Internet of Things (IoT) & Edge Computing

With IoT platforms becoming more prevalent, leaders turn to edge computing for data optimization.


Internet of Things & Edge Computing

Internet of Things (IoT)

Anything that has a sensor attached to it and can transmit data from one object to another or to people with the help of the internet is known as the Internet of Things (IoT).

IoT devices include wireless sensors, software, actuators, and computer devices. They are attached to a particular object that operates through the internet, enabling the transfer of data among objects or people automatically without human intervention.

The Internet of Things (IoT) is already changing the world in a myriad of ways, and we are yet to even really get started. Gartner estimates that there will be some 8.4 billion connected devices installed worldwide by the end of 2017, up 31% on 2016, with roughly 37% of these devices set to be used by businesses and the rest by consumers. By 2020, they say there will be more than 20 billion connected devices and is projected to amount to 75.44 billion worldwide by 2025, a fivefold increase in ten years. The IoT, enabled by the already ubiquitous Internet technology, is the next major step in delivering Internet’s promise of making the world a connected place.

Edge Computing 

The volume of data from these devices presents a tremendous opportunity to businesses. Those ready to analyze it will be rewarded with insights into every facet of their day to day operations. However, there a number of challenges that need to be overcome first. One of the most important is the ability to process this data under pressure to meet the data computing and intelligent service demands of IoT devices and applications.

The solution is edge computing. In traditional computing, processing power is centralized. Data travels from a device to servers to be processed, with the output then pushed back to the device. Edge computing, on the other hand, pushes generation, collection, and analysis out to the point of origin instead of the data center or cloud. Edge computing is perfect for IoT for three reasons. 

  • Because the data is processed at the point of origin, you reduce the latency between devices and data processing, enabling faster response and decision making. This also means that the costs related to ingesting a large amount of data in the cloud are considerably lower and network capacity is freed up for other workloads. 
  • Since edge computing means the data is localized, if any individual device malfunctions, it does not have a cascading effect on others as a result. Retaining the data locally also provides a boost to compliance and security as there are fewer opportunities for hackers to access all data at once. 
  • By distributing and storing your data in smaller data repositories, you can segment manufacturing analytics into specific types of manufacturing and geographic regions. You don’t have to pull data extracts from a centralized data warehouse. This makes data aggregation considerably easier and allows you to provide real-time analytics directly to managers in specific regions. 

BRYTECH consultants can assist you in achieving on IoT strategy as well as implementing an edge computing architecture.  Contact us today.



Wireless Sensor






Computer Devices


Reduce Latency


Boost to Compliance


Easier Real-Time Analytics

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