see AWS
extend the FreeRTOS kernel with increased connectivity, while adding
additional security features. Amazon FreeRTOS running on Arm-based
processors is an important milestone toward improving hardware,
software, and networking security for the industry.”

Allegion is a provider of security products for homes and businesses.
“Amazon FreeRTOS makes it easier for Allegion to rapidly innovate new
features for our connected products, such as our Schlage electronic
locks, and to move easily between hardware platforms,” said Todd Graves,
Senior Vice President of Engineering and Technology, Allegion. “We can
focus on our core strengths, developing innovative safety and security
products, knowing that Amazon FreeRTOS will make integration reliable
and predictable.”

Hive (Centrica Connected Home) is a market leader in connected home
products that helps its customers manage their energy usage in the UK,
Ireland, and North America. “Amazon FreeRTOS is an exciting leap forward
for our business and our customers,” said Seb Chakraborty, CTO, Hive
(Centrica Connected Home). “Dev teams can now focus their energy on the
application and not the plumbing, messaging or security. Instead, they
choose the board, the chip, and connect to AWS IoT seamlessly.”

New AWS Greengrass feature brings machine learning to the edge (available
in preview)

AWS Greengrass ML Inference is a new feature of AWS Greengrass that lets
application developers add machine learning to their devices, without
requiring special machine learning skills. IoT devices frequently
collect and forward large quantities of data, which can be used to
automate real-time decision making through machine learning. To do this,
customers build, train, and run machine learning on their IoT data in
the cloud. However, some applications are highly latency sensitive and
require the ability to make decisions without relying on always-on
network connectivity. With AWS Greengrass ML Inference, devices can run
machine learning models to perform inference locally, get results, and
then make smart decisions quickly, even when they’re not connected.
Using Amazon SageMaker, or any machine learning framework, customers
build and train their machine learning models in the cloud and then –
with just a few clicks – use the AWS Greengrass console to transfer the
models to devices they select.

About Amazon Web Services

For more than 11 years, Amazon Web Services has been the world’s most
comprehensive and broadly adopted cloud platform. AWS offers over 100
fully featured services for compute, storage, databases, networking,
analytics, machine learning and artificial intelligence (AI), Internet
of Things (IoT), mobile, security, hybrid, and application development,
deployment, and management from 44 Availability Zones (AZs) across 16
geographic regions in the U.S., Australia, Brazil, Canada, China,
Germany, India, Ireland, Japan, Korea, Singapore, and the UK. AWS
services are trusted by millions of active customers around the
world—including the fastest-growing startups, largest enterprises, and
leading government agencies—to power their infrastructure, make them
more agile, and lower costs. To learn more about AWS, visit https://aws.amazon.com^[4].

About Amazon

Amazon is guided by four principles: customer obsession rather than
competitor focus, passion for invention, commitment to operational
excellence, and long-term thinking. Customer reviews, 1-Click shopping,
personalized recommendations, Prime, Fulfillment by Amazon, AWS, Kindle
Direct Publishing, Kindle, Fire tablets, Fire TV, Amazon Echo, and Alexa
are some of the products and services pioneered by Amazon. For more
information, visit www.amazon.com/about^[5]
and follow @AmazonNews.

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