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[행사] [2022.5.12(THU)]Artificial Intelligence & AI Convergence Network Colloquium 개최 안내(5/12)

  • 소프트웨어융합대학교학팀
  • 김성민
  • Create Date 2022-05-10
  • Views 1320

< Artificial Intelligence & AI Convergence Network Colloquium > 

 

* 주제: Towards Operational AI in Manufacturing
* 일시: 2022년 5월 12일(목), 오후 4시 30분
* 강연자: 윤성호(마키나락스 대표)
* Zoom 회의 참가
  
https://ajou-ac-kr.zoom.us/j/8939727285?pwd=K3F3VVVjMUQrbXJVa1ZsQXNwWE4xdz09
  회의 ID: 893 972 7285
  암호: 3898

* Abstract
The adoption of AI in the manufacturing sector is accelerating. The pandemic has incited more
than 75% of manufacturing companies to integrate digital enablers such as the cloud, data
analytics, and AI. However, considering the operational challenges of ML, or MLOps (Machine
Learning Operations), the incorporation of AI into a company is a difficult task.
This presentation focuses on MLOps, a set of practices and frameworks to bring experimental
ML into production, in the manufacturing industry. We first introduce the importance of MLOps
in the adoption of AI, then explain how such challenges may be overcome by providing Deep
Learning and Reinforcement Learning use-cases.
 
* Bio
Andre Yoon is a tech entrepreneur with a strong engineering and science background. Upon
graduating from MIT with a Ph.D. in Physics, he joined Samsung Electronics to develop high
performance solid-state drives (SSDs) and intelligent storage systems far exceeding
conventional storage in performance. Andre's vision of delivering transformative values with
machine intelligence has driven him to spend his career defining problems and creating
solutions, focusing on the capabilities of data science and machine learning. This led his
career towards building software solutions for industrial applications as the Lead Data
Scientist at SK Telecom, and founding MakinaRocks.

* Host: 정보통신대학 소프트웨어학과 이석원 교수(leesw@ajou.ac.kr)