인피니언 8월20일부터
웨비나

[2024 IIoT Innovation DAY] Cloud Native-Based Edge Solution for Smart Manufacturing Industry

2024.03.27 10:30~12:00 최근홍 지사장 / e4ds

※The content of this event is identical to the conference held on Wednesday, March 27, 2024, and Friday, March 29, 2024.


Part.2 Data Management and Cloud Infrastructure Strategy for Manufacturing Digital Transformation

Smart factories have countless IoT devices continuously collecting data on manufacturing processes connected to them, generating large volumes of data on an ongoing basis. The collected data is analyzed and utilized for process optimization and ultimately serves as a critical factor in improving productivity and quality in smart factories.

To efficiently manage data, enterprises are adopting cloud solutions to utilize various IT resources such as servers, storage, and AI on an on-demand basis.

Recently, the adoption of private cloud has been increasing to simultaneously leverage the advantages of public cloud and on-premises environments due to cloud security threats and cost concerns. Through private AI in a private environment, enterprises can secure competitiveness by satisfying the benefits of AI, data privacy, and performance within predictable costs.

Cloud providers have reached the point of offering platforms that integrate and manage all functions in hybrid infrastructure combining these diverse types of environments.

Hybrid cloud ensures interconnectivity across different environments, and enterprises can benefit from edge computing through hybrid cloud. For instance, rather than continuously sending data generated from IoT sensors to a central server, processing the data first on a computing server located closer to the sensors enables more real-time and stable data management. 

Meanwhile, as cyber security threats have become more sophisticated, the adoption of solutions that protect applications and APIs, such as zero-trust security, has emerged as an important issue.

This conference will examine cloud infrastructure building trends for manufacturing digital transformation and discuss data analysis, management methods, and security strategies through each company's solutions in the manufacturing field.



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