Intelligent Edge is Driving the Shift of Internet of Things (IoT)

Intelligent Edge is Driving the Shift of Internet of Things (IoT)

Infusing intelligent edge technology on Internet of Thing (IoT) will help the devices take decisions in a closely connected platform. It ensures security and opens new possibilities.

Smart devices are getting smarter, learning out habits and relieving us from the routine. Intelligent devices and the infusion of futuristic technologies have made everyday life easier. Internet of Things (IoT) is leading the change with its technology spreading over various devices including home basics.

As of 2020, the world has around 27 billion IoT connected devices. The number is anticipated to grow to 75 billion by 2025, according to Statista. Door locks, thermostats, fridges, televisions, video doorbells and security cameras can be summoned remotely with the help of IoT. Intelligent devices make ageing in place for elders much more viable. Smart products are simpler for them to use and can be managed remotely by other family members. The agriculture sector is also a high beneficiary of IoT. Both crop farmers and livestock farmers use IoT sensors to monitor their yield. Even though when the opportunities of IoT are predicted to change the world upside down, it has a set of flaws that needs to be addressed.

The fear of an explosion of data that underpins these advances is causing trouble for those creating products, services and supporting infrastructure. Generally, IoT devices rely on a cloud-based platform to process data that they have collected from devices. Even though when the model has its side of benefits, intelligent edge stoops to improve the IoT devices to another level.

Internet of Things (IoT) limitations

Internet of Things (IoT) phenomenon ubiquitously connects things providing key physical data and further processing of that data in the cloud to deliver insights. Since IoT links to millions of devices, it stores all the data in the cloud. Sending data to and from the cloud has its drawbacks.

• Energy and bandwidth- Transmitting data uses energy and bandwidth. More data management leads to more cost spent on finite resources.

• Latency- Sending data to the cloud introduces latency, which limits the effectiveness of certain applications.

• Privacy and security risks- Transforming information introduces privacy and security risks. Data collected by a smart device at home or office reveals a lot of information; sometimes even personal content is also stored. The assurance that data is being safely shifted to the cloud is linear. If hackers get the handle of it, the situation could worsen.

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