Without the application of Internet of Things (IoT) and Artificial Intelligence (AI), the technological world would not be what it is today. These modern solutions change the business landscape, especially in the field of industrial automation. The Internet of Things and artificial intelligence have promoted the concept of Industry 4.0 and produced countless advancements that we could only dream of before. However, the next phase of the Industry 4.0 revolution will truly be led by a hybrid of the two technologies, known as AIoT, or the “Internet of Intelligence.”
The convergence of these technologies is expected to bring various benefits to the existing ecosystem. Below we will introduce in detail what AIoT is and what it can bring to the industrial automation of enterprises.
What is AIoT?
IoT and artificial intelligence are two separate technologies that each play an important role in many industries. The former often takes the form of an ecosystem that includes devices with sensors and a cloud mechanism to collect data; each device sends data to the cloud, which is then centrally received and stored; and the cloud processes large data sets and derives insights.
The latter takes action based on the data collected. As a result, AI no longer simply presents humans with the facts of an event, but instead takes action automatically with extremely high precision, speed, and efficiency.
When these two technologies collaborate, the system gains significant capabilities for action. This is why AIoT is the next step in technological innovation.
Benefits of AIoT in Industrial Automation
The integration of AIoT systems in industrial automation will bring immeasurable benefits in asset management, operations management, customer behavior analysis, etc. Here, we will showcase 5 key benefits of AIoT.
Real-time monitoring and action
The ability to monitor assets and employees in real time is critical, especially in industries where the risk of equipment failure can be costly—even fatal. This provides reliable oversight of all assets, including equipment and staff, and allows the system to take appropriate action when things don’t go as planned.
Predictive maintenance is one of the main charms of AIoT. For example, machines in smart factories will be able to recognize on their own when repairs are needed, allowing maintenance to be carried out before a failure occurs.
Effective risk management
By using predictive analytics, companies will be able to assess potential risks and protect themselves through anticipatory measures. By implementing rapid response procedures before an incident occurs, possible scenarios such as equipment failure, cyberattacks and workplace hazards can be prevented.
Enhanced scalability
In this case, scalability refers to increasing the number of connected devices in the IoT ecosystem and optimizing existing processes. With the addition of artificial intelligence, the process of data collection becomes very specific; only the required data specific to the operation is pushed to the user.
Improve operational efficiency
With artificial intelligence in IoT, patterns can be detected from data to reveal insights that would otherwise be missed. The system can then implement predictive and preventive analytics to detect faulty machines or operational pain points, thereby improving overall efficiency. By implementing AIoT, operating systems in industrial automation become proactive rather than reactive.
Melhorar a experiência do cliente
All stakeholders are aware of the fluid nature of consumer behavior and the challenges of consistently delivering excellent customer service. AIoT can help with this by discovering new data points, giving analysts a more complete understanding of customer needs and behavior.Analog collector
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