Typically, we see artificial intelligence operating in the world of software: chatbots, algorithms and data processing, automation, analytical services, etc. However, there are other exciting examples of AI applications out there. This time, the innovation goes beyond the software sphere and moves into the territory of physical reality.
The Next Step in Industrial Innovation Is Physical Reality
A factory, warehouse, construction site, industrial facility, and any other place of business require people, equipment, materials, and processes. However, there is one problem that many companies face knowing what is going on within their operation at any point in time.
Where is the key asset? What causes delays in a process? Why does the workflow stall? What information could help the team to make the right decisions and prevent small problems from becoming major ones?
This is where a combination of Artificial Intelligence and the Internet of Things (AIoT) comes in handy.
Connecting Smart Insights to Physical Operations
IoT devices and sensors can provide information from physical space. With the help of connected technologies, companies could keep track of assets, equipment, movement, environmental conditions, and operational activities.
AI brings another layer.
In contrast to simple collection of information, the smart systems could analyze patterns, detect anomalies, and help to transform large amounts of operational information into useful insights.
For instance, an industrial company might use connected technologies to increase asset visibility. Information from the physical devices could show the location of equipment or materials, and AI could help to analyze movement patterns and make smarter decisions based on them.
However, the goal is not just to add technology, but solve practical problems.
Importance of Real-Time Visibility in Operations
In case of complex operations, the lack of visibility can cost money.
Teams waste time looking for equipment. Operations stall due to the lack of information on location or status of materials. Managers find out about problems only when they have already affected the performance of the team.
Real-time visibility changes the game.
Having information earlier helps the team to investigate the problems, coordinate the resources, and make decisions. Together with AI, connected data could reveal patterns that would be hard to identify otherwise.
As a result, there is a fundamental shift in the approach from responding to what has happened to the understanding of the current situation—and sometimes even anticipation of future actions.
Technology Designed Around Real Problems
The most useful innovations start from a problem to be solved.
This is why it makes sense to pay attention to the trend of AIoT developments. AI, IoT infrastructure, data pipelines, asset intelligence, and operational analytics can be used in combination with each other to solve practical problems of industrial companies.
There are multiple opportunities in such areas as asset tracking, inventory management, workforce safety, access control, security, and industrial intelligence.
Readers interested in the subject could check out the activities of Aperture Venture Studio https://apertureventurestudio.com/ where AIoT solutions for industrial applications are created.
The Future of AI Is Not Digital Alone
The discussion about artificial intelligence tends to focus on what is happening in computer programs.
However, the physical world generates a huge amount of data every second. Machines operate. Materials move. People do their jobs. Equipment changes location. Environment affects the operations.
The task is to connect these events with systems that could understand them.
AIoT is one of the possible answers to this question.
By using intelligent devices and analyzing data, organizations could move toward better visibility, smarter decision-making, and more effective responses.
The future of AI may be not just about smarter software.
It may be about technologies that could help us better understand and manage our physical environment.
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