TOP 5 IOT MYTHS THAT PEOPLE MUST STOP BELIEVING
Tags: iot, technology
Published: 2021-03-16 07:55:15

Gartner predicts that within the next two years there will be 25 billion connected devices, roughly 3.5 devices per person.
Over the next 5 years, about $270 billion will be spent just for developing and implementing Automotive IoT solutions.
By next year 90% of the vehicles rolling off the assembly lines will be connected to the IoT ecosystem.
With 127 devices being added to the internet every second, organizations have realized the potential and will invest $15 Trillion between 2017 and 2025 in IoT.

The Industrial IoT (IIoT) is a $14 trillion economy.

No part of our lives is untouched by the Internet of Things (IoT) today!


But as it happens with any technology in its nascent stages, IoT is plagued with myths and misunderstandings. These are playing a crucial role in forming the perception of the target audience so they need addressing. 

### What is IoT?
IoT, which is known as the Internet of Things refers to a system of interrelated, internet-connected objects that can collect and transfer data over a wireless network without human intervention. 

### How do IoT works?

An IoT system consists of devices that “talk” to the cloud through some kind of connectivity. Once the data gets to the cloud, software processes it and then might decide to perform further action, such as sending an alert or automatically adjusting the devices without the need for the user.

Let us look at the most common 5 myths which need to be busted to further drive the adoption of IoT.

### 1. IoT is all about sensors.
 
It is not. The IoT is a complete ecosystem knitting company, vendors, and customers together. Along with all the devices, it needs connectivity and gateways to port the data into the storage layer. The advent of cloud technology has made it possible to store a huge amount of data economically. A user-friendly and intuitive UI plays a pivotal role in enabling users to interact with the data and understand the insights Cleansing and data-scrubbing are required to make it an analytics-ready post which Machine Learning algorithms need to be implemented to draw actionable insights. There’s a lot more than sensors here.

### 2. Has immense security issue. 

This is one of the most prevalent of all the myths and has, unfortunately, stood the test of time. The truth, on the other hand, is much more nuanced. The data feed from the sensors is connected via a gateway to cloud storage. When the data is in motion via the Wi-Fi network or the network of a wireless service provider, the customer feels that it is susceptible. The reality is that stringent measures, as well as protocols, have been put in place. This has reduced the possibilities of hacking the sensors remotely, locally, or otherwise from anywhere. Most IT-led systems have some security concerns and the IoT systems have only as many - no more.

### 3. IoT is a single market where one size fits all and has limited vendors. 

IoT is not a one size fits all story. Each specific ecosystem must be built ground-up depending on the use case, the desired result and not to forget the domain in which it is being implemented. Even in different industries, say supply chain or a manufacturing firm, one must keep in mind the BU that is using it. IoT implementation on a shop floor will fundamentally be different from that in a warehouse. Health care use-cases are again different altogether.

Many solution-providers can help organizations implement as well as establish use cases. With time the scarcity of resources as well as service providers has eased out. Over time, companies have also invested resources to develop the skills to deal with IoT demands.

### 4. IoT by itself is a transformational future technology.

Implementing IoT is not a panacea for all evils. Like all strategic initiatives -the devil is often in the details. Simon Sinek stresses that we should always start with why as that sets the tone and spirit of any endeavor. With a clear strategy for each use case, for instance, an IoT-enabled supply chain to increase transparency and monitoring, it has the potential to become transformational. Then you know which KPIs to track, what causes disruptions, and what to look out for to rule out nasty surprises. With a clear goal in mind, the whole ecosystem becomes transformational. Without that the organization could get submerged in the data tsunami and activity could actually grind to a halt.

### 5. Mobile data plays a central role. 

Mobile data plays a huge role but doesn’t play the central role as is often commonly perceived. Using mobile data as the central source of data has many pitfalls. Like what happens when the device moves into a no-network zone or goes into a flight mode.  There are many cases where mobile data doesn't even have a role to play. Imagine sensor data being monitored on a shop floor with the primary goal of solving predictive maintenance challenges. Similarly, mobile data has very limited to no utility in a scenario where telematics data is being monitored.  With a few exceptions of wearables mobile data, mobile data has a limited utility outside of direct-consumer-facing situations.

## In conclusion, 

Let’s agree that IoT is still a shiny new thing. But the fog of confusion persists more in our mind rather than in reality. True, the technology is still evolving but one cannot ignore it until it becomes perfect or one runs the risk of missing the bus. The pros far outweigh the cons right now and the time is ripe to jump on board.
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Source:- https://www.buzzfeed.com/satyendra123/the-top-5-iot-myths-that-you-must-stop-believing-7fx7pj8zic