Amazon has considerable experience with the Internet of Things (IoT). Its Echo connected smart speakers have made their way into millions of homes, bringing with them Alexa, the company’s virtual assistant, along with a host of intelligent, voice-enabled services. Now, the cloud-computing giant wants to help other enterprises harness the IoT’s potential. During the AWS […]
Datamation content and product recommendations are
editorially independent. We may make money when you click on links
to our partners.
Learn More
Amazon has considerable experience with the Internet of Things (IoT). Its Echo connected smart speakers have made their way into millions of homes, bringing with them Alexa, the company’s virtual assistant, along with a host of intelligent, voice-enabled services.
Now, the cloud-computing giant wants to help other enterprises harness the IoT’s potential.
During the AWS (Amazon Web Services) Re:Invent conference in Las Vegas this week, the company unveiled new IoT services and software aimed at helping businesses securely deploy device fleets, manage their “things” and draw potentially business-enhancing insights from the data they produce.
First up is AWS IoT Device Management, a cloud service that provides device onboarding, monitoring and remote management. To help keep those devices secure, the cloud provider announced AWS IoT Device Defender. The forthcoming solution will have continuous auditing capabilities along with real-time detection and alerting features that let users know if their IoT devices are exhibiting unusual or suspicious behavior. AWS IoT Device Defender will also include investigation and mitigation tools that help businesses recover from suspected attacks.
Also on deck is Amazon FreeRTOS. As an extension of the open-source FreeRTOS (Real Time Operating System) kernel, this IoT microcontroller operating system provides secure data processing, local and cloud connectivity, and over-the-air updates in the near future.
Finally, Amazon wants enterprises to put their IoT data to good use with a new service called AWS IoT Analytics.
“AWS IoT Analytics is a fully managed service of AWS IoT that provides advanced data analysis of data collected from your IoT devices. With the AWS IoT Analytics service, you can process messages, gather and store large amounts of device data, as well as, query your data,” explained Tara Walker, technical evangelist at AWS, in a blog post.
“Also, the new AWS IoT Analytics service feature integrates with Amazon Quicksight for visualization of your data and brings the power of machine learning through integration with Jupyter Notebooks,” continued Walker.
Alexa Suits Up for Work
Alexa is Amazon’s posterchild for IoT-enabled smart services. Millions of households are using the devices and apps featuring the virtual assistant to power their smart homes, reorder groceries, request Uber rides and much more.
Understandably, security- and privacy-conscious businesses have been reluctant to allow this consumer-friendly technology into their workplaces, despite Alexa’s productivity-enhancing capabilities. To remedy this, Amazon launched Alexa for Business.
The Alexa for Business dashboard allows administrators to provision shared Alexa devices and manage their skills and users. They can also set up Alexa for conference rooms, allowing meeting attendees to dial-in to teleconferences using an Echo or activate compatible conferencing equipment. Businesses can also create their own Alexa skills to automate tasks and customize their deployments.
On personal devices managed by Alexa for Business, end users can place hands-free calls and manage their calendars. Users can also look up information on connected applications like Salesforce or Splunk, among a variety of other work-related tasks.
Pedro Hernandez is a contributing editor at Datamation. Follow him on Twitter @ecoINSITE.
-
Huawei’s AI Update: Things Are Moving Faster Than We Think
FEATURE | By Rob Enderle,
December 04, 2020
-
Keeping Machine Learning Algorithms Honest in the ‘Ethics-First’ Era
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 18, 2020
-
Key Trends in Chatbots and RPA
FEATURE | By Guest Author,
November 10, 2020
-
Top 10 AIOps Companies
FEATURE | By Samuel Greengard,
November 05, 2020
-
What is Text Analysis?
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 02, 2020
-
How Intel’s Work With Autonomous Cars Could Redefine General Purpose AI
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 29, 2020
-
Dell Technologies World: Weaving Together Human And Machine Interaction For AI And Robotics
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 23, 2020
-
The Super Moderator, or How IBM Project Debater Could Save Social Media
FEATURE | By Rob Enderle,
October 16, 2020
-
Top 10 Chatbot Platforms
FEATURE | By Cynthia Harvey,
October 07, 2020
-
Finding a Career Path in AI
ARTIFICIAL INTELLIGENCE | By Guest Author,
October 05, 2020
-
CIOs Discuss the Promise of AI and Data Science
FEATURE | By Guest Author,
September 25, 2020
-
Microsoft Is Building An AI Product That Could Predict The Future
FEATURE | By Rob Enderle,
September 25, 2020
-
Top 10 Machine Learning Companies 2020
FEATURE | By Cynthia Harvey,
September 22, 2020
-
NVIDIA and ARM: Massively Changing The AI Landscape
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
September 18, 2020
-
Continuous Intelligence: Expert Discussion [Video and Podcast]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 14, 2020
-
Artificial Intelligence: Governance and Ethics [Video]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 13, 2020
-
IBM Watson At The US Open: Showcasing The Power Of A Mature Enterprise-Class AI
FEATURE | By Rob Enderle,
September 11, 2020
-
Artificial Intelligence: Perception vs. Reality
FEATURE | By James Maguire,
September 09, 2020
-
Anticipating The Coming Wave Of AI Enhanced PCs
FEATURE | By Rob Enderle,
September 05, 2020
-
The Critical Nature Of IBM’s NLP (Natural Language Processing) Effort
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
August 14, 2020
SEE ALL
ARTICLES