AIoT: The powerful convergence of AI and the IoT
From fictional characters like Joey and Phoebe in Friends to the hamburger & fries combo for foodies, the greatest and most powerful duos have existed throughout the history of mankind. They may have a unique individuality but when clubbed together boom! Together, says Dinesh Soundararajan of Contus, they create an awesome and wonderful impact.
Similarly, the perfect amalgamation of the Internet of Things (IoT) with Artificial Intelligence (AI), together known as AIoT, is all geared up to give enterprises the best of both worlds! This is backed up with recent research from researchandmarkets.com which states that by 2023, the global value of IoT in embedded IoT devices market will grow to US$26.2 billion.
“AIoT in simple terms means to make the Internet of Things perform intelligence tasks with the help of integrating Artificial Intelligence.”
The Artificial Internet of Things helps to connect IoT devices with sensors that are integrated
with AI capabilities – all of these with no human intervention.
That being said, let’s see how these Artificial Internet of Things actually help the business world move towards a next-gen transformation.
Are you wondering why we need AIoT when the Internet of Things market is doing well across several industries? Well, here is a quick look at the differences between these two technologies. We can call AIoT the next version of IoT.
“ In this era of 5G, the AIoT technology will only be enhanced further where it will connect every object, people, and machines in a more meaningful way.”
Having an intertwined relationship between IoT and AI will help organisations move to the next level. Now that AI and IoT have individually marked their presence in the digital world, many IoT app development companies are moving towards AIoT for managing Internet of Things connected devices with artificial intelligence techniques.
Let’s look at the advantages of AIoT for business:
The data collected from millions of IoT devices is so massive it makes it difficult to segregate and extract useful information from it. To organise these unstructured data into a meaningful chuck of data, AI-based algorithms are used to eliminate junk data and leverage any business model.
Now the chief technology officers (CTOs) and other decision-makers can make firm business decisions based on the valuable insights retrieved from this data.
Smart automation surpasses the traditional approach by streamlining the organisation’s processes. Several industries have implemented these AIoT technologies to save on resources. For example, in office buildings, smart environmental sensors provide data on how many people are safe inside the premises. This includes fire, theft or any other warnings.
The integration of human facial recognition software and other biometric access devices all facilitate remote monitoring of the physical security of office buildings. Any unidentified personnel or abnormal activities are swiftly recorded and alerts or notifications can be sent automatically to the central hub.
Let’s briefly look into the advantages of AIoT for customers:
Understand your customer’s behaviour and their challenges more precisely with Artificial Internet of Things technology. For instance, the surveillance camera is not only used to detect any thefts or crime, it also helps to read the customer’s shopping pattern.
AIoT collects and correlates inventory data, such as which aisle needs re-filling fast or where goods are fast-moving, and which aisle has seen no customer visits at all.
