Addressing Baumol's Cost Disease with Machine Learning Startups!
⏱ 59 min-
Byunghak Kim | AKASA, AI Technology Lead
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- Those who are curious about the correlation between Baumol's Cost Disease and machine learning
- Those who are curious about machine learning development methods that contribute to service-intensive industries
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- A methodology for machine learning to solve production and efficiency problems in healthcare
- Those who are curious about the correlation between Baumol's Cost Disease and AI
The 'Treasure Cost of Disease Theory' states that if deposits rise as labor productivity and efficiency in one sector increases, other sectors with slower productivity growth, such as service-intensive industries (healthcare, education, etc.), will also come under pressure to increase deposits. This session introduces research and efforts to address the impact of the 'cost of treasure disease theory' in service-intensive industries. We present the upcoming role of machine learning with examples of how AI can solve more productivity and efficiency challenges in healthcare. Resolve the cost-disease theory of treasure in our society through Q&A, and find out through this session, from measures that can be applied to the Korean medical system to how startups scale up.