Top 5 Benefits of AIoT for Industrial Automation
The tech world wouldn’t be where it is today without the applications of Internet of Things (IoT) and Artificial Intelligence (AI). These modern solutions have transformed the business landscape, especially in the industrial automation sector. IoT and AI have fueled the concept of Industry 4.0 and produced countless advancements that we’ve previously only daydreamed of.
However, the next phase of the Industry 4.0 revolution is truly going to be spearheaded by a cocktail of the two. This hybrid is called AIoT, or “Artificial Intelligence of Things.”
The convergence of such technologies promises to deliver a variety of benefits to existing ecosystems. Here, we’ll break down what exactly is AIoT and the top five benefits it can bring to your business’ industrial automation.
What is AIoT?
IoT and AI are two separate technologies which play important roles across many industries. In both cases, data is the foundation of everything. The former typically comes in the form of an ecosystem, which includes devices with sensors to collect data along with a cloud mechanism. Each device sends data to the cloud that is received and stored centrally. The cloud processes large datasets and derives insights from the selected devices.
The latter goes beyond representations and patterns, acting based on the data gathered. So, instead of merely presenting humans facts about a certain event, AI bridges the gap by automatically taking action with immense precision, speed and efficiency.
When these two giants join arms, the system gains the vital ability to act. This is why AIoT is the next step in tech innovation.
Pros of AIoT in Industrial Automation
The integration of AIoT systems in industrial automation will realize untold benefits in asset management, operations management, customer behavior analytics, and more. Here, we’ll showcase what we feel are the top 5 key benefits of AIoT.
1. Real-time Monitoring and Actions
The ability to monitor assets and workers in real time is essential, particularly in industries where risk of equipment malfunction could be costly – or worse, fatal. This enables reliable supervision of all assets including devices, modules and workers as well as allows systems to take appropriate action when things do not go as planned.
Seamless predictive maintenance is one of the major charms of AIoT. For instance, machines in a smart factory will be able to identify for themselves when they are in need of repair, and thus can be recalled for maintenance before disaster strikes. The costly inconvenience of unexpected machine failure could become a thing of the past.
2. Enhanced Scalability
Scalability in this context refers to both increasing the number of connected devices in an IoT ecosystem and optimizing existing processes to accommodate them. With AI thrown into the mix, the process of data gathering become super-specific; only the required data specific to the operation reaches the user.
3. Developed Risk Management
Through the use of predictive analytics, companies will be able to assess potential risks and shield themselves with anticipatory measures. Probable instances like equipment failure, cyber attacks, and workplace hazards can be protected against by implementing rapid response procedures prior to the event occurring.
4. Boosted Operational Efficiency
With AI in IoT, patterns can be detected from data to reveal insights that would have otherwise been missed. Systems can then implement predictive and preventative analytics to detect faulty machinery or operational pain points, boosting overall efficiency and employee well-being. By implementing AIoT, operational systems in industrial automation become proactive rather reactive.
5. Improved Customer Experience
All stakeholders are aware of the volatile nature of consumer behavior and how challenging it can be to consistently deliver quality customer service. AIoT can help achieve this by uncovering new data points to allow analysts to get a more comprehensive picture of customer needs and behaviors.
The power of AI is profound. From deciphering what sells and what bombs to understanding nuanced market demands, findings like these become invaluable sources of knowledge for businesses, leading to significantly increased revenue streams.
This “Artificial Intelligence of Things” marks the beginning of what is to come in the near future with industrial automation and Industry 4.0. Which other benefits or use cases are you looking forward to being enabled? Let us know in the comments.
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