[과실연] AI 토크콘서트: 인공지능과 산업의 미래 (산업 AI)

과실연 AI 정책연구소에서 운영하는 AI 미래포럼입니다.
AI 미래포럼 16인 공동의장단과 함께하는 시민사회속으로

과실연 AI 미래포럼

Introducing the head of LG's AI research group, Plaid AI Research, and his role as co-chair of the Future Forum for Supervised AI

Inviting two leaders to talk about the AI industry

Introducing Jinwoo Park, Vice President of RTM and Joongki Choi, CEO of Daedong AI

Jinwoo Park talks about his role at RTM and his efforts to transform AI in manufacturing.

Choi Jung-ki introduces his career as head of KT's AI business and the establishment of Daedong AI Lab

Presentation by Jinwoo Park: Future Industries with Artificial Intelligence

What the future of manufacturing will look like with artificial intelligence

Introducing RTM and its commitment to transforming AI in manufacturing

Activities in various manufacturing industries, including semiconductors, secondary cells, displays, etc.

Demonstrate the difference between the negative perception of traditional manufacturing and the reality of innovative product production

Emphasize the importance of the manufacturing value chain and manufacturing functions

Manufacturing well: balancing productivity and quality

Explain the limits of productivity and quality and the difficulties of managing the high process complexity and yield in the semiconductor industry

Increasing data and the need for artificial intelligence

Envision a factory of the future that optimizes itself (self-optimizing)

The difficulty and low success rate of adopting AI technology (~30% success)

RTM's 3-Step Solution Proposal for AI Adoption Challenges

Step 1: Find the problem (defect, failure, etc.)

Step 3: Control changes and self-optimization

Implementation examples of solutions at each stage (PCB inspection, semiconductor equipment anomaly detection, food bakery line control)

Analyze differences in AI solution adoption by manufacturing sector (semiconductor, automotive, battery, etc.)

The future of manufacturing and its challenges

Where we are: CEO leadership drives AI adoption, specialized talent is scarce

Next steps: Increase engineer-driven AI utilization, improve ease of use

Next steps: Collaborating with AI, building AI-powered teams

How companies can adopt AI and gain competitive advantage (emphasizing the importance of data acquisition)

The future of precision agriculture with AI

CEO Choi Jung-ki introduces Daedong Group's AI utilization and discusses the company's current AI efforts.

Introducing the history and business areas of Daedong Group

Daedong Group's four platforms (Smart Farming, AI, Autonomous Work, Precision Farming)

Daedong's AI Goals: Easily Specialize in Agriculture, Accelerate Digital Transformation

The importance of embracing AI: Minimizing cost versus customer value

Explain the context and impact of introducing self-driving tractors

Vision-based autonomous driving technology development plan

Data collection and utilization (image, video data acquisition)

Plans to develop agricultural robots in various environments, including orchards

Developing a mechatronics-based autonomous driving platform

Explain the concept and global trends of precision agriculture

Introducing the current status of precision agriculture in Korea and Daedong's demonstration project

State of AI decision system development for precision agriculture

Ask Jinwoo Park about creating AI transformation value through collaboration with enterprises

We asked Choi about Daedong's preparation and strategy for AI adoption.

Common questions to both representatives about the challenges and solutions to spreading AI technology

Ask Choi about challenges and solutions to farmers' adoption of AI technology

We asked Park about how to overcome the reluctance of companies to adopt AI technology.

We asked Choi about the future of AI agents in agriculture.