Artificial Intelligence (AI) is a technology that artificially implements human learning, reasoning, and perception abilities by creating a computerized brain to perform tasks that we do. Traditional machine learning technology is a structure where machine learning models developed by skilled developers learn based on provided training data. However, with the advancement of technology, AI can now generate optimal AI models (AutoML) and automatically manage (MLOps) the generated AI models. The development of these two technologies is accelerating the advancement of advanced AI development.
AutoML solutions are 'AI creating AI' solutions. AutoML allows AI to extract data features and select appropriate algorithms for learning, then generate the most suitable AI model for development goals through evaluation of the trained models. Specifically, the solution includes technology for data design, data preprocessing, data feature understanding, data feature engineering, algorithm selection, hyperparameter optimization (HPO), and model evaluation, which enables the creation of improved AI.
[Image] Overview of AutoML Technology
MLOps solutions are 'AI managing AI' solutions. MLOps combines machine learning models (ML) and Ops (operations). To transition existing research machine learning models (Research ML) into commercialized production machine learning models (Production ML) and simplify and maintain the process, MLOps is the solution to manage them. MLOps automates maintenance, management, and additional learning.
[Image] Overview of MLOps Technology
Korean MLOps company DeepAuto (CEO Hwang Seong-joo, Jeong Won-yong) has successfully secured investment (Seed stage, undisclosed scale) from Naver D2F (D2 Startup Factory). DeepAuto's MLOps applies AI models to developed solutions for companies and automates the entire cycle, including data processing and learning, model exploration and optimization, deployment, and more. In particular, DeepAuto's AutoMLOps is composed of a more efficient process than other solutions and has proven to be more effective than big tech companies. Recently, it was selected for the 'Deep Tech Tips' program and successfully received funding of 1.5 billion won. DeepAuto has already secured partnerships with Samsung Advanced Institute of Technology, Cheil Worldwide, and StradVision, and is currently recruiting personnel for expansion into the United States.
[Image] DeepAuto's cloud workspace
In addition Korean companies' development of AutoML and MLOps-related technologies is active. Ten Co., Ltd. (CEO Oh Se-jin) is a company that develops customized MLOps solutions, applying AI learning data and assetization technology to automatically produce learning-tailored metadata and conduct transactions. Recognized for its technological capabilities, it successfully raised investment (Pre-A, 3 billion won). DS Lab Global Co., Ltd. (CEO Yeo Seung-gi) has developed auto-labeling technology, which applies learning data generation technology and auto-labeling technology to allow even non-experts to easily develop AI. Thus, the development of AutoML and MLOps technologies for creating and managing AI is active.
[Image] Example of Ten Co., Ltd.'s MLOps Solution Model and DS Lab Global's AutoML Structure
Korean government is formulating various policies to foster the AI industry, such as the National AI Strategy (Dec. '19), to enhance competitiveness. It is mobilizing the entire government's capabilities with nine strategies in three major fields and 100 execution tasks to execute the national future vision and strategy for the AI era. Moreover, aiming for a paradigm shift in all areas of industry and society, the government aims to create a maximum economic effect of 455 trillion won by 2030 and leap into the top 10 in the world in terms of quality of life through AI. Additionally, by 2030, the government plans to distribute 3,000 AI-based smart factories and formulate plans to support innovation driven by AI utilization in manufacturing and SMEs, providing strong policy support.
As of 2024, BLT Law Firm has been a partner chosen by more than 2,000 innovative startups, supporting IP acquisition and strategy formulation, as well as investment attraction, technology special listing, and other business support utilizing IP to drive corporate growth and success.
'BLT insight' introduces a recently invested technology field every week.
If you have any questions about the Korean market or related to intellectual property rights, please ask your questions via the link below:
www.BLT.kr/contact
Or, you can inquire by emailing shawn@BLT.kr
Artificial Intelligence (AI) is a technology that artificially implements human learning, reasoning, and perception abilities by creating a computerized brain to perform tasks that we do. Traditional machine learning technology is a structure where machine learning models developed by skilled developers learn based on provided training data. However, with the advancement of technology, AI can now generate optimal AI models (AutoML) and automatically manage (MLOps) the generated AI models. The development of these two technologies is accelerating the advancement of advanced AI development.
AutoML solutions are 'AI creating AI' solutions. AutoML allows AI to extract data features and select appropriate algorithms for learning, then generate the most suitable AI model for development goals through evaluation of the trained models. Specifically, the solution includes technology for data design, data preprocessing, data feature understanding, data feature engineering, algorithm selection, hyperparameter optimization (HPO), and model evaluation, which enables the creation of improved AI.
[Image] Overview of AutoML Technology
MLOps solutions are 'AI managing AI' solutions. MLOps combines machine learning models (ML) and Ops (operations). To transition existing research machine learning models (Research ML) into commercialized production machine learning models (Production ML) and simplify and maintain the process, MLOps is the solution to manage them. MLOps automates maintenance, management, and additional learning.
[Image] Overview of MLOps Technology
Korean MLOps company DeepAuto (CEO Hwang Seong-joo, Jeong Won-yong) has successfully secured investment (Seed stage, undisclosed scale) from Naver D2F (D2 Startup Factory). DeepAuto's MLOps applies AI models to developed solutions for companies and automates the entire cycle, including data processing and learning, model exploration and optimization, deployment, and more. In particular, DeepAuto's AutoMLOps is composed of a more efficient process than other solutions and has proven to be more effective than big tech companies. Recently, it was selected for the 'Deep Tech Tips' program and successfully received funding of 1.5 billion won. DeepAuto has already secured partnerships with Samsung Advanced Institute of Technology, Cheil Worldwide, and StradVision, and is currently recruiting personnel for expansion into the United States.
[Image] DeepAuto's cloud workspace
In addition Korean companies' development of AutoML and MLOps-related technologies is active. Ten Co., Ltd. (CEO Oh Se-jin) is a company that develops customized MLOps solutions, applying AI learning data and assetization technology to automatically produce learning-tailored metadata and conduct transactions. Recognized for its technological capabilities, it successfully raised investment (Pre-A, 3 billion won). DS Lab Global Co., Ltd. (CEO Yeo Seung-gi) has developed auto-labeling technology, which applies learning data generation technology and auto-labeling technology to allow even non-experts to easily develop AI. Thus, the development of AutoML and MLOps technologies for creating and managing AI is active.
[Image] Example of Ten Co., Ltd.'s MLOps Solution Model and DS Lab Global's AutoML Structure
Korean government is formulating various policies to foster the AI industry, such as the National AI Strategy (Dec. '19), to enhance competitiveness. It is mobilizing the entire government's capabilities with nine strategies in three major fields and 100 execution tasks to execute the national future vision and strategy for the AI era. Moreover, aiming for a paradigm shift in all areas of industry and society, the government aims to create a maximum economic effect of 455 trillion won by 2030 and leap into the top 10 in the world in terms of quality of life through AI. Additionally, by 2030, the government plans to distribute 3,000 AI-based smart factories and formulate plans to support innovation driven by AI utilization in manufacturing and SMEs, providing strong policy support.
As of 2024, BLT Law Firm has been a partner chosen by more than 2,000 innovative startups, supporting IP acquisition and strategy formulation, as well as investment attraction, technology special listing, and other business support utilizing IP to drive corporate growth and success.
'BLT insight' introduces a recently invested technology field every week.
If you have any questions about the Korean market or related to intellectual property rights, please ask your questions via the link below:
www.BLT.kr/contact
Or, you can inquire by emailing shawn@BLT.kr