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Article from “www.analyticssteps.com/categories/artificial-intelligence”

With the deployment of IoT, the business world is changing rapidly. IoT is assisting in the significant capture of a massive amount of data from many sources. Wrapping one’s head around the avalanche of data arriving from innumerable IoT devices, on the other hand, makes data collection, processing, and analysis difficult.

Investment in new technologies will be required to realise the future and full potential of IoT devices. The combination of AI (Artificial Intelligence) with the Internet of Things (IoT) has the potential to reshape the way industries, businesses, and economies operate. IoT powered by AI generates intelligent technologies that mimic intelligent behaviour and assist in decision-making with little or no human intervention.

ombining these two streams serves both ordinary people and experts. While IoT is concerned with devices connecting with each other over the internet, AI is focused with devices learning from their data and experience. This blog explains why IoT and AI must operate together.

Adding Value to IoT Through AI/ML

As we all know, an intelligent system is useful when combined with another breakthrough known as Machine Learning, or ML. The phrases AI and ML are sometimes used interchangeably to refer to the concept of creating intelligent software applications. This intelligence enables them to study information and make decisions in the same way that a human brain does.

( Must Read: Artificial Intelligence (AI) For Marketing Analytics )

Given that the purpose of IoT devices is to collect and use data, putting data collected from physical devices through machine learning and artificial intelligence allows us to improve on those procedures.

Expert systems are used in the Internet of Intelligent Things (IoIT) to provide even more value to the IoT domain by significantly better understanding data acquired from linked tools. Here’s how you can do it:

1. Sensing units and actuators covered with software and equipment connect the gadgets in an IoT network to give people with reasonable inputs. Machine learning and artificial intelligence are at the heart of the Internet of Things because they enable these devices to comprehend the data they collect.

2. When a group of connected devices collects and integrates raw data, software programmes with machine intelligence capabilities analyse the data. After a thorough examination, the final result contains useful information.

Exercising IoT using AI in the Real World

Let’s take a closer look at companies that have used AI-powered IoT to improve user experience and create new revenue models.

1. Manufacturing Robots

Manufacturing is one of the industries that has already embraced new technologies such as IoT, AI, facial recognition, deep learning, robotics, and others. With the help of implanted sensors that facilitate data exchange, factory robots are becoming smarter. Furthermore, the robots can learn from fresh data because they are equipped with artificial intelligence systems. This method not only saves time and money, but it also improves the manufacturing process in the long run.

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2. Autonomous Vehicles

The best example of IoT and AI working together is Tesla’s self-driving automobiles. Self-driving automobiles use artificial intelligence to predict pedestrian and card behaviour in a variety of situations. They can, for example, identify road conditions, ideal speed, and weather, and they are becoming wiser with each journey.

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3. Retail Analytics

Many data points from cameras and sensors are used in retail analytics to track customers’ movements and forecast when they will arrive at the checkout line. As a result, the system can recommend dynamic staffing levels to shorten checkout times and boost cashier productivity.

4. Smart Thermostat

Nest’s smart thermostat is an excellent example of AI-enabled IoT. Based on the users’ work schedules and temperature preferences, the smartphone integration may check and regulate the temperature from anywhere.

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