The industry has spent years investing in connected devices, sensors and monitoring systems. Today, the vast majority of industrial sites produce terabytes upon terabytes of operational data every second of every day. The issue today: turning operational data into something that can be used to drive decisions.
This is where the term AIoT comes into play.
From Connectivity to Intelligence
Traditional IoT implementations will give insight into machines, equipment and operational processes. While this provides crucial visibility-it typically only delivers the basic data that operators must sift through to extract value from. The operator must then decide which course of action to take.
AI provides an additional layer by not just identifying operational patterns, but detecting abnormalities, alerting engineers to potential issues and accelerating decision-making based on prior and current operational data.
AI and IoT together are able to:
Continuously analyze equipment behavior
Detect anomalies early in an operational process
Support predictive maintenance initiatives
Enhance operational resource utilization
Increase overall operational visibility
Instead of trying to solve problems after they occur, operations departments are made aware of trends and deviations from normal operating parameters and can utilize the resulting intelligence to make smarter, and faster business decisions.
Where Will You Find AIoT Innovation?
AIoT's potential is far reaching, extending well beyond manufacturing facilities. Organizations in logistics, energy, smart infrastructure, healthcare and industrial operations are considering connected intelligence to boost their efficiency and streamline everyday operations. Some examples of these applications include:
Asset tracking
Workforce tracking
Equipment monitoring
Inventory management
Automation
Operational analytics
Ultimately, what every organization is seeking is to turn raw operational data into information that aids in making informed business decisions.
Developing the Next Wave of Industrial Technology
To develop successful AIoT implementations, there is more required than just the technology itself-it requires an understanding of industrial operations combined with scalable software platforms.
Venture studios focused on the industrial innovation space will play an important role in combining AI, IoT, and the necessary industry expertise in order to develop and rapidly commercialize solutions to address actual operational issues.
If you're interested in learning more about the world of AIoT innovation and venture creation, Aperture Venture Studio details how they develop industrial technology companies:
https://apertureventurestudio.com/
The Future is Smart and Connected
As the industrial digital transformation continues, the focus will likely shift away from simply acquiring operational data and toward generation of the operational intelligence that drives quick, calculated decision-making.
AIoT represents the logical next step in enabling better decision making as well as increasing new opportunities for innovation within various industries.
How is your organization adopting AIoT? Are you still trying to overcome data collection, or are you implementing AI to drive operational decisions?
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