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The Internet of Things (IoT) provides IoT gateways for any industry vertical, an open edge framework, and a modular cloud infrastructure to connect field devices to business analytics and enterprise applications. Based on open-source standards, it also accelerates the IoT application development and project deployment while avoiding vendor lock-in. IoT has its own features which have been discussed below.


Open-sourced, based on open standards, and supported by a large ecosystem of partners, it ensures flexibility and interoperability while avoiding the limitations of proprietary and lock-in solutions.


Everything is needed to bootstrap IoT applications for faster deployment and time to revenue. IoT edge gateways, field protocols, edge computing framework, and the IoT integration hub are provided in an integrated yet modular offering.


DevOps for the IoT. Manage your field devices and your deployment. Integrated Information Technology (IT) and Operations Technology (OT) lead to increased operational efficiency, deployment flexibility, and infrastructure security.

Everyware IoT is an integrated platform for the Internet of Things.

Iot integrates four parts which are sensor/ devices, data collection and connectivity, data processing and machine learning, and user interface.


The work of sensors or devices is to pass the data to the cloud. With that comes the function of data collection and connectivity.


Data is passed from a device or sensor to the cloud via some type of connection. How these devices connect varies and depends on the purpose of the device.

The common methods today include:


- Bluetooth

- RFID readers

- File transfer protocol

Through one of the methods listed above, data is passed to a gathering point at a data center or within the cloud.


After the IoT device collects data from its surroundings data and aggregates the information within a data center or cloud, software processes it. The device can decide to perform an action like sending an alert to a user or automatically adjusting a sensor without user intervention.

As data is assembled, many IoT devices can learn about user preferences and automatically adjust to match those preferences. The combination of data processing and machine learning is what makes some IoT products smart devices. The fact that IoT devices can learn without programming is incredibly valuable.

Think of the smart thermostat that automatically adjusts itself to the ideal indoor temperature or the smart refrigerator that does not just notify you that you are low on a certain grocery item, but automatically orders a replacement.


While automation continues to revolutionize how we interact with IoT devices, there are some decisions or actions that need to be enabled by a traditional user interface. A user may want to adjust the temperature of a thermostat using his or her smartphone or check the IoT security camera they have installed in their house using the same phone. If user input or intervention is required, an IoT user interface enables the user to respond accordingly.

The IoT has many benefits and has been widely used by unicorn industries to make their manual labor automated and their work is done more effectively and efficiently to avoid any nuisance or delay in the work.


Through IoT connectivity, manufacturers are able to gather and potentially centralize the data from multiple devices. This starts the process whereby real-time health checks or meaningful long-term analytics around that data are possible – and incredibly useful. Within the last decade, we have increased our ability to gather real-time information on what’s happening and perform timely analysis. In this way, manufacturing enterprises are able to capitalize on the “interconnectedness” that comes from the Internet of Things.


Internet of things (IoT) allows for more personalization than ever before. Because all these devices are connected, customers expect a certain level of customer support that is ingrained within the device itself. Services can be adjusted on the fly, and refined based on what a customer is asking for at that particular moment, whatever it might be. Devices are also able to improve over time as they gain more data and can make more accurate decisions tailored to each customers’ needs.


Internet of Things (IoT) can drastically reduce overhead and lower a business’ expenses. At the same time, IoT will increase efficiency by allowing an enterprise to take advantage of a new business function. For instance, organizations can benefit from knowing exactly how much they need and when in terms of inventory. IoT devices can be used to track 7-eleven machines or McDonald’s beverage stations. IoT provides better inventory management, which means fresher food gets delivered, and the food is easier to track.


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