Intersection of Explainable AI and Internet of Things for Better Industrial Management
In the last few years, the industrial sector has started to change rapidly with the adoption of new technologies, and the Internet of Things (IoT) is one of the most prominent driving forces behind this change. With the IoT, industrial organizations are able to connect and manage a vast array of devices and sensors in order to collect data and optimize their business processes. However, as the IoT continues to grow and become more complex, the need for Explainable AI is also increasing.
Explainable AI is AI that can provide explanations for its predictions and decisions. This is important in the industrial sector because there are often safety and regulatory requirements that need to be met. Furthermore, with the IoT, there is a large amount of data being generated, and it can be difficult for humans to make sense of it all. Explainable AI can help by providing insights that can guide decision–making.
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The combination of the IoT and explainable AI has the potential to transform industrial organization. For example, imagine a manufacturing plant that uses the IoT to connect all of its machines and sensors. The data collected by the IoT can be used to improve the efficiency of the manufacturing process by identifying bottlenecks and optimizing resources. However, if there are issues with the quality of the products being produced, it can be difficult to determine the root cause without the help of explainable AI.
Explainable AI can analyze the data and provide explanations for why the products are not meeting the desired quality standards. This would allow the organization to make the necessary changes to improve the quality of their products. In addition to improving efficiency and quality, the IoT and explainable AI can also help to improve safety in industrial organizations. For example, if there is a fire in a factory, the IoT can be used to detect it and notify the proper authorities. However, if the cause of the fire is not immediately apparent, explainable AI can be used to analyze the data and provide an explanation. This would help to ensure that the proper steps are taken to prevent future fires. The IoT and explainable AI are already starting to have a positive impact on the industrial sector.
However, there is still much potential for further improvement. As the IoT continues to grow and become more complex, the need for explainable AI will also continue to increase. Organizations that are able to harness the power of the IoT and explainable AI will be well–positioned to improve their efficiency, quality, and safety.
If you are looking for an IoT platform that incorporates explainable AI, consider ViSenze. ViSenze is a leading provider of image recognition and visual search solutions. This technology is used by some of the largest online retailers and brands in the world.
