AIoT future

There has been immense pressure on businesses to improve the quality of their output and optimize the speed at which they deliver it. This is mainly because of the pressure to meet tight deadlines, face fierce competition, and increase in customer demands. However, emerging technologies like IoT and AI have helped organizations to improve every process.

IoT and AI are both unique solutions that can carry the potential to shape the future of any enterprise. It has been projected that companies could invest $15 trillion in IoT by 2025. And some strongly believe that it can offer an economic impact of $4 trillion to $11 trillion per year by 2025. The amalgamation of the two, known as the Artificial Intelligence of Things or AIoT, holds a higher potential to transform the future.

When AI meets IoT

When AI is combined with IoT, it gives rise to another scientific advancement called the Artificial Intelligence of Things or AIoT. Simply put, AIoT is when connected devices analyze data and make logical decisions without any human interference or assistance.

These devices can collate data, analyze them, and utilize them to generate a better-optimized system that gives high performance.

AIoT Brings changes in many aspects of the future.

1. Food

AIoT Food

As the population keeps growing globally, the demand for food will be a challenge in the coming years. It will be hard to meet this demand unless the rate of food spoilage and let is reduced. However, with AIoT, AI can help collate data to make a better decision regarding the conditioning of a volume of grain, whereas IoT can help provide predictive information so that the conditioning can be applied at the right time. There is no denying that this will immensely reduce the cost and optimize efficiency.

Additionally, companies also use AIoT to control pests in their ocean shipment and prevent them from being rejected. IoT can help detect pest presence on food shipment, whereas AI can be used parallelly to apply fumigation in real-time.

2. Smart Retail

AIoT Smart Retail

Customer behavior is continuously changing, and retail companies need to predict those buying trends and behavior to offer better customer experiences. With AIoT, retailers can set up cameras that use face recognition to determine the customer’s gender, age, product preferences, popular merchandise, and the flow of customers over a given period. This helps the smart retail system to place the products in the ideal place using collated data.

3. Office Buildings

AIoT Smart Building

At the intersection of AI and IoT, offices become smart buildings. This is because companies can use AIoT to build a system that monitors indoor temperatures, lighting as well as the presence of staff or personnel.

Office buildings, therefore, feature access control systems that are powered by facial recognition technology. Employees need to list their attendance manually as the cameras easily detect their facial features.

4. Security and Scalability

AIoT Security and scalability

With AIoT, the softwares and systems take care of the processing. This means that an AIoT system does not require a large infrastructure in place. Therefore, it is not only cost-efficient but highly secure. The system does not send each and every piece of data to the cloud. Instead, it sends only that data which is essential. This makes the process of providing data a lot more secure.

It comes as no surprise that Machine Learning and AI require a lot of data to function. In fact, they become highly efficient when the amount of data fed increases. However, IoT systems individually generate a lot of data but become inefficient when processing it. That is why, when combined, AI and IoT work in unison.

Summing it up

Individually AI is as powerful as IoT. But, when they intersect to create AIoT, it gives birth to a super-powerful system that is capable of things beyond imagination. AIoT is used in retails, autonomous cars, agriculture, etc. Technological advancements are affecting so many businesses and industries, and it is always good to know its implications for a better future.

Businesses that are investing and wish to implement AIoT applications will become more diverse and have the edge over their competition. We say this because they will be fueled with the ability to make intelligent decisions, optimize operations, improve predictions, and provide great value to their customers.

Want to know more about the potential of AIoT? What is your take on the future of technology? Let us know in the comments below!

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