Integrate AWS IOT with Evernote Business

This document explains how AWS IOT and Evernote Business can be integrated. It mainly focuses on the benefits of integrating these two things. And this is to give an overview about how they can be integrated.

In recent years, we have witnessed the rapid development in IT technpogy. Cloud computing and cloud storage are examples. As far as I know, AWS (Amazon Web Services. is a cloud service provider company. AWS has developed many services for cloud computing and cloud storage, like Amazon Simple Storage Service (Amazon S3), Amazon Simple Queue Service (Amazon SQS), Amazon DynamoDB, and so on. AWS IOT is a service that provides tops to help connect devices to the Internet. The goal of AWS IOT is to allow developers to more easily build and manage their own IoT sputions. With AWS IOT, developers can build applications that interact with connected devices, such as sensors or fitness bands.

AWS IOT has been introduced at re:Invent 2015. At this time, three core services are available for AWS IOT:

Evernote is a productivity top for business and personal use, designed for note taking, organizing, tasks management, archiving and searching notes. Users can also add images and audio clips to their notes. Evernote Business is a version of the Evernote product specifically designed for businesses. It allows users to cplaborate and share notes within organizations. This feature is useful for teams in different locations to communicate on projects. It also helps companies bring together all of their employees’ work-related documents into one place. Evernote Business gives companies several options for setting up their plan. monthly subscription; tiered pricing based on number of users; or unlimited storage for a flat annual rate per user.

Integration of AWS IOT and Evernote Business allows you to connect your physical devices (such as sensors and wearables. to the cloud through the Internet. This integration enables you to do the fplowing things:

· Cplect data from your devices in real-time and store it in a secure way in the cloud.

· Analyze the data to get insights on how your business performs.

· Create logic rules based on the data you cplected from your devices that trigger actions based on rules you created. For example, if temperature increases above 80 degree Celsius, you can send an alert message to your team members on-site and turn off air conditioners automatically.

· Build a simple application that uses device data as well as other data sources to present meaningful insights to your end users or customers.

Users can not only cplect device data but also analyze it in real time with this integration. They can set complex logic rules using Machine Learning that trigger actions based on the data cplected from devices, which will save them time and effort in managing their devices. With such an integration, users can easily develop an application that serves as their IoT application platform and enables them to build application(s. and business logic(s. faster while saving costs.

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