Talking about technology, the world is moving an extra inch every single day to simplify human efforts that result in flawless business processes.

From a brick and mortar store to a multimillion empire, every business involves technology to fast-track productivity without compromising quality.

In the last decade, we kind of got accustomed to several technology-related terms such as Big Data, Artificial Intelligence (AI), Internet of Things (IoT), and so on. And since we are rapidly making progress in the genre of technology, the ideal combination of AI and IoT does not take us by surprise.

But do we exactly know what this seamless combination of the most lucrative technologies of the 21s century has in store for the world?

Maybe, maybe not.

Well, why contemplate when we can find out.

What is AIoT?

Independently, IoT and AI are two powerful technologies. But when you combine the goodness of both, AIoT is born.

To simplify the concept, IoT can be considered the digital nervous system, and AI functions as the brain of the system.

Technically, AIoT is short for the deadly combination of Artificial Intelligence technologies with the Internet of Things infrastructure that facilitates more efficient IoT operations with a focus to improvise human-machine interactions and enrich analytics and data management.

In short, AI is deployed to transform IoT data into useful information to enhance the decision-making process, further building a concrete foundation for newer technology.

Moving intelligence to the edge

The partnership between AI and IoT brings intelligence to the edge. As AI gets better with more and more devices such as sensors, cameras, mobiles, and more, it eliminates the need for cloud-based computing. Alternatively, it moves the analysis directly to the IoT device, thus eliminating latency in processing.

On a broader note, the new technology focuses on transforming the IoT data into useful information with an aim to deliver enhanced decision-making process.

AIoT: practical application

The thoughtful combination of AI and IoT makes AIoT a powerful tool for a range of applications.

We have got a few right here.

Smart retail

From the marketing perspective, incorporating AIoT in a retail setup equipped with camera systems that have computer vision capabilities leverage the facial recognition feature to identify various information when the customer enters the store. The system then gathers information on customers on the basis of demographics such as age, gender, and product preferences. This information further helps the retail business to analyze data to be able to predict consumer behavior accurately. Later the information is used to make strategic decisions right from store operations to merchandising.

For example, if the information analyzed displays that the majority of visitors of the store are millennials, they can then push their advertising efforts toward social media.

Fleet management and autonomous vehicles

AIoT works wonders when successfully applied to fleet management and autonomous vehicles. The new pattern helps keep track of fleet vehicles, reduces fuel costs, identifies unsafe driver behavior, and tracks vehicle maintenance.

Another classic way of using AIoT to its best is the Tesla example.

Tesla Inc., an American electric vehicle and green energy company, leverages the goodness of AIoT for autopilot systems that involve radars, GPS, camera, and sonars to accumulate data related to driving conditions, post which an AI system makes decisions based on the data gathered by the IoT devices.

Additionally, the powerful pattern of AIoT is also used in drone traffic monitoring, office buildings, autonomous delivery robots, and more.

The competitive advantage of AIoT

The concept of IoT is incredible. But what is the use of data if it is not paired with AI?

Well, gaining a competitive edge is more than just connecting devices and gathering data. Remember, without the flavor of AI, data collected from IoT devices would have very little value.

IoT today is delivering unimaginable amounts of data in almost every sector. Therefore, manufacturers, healthcare insurers, retailers, and more are associating relevancy to AI apps.

Moreover, the AIoT can transform businesses, increase customer experiences, and speed up business performance at an accelerated pace.

Let’s check out how AIoT adds to the competitive edge.

Business leaders anticipate scaling up revenue with AIoT

Let’s get straight to the point.

Based on the survey conducted by SAS, Deloitte, and Intel with research and analysis from IDC, business leaders definitely expect better revenue from AIoT.

Stats reveal that 79% of leaders are involved in IoT decision-making, and 92% of those leaders believe that AIoT has the potential to exceed expectations.

Improved operational efficiency

Intelligent automation has the potential to exceed the traditional approach by streamlining business processes. And businesses that implement AIoT technologies improve operational efficiency by saving on resources.

Enhanced customer experience

AIoT enables the business to understand customer behavior and challenges faced more accurately. For example, a surveillance camera does not just protect the business from theft or crime but helps understand the buying pattern of customers along with the demographics.

Based on this information, businesses can multiply the overall customer experience by making service more personalized and prompt.

Interlude

AIoT is a vast subject and definitely requires a part II to accommodate essential information and offer a fair understanding of the revolutionary combination of AI and IoT.

So, stay tuned for more.