The world is becoming smart. From mobile phones, to watches, to television and whatnot, everything is getting transformed to its smart version. One of the major contributors to the creation of a smarter world is IOT. Though it is relatively newer, it already has managed to raise a market revenue of $212 billion globally. As of 2020, 20.4 billion IOT devices were activated and the number is expected to cross 75 million in the next five years.
It’s a sure thing that IoT has brought an industrial revolution, however there are few things that screams for attention. Only 26% of the companies are successful with their IoT initiatives with even bigger establishments failing to succeed. The reason behind this is that there are many elements that go hand in hand in an IoT project. The development of hardware and software and making them synchronized can get challenging. Let’s take the first step in overcoming these challenges by knowing them.
Proper connectivity is the primary requirement of IOT systems. They work in real time to monitor, process and share data. IOT cannot survive in an environment with latent connectivity. It will be helpless while trying to connect with other devices and cloud platforms. The only way to solve this problem is to understand the product and create a proper design and device application environment.
Network security and Data protection poses significant challenges in most of the IT services. The transmission cycle of data from the IoT devices and sensors to the gateway and finally the Cloud needs to be secured by transfer protocol. Also the data that gets stored in the cloud needs protection through measures like access control and encryption. However, unlike other IT services, an additional aspect of physical security needs to be considered in the case of the IoT application development process. Since IoT devices are mostly located in open spaces, ensuring damage resistance is essential otherwise it can lead to extreme economic losses.
IoT apps must be created considering the futuristic advancements in the embedded systems. As a result, IoT development necessitates a delicate harmony between hardware and software elements. Developers may focus on optimising the performance of the product, but this may limit the it’s ability to be updated. On the other hand , a highly updated product that uses a heavy operating system, enables the usage of new functions, features, and security patches can lead to compromise in performance. As a result, it becomes a challenge to create an optimum updated product that delivers the best performance. Besides, making the IoT system compliant with industry standards and protocols does not make it easier.
IOT apps targeted towards consumers should be user friendly and simple to use. A complicated IOT app that requires you to go through the long technical manuals can be a huge turn off for the customer. Besides, Industrial IOt products should be focused on data visualisation and quick decision making. To achieve a perfect user friendly interface for your IOT app, developers should build a product that is flexible to human behaviour. They should create secure and simple authentication process by establishing a coherent environment for the IoT device
5) Lack of skill set
IoT is a diverse field that needs developers who have equal knowledge from both software and hardware perspective. While most of the developers are still finding a way around this technology, it is essential to find an experienced team which is capable of facing the mentioned challenges tactfully.
By addressing the last challenge you can tackle all the possible obstacles that can come your way to establishing supremacy in the IoT industry. Well, we have a solution for that – collaborate with TechAhead! This IoT app development company has the team of finest developers who have already successfully implemented ambitious IoT product ideas. From consultation to product design, App development to testing, TechAhead, a top mobile app development company, provides end to end IoT development services of world class quality. Book a session with TechAhead and experience it yourself.
AI & Learning Experience
Artificial Intelligence (AI) has been one of the major fourth industrial revolutions that have been a “Master Stroke” in the Ed-Tech business. With immersive learning methods and specified skill levels for each scholar, Ed-Tech firms can now explore a new array of user data and assess them better than they used to. What’s more interesting here is the mixing of AI with learning experience that has resulted in every generation to cope up with their similar-age groups at their own learning pace.
Such a set of models also helps students to leverage a website’s additional features like feedback, track report and personalized learning options. These features have provided in-depth research analysis for learners and quickly narrow down their strengths, shortcomings, and proficiency more accurately than manual education. Thus, it has never been a more proficient time for such companies to provide fruitful services to their customers and provide them invaluable results.