“The combination of cloud and AI can reduce carbon dioxide emissions by analyzing energy consumption data to reduce power consumption, detect anomalies and inspect product quality in manufacturing, and increase efficiency through efficient logistics management and supply chain management.”

Lee Ju-ha, head of Cloud Flare Customer Headquarters, presented on ‘Manufacturing Innovation Using AI Data Cloud’ at the ‘2025 e4ds IIoT Innovation Day-Part2’ event held at COEX on March 12.

Lee Ju-ha, head of the customer headquarters, said, “The recent rapid development of AI technology is having a significant impact on various industries,” and “In particular, the combination of cloud technology and AI is bringing about innovation in various fields such as manufacturing, healthcare, and smart cities.”

Cloud technology began to take off in earnest in the 1990s with the transition to an OS and the development of subscription businesses, and cloud services began to become more sophisticated as virtualization technology developed based on the Linux OS.

This shift accelerated with the proliferation of mobile devices in 2007, and the digital transformation has accelerated further since the COVID pandemic.

Recently, AI technology has been gaining attention along with the ChatGPT boom, and AI is gaining attention worldwide. Preparation has become essential.

AI technology is being used in various fields.

AI supports everything from content creation, graphics, music, video, and document creation to voice assistance.

AI plays a particularly important role in large-scale data analysis and is being used in various industries such as manufacturing, healthcare, and smart cities.

The core of AI technology lies in securing GPUs, and AI models can be operated efficiently through cloud services.

Business applications utilizing AI models are possible without building large-scale data centers.

AI can also automate a wide range of tasks, from content creation to logos, graphics, music, videos, document creation, and even developer code generation.

The combination of cloud and AI is bringing about major changes in manufacturing, smart cities, healthcare, and more.

For example, in a smart factory, AI uses sensor data to perform analysis, anomaly detection, and product quality inspection.

In the healthcare field, AI can analyze data from wearable devices to enable real-time health monitoring.

AI also plays an important role in energy management. AI analyzes energy consumption data and helps reduce unnecessary power consumption through real-time monitoring.

This can help reduce carbon dioxide emissions.

In smart cities, AI can be used for efficient logistics management and supply chain management to increase urban efficiency.

“The advancement of AI technology is expected to bring about great changes in various industries in the future,” said Lee Ju-ha, head of Cloud Flare’s customer headquarters. “The combination of AI and cloud technology will bring about greater innovation and efficiency, and through this, we will create a smarter world.”

“Cloud Flare uses edge computing to support AI analytics and real-time manufacturing equipment network analytics,” he continued. “Because it is closer to the end-user touchpoint, it can be operated more efficiently.”