After integrating with a cloud service, we can build upon the platforms creating an Intelligent Smart IoT system. This roadmap will give you a general pathway using either Azure or AWS cloud platforms<\/a> and the services that each offers.<\/p>\n IoT intelligence gives an organization the ability to monitor their devices in the field and provide them a platform to model and test “what if” events without affecting their operations, predict events in their environments, and adjust their operations live during events.<\/strong><\/p>\n Adding intelligence to integrations is a large, scary task, but we can follow a roadmap to make the process easier and more efficient. There are four stops along the way:<\/strong><\/p>\n Let’s take a closer look at each stop on our IoT integrations roadmap.<\/strong><\/p>\n The first stop of integrating IoT is to start collecting sensor data into the environment. This stop is for organizations with IoT devices either currently collecting or needing to collect data from them or have plans to add IoT devices to their architecture.<\/p>\n Most of today’s sensors can write data to a DBMS, but it is also common to see sensor data exported into flat files into a network shared folder. Adding intelligence to both flat-file and self-collected integrations is difficult and expensive to manage.<\/strong><\/p>\n With this method, organizations are left to either build their own internal solutions or purchase an IoT management suite that adds a strain on their IT administration and their cost of managing both the process and the environment.<\/p>\n Both Azure and AWS have service offerings that handle both the integrations and management of an IoT integration. Prebuilt cloud solutions give an organization a platform to build intelligence into their IoT integrations.<\/p>\n The second stop on our roadmap is integrating your IoT Devices with cloud services. At this stop, you may have an IoT integration in-house and want to migrate it to the cloud to take advantage of prebuilt services that give you a platform to add intelligence to your integration.<\/p>\n When selecting outside help, choose a Data and Analytics<\/a> Cloud service team agnostic to your decision of whatever cloud platform you prefer. The two most common platforms we will cover in this blog are Azure and AWS, each providing a distinct set of benefits to the user. The platform you select depends on your business and technology needs.<\/strong><\/p>\n Azure’s IoT Central<\/a> is a centralized management service built to reduce the burden and cost of developing and maintaining enterprise-grade IoT solutions. IoT Central is a fully packaged solution that allows you to add other services to enhance your environment.<\/p>\n AWS’ IoT Core<\/a> services allow you to connect your IoT devices to your AWS cloud services. AWS IoT Core is a gateway for your devices to connect to and piece together IoT solutions with other AWS Services.<\/p>\n With either service provider, migrating IoT integrations into the cloud will save you effort, time and money when implementing a platform that provides the ability to add intelligence to your IoT integration.<\/strong><\/p>\n The next stop on our roadmap is adding intelligence to our IoT integration. At this stop, your organization has integrated IoT devices within your selected cloud platform.<\/p>\n Each offering has services that allow your organization to add intelligence on top of your IoT platform. Let’s look closer at each option.<\/strong><\/p>\n The Azure Digital Twins platform<\/a> is a full package service built on top of their IoT Central services. Azure Digital Twins offers many features, including the options to:<\/strong><\/p>\n AWS IoT offers a bolt-on architecture that allows you to piece together your solution. By integrating Amazon SageMaker, AWS IoT Analytics and Amazon QuickSight into your AWS IoT Core solution, you can build a platform that provides intel into your current workflows. You can also build a Digital Twin operation model.<\/p>\n Enterprise IoT solutions are organic and continuous. Both Azure and AWS platforms provide a foundation for building IoT integrations you can further enhance with other services in the providers’ offerings.<\/p>\n Azure Services<\/a> you can add on include:<\/strong><\/p>\nStops along the route<\/h2>\n
\n
![\"IoT](\"https:\/\/centricconsulting.com\/wp-content\/uploads\/2021\/01\/Stops-along.png\")
<\/a><\/p>\nCollecting Sensor Data<\/h3>\n
Integrating with Cloud Services<\/h3>\n
Adding Intelligence to IoT<\/h3>\n
Azure<\/h4>\n
\n
AWS<\/h4>\n
Keep on Trucking<\/h3>\n