class: title-slide, left, bottom # AI와 디지털 기업 ---- ## **Competiting in the age of AI** ### 이광춘 ### 2021-08-27 --- class: inverse, middle name: data-science-case # 발표 개요 ---- .pull-left[ 알파고가 2016년 이세돌 9단을 가볍게 승리하면서 **AI 디지털 경제전환**이 촉발되었다면 코로나19는 .red[**디지털 경제전환**]을 가속화를 넘어 디지털 불평등도 심화시키고 있다. AI 디지털 경제전환 시대 .warmyellow[**디지털 기업**]을 이해하는데 꼭 필요한 .green[**인공지능**] 기술적 토대를 살펴보고 전통기업과 비교하여 상대적으로 디지털 기업을 이해해 보자. ] .pull-right[ .left[ 1\. **[.red[디지털 경제전환 (DT)]](#digital-transformation)** 2\. [인공지능 (AI)](#digital-ai) 3\. **디지털 기업** &nbsp;&nbsp;&nbsp; 3\.1\. [레고, Building Block](#digital-company-lego) &nbsp;&nbsp;&nbsp; 3\.2\. [전통 기업](#digital-company-old-school) &nbsp;&nbsp;&nbsp; 3\.3\. [디지털 AI 기업](#digital-company-new-school) 4\. 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AI 디지털 경제전환 시대 .warmyellow[**디지털 기업**]을 이해하는데 꼭 필요한 .green[**인공지능**] 기술적 토대를 살펴보고 전통기업과 비교하여 상대적으로 디지털 기업을 이해해 보자. ] .pull-right[ .left[ 1\. [디지털 경제전환 (DT)](#digital-transformation) 2\. **[.green[인공지능 (AI)]](#digital-ai)** 3\. **디지털 기업** &nbsp;&nbsp;&nbsp; 3\.1\. [레고, Building Block](#digital-company-lego) &nbsp;&nbsp;&nbsp; 3\.2\. [전통 기업](#digital-company-old-school) &nbsp;&nbsp;&nbsp; 3\.3\. [디지털 AI 기업](#digital-company-new-school) 4\. [마무리](#digital-goodbye) ] ] <!--end of right-column--> --- name: ml-overview # AI / ML / 통계 <br> .center[ <img src="fig/ai-ml-statistics.png" alt="AI > ML > Statistics" alt="100%" /> ] --- name: ml-sofware # 소프트웨어 1.0과 2.0 - 소프트웨어 1.0: 사람이 직접 규칙(Rule)을 작성하여 똑똑한 시스템 개발 - 소프트웨어 2.0: 데이터에서 딥러닝 알고리즘을 활용 기계가 알고리즘(Algorithm) 제작 .center[ <img src="fig/programming_machine_learning_comparison.png" width="77%"> ] .footnote[ [궁극의 주인이 될 알고리즘(Master Algorithm)](https://statkclee.github.io/ai-lab/master-algorithm.html) ] --- name: ml-bigdata-ml # 빅데이터와 기계학습 .center[ <img src="fig/intree-xy-f.png" alt="정형데이터와 비정형 데이터, 그리고 기계학습" width="90%"> ] .footnote[ - [데이터 가져오기](https://statkclee.github.io/ingest-data/) - [직사각형 데이터](https://statkclee.github.io/data-science/) - [텍스트 데이터](https://statkclee.github.io/text/) - [네트워크 데이터](https://statkclee.github.io/network/) - [지리정보 데이터](https://statkclee.github.io/spatial/) - [이미지 데이터](https://statkclee.github.io/trilobite/) - 오디오/소리 데이터 - ... ] --- name: ml-deep-learning # 딥러닝(Deep Learning) .center[ <img src="fig/three-pillars.png" width="90%"> ] .footnote[ [xwMOOC 딥러닝과 `\(H_2 O\)`](http://statkclee.github.io/deep-learning/) ] <!-------------------------- 디지털 기업 -----------------------------------------> ```{r child='slideshows/ai_company/ai-company-lego.Rmd'} ``` --- class: inverse, middle name: digital-company-lego # 발표 개요 ---- .pull-left[ 알파고가 2016년 이세돌 9단을 가볍게 승리하면서 **AI 디지털 경제전환**이 촉발되었다면 코로나19는 .red[**디지털 경제전환**]을 가속화를 넘어 디지털 불평등도 심화시키고 있다. AI 디지털 경제전환 시대 .warmyellow[**디지털 기업**]을 이해하는데 꼭 필요한 .green[**인공지능**] 기술적 토대를 살펴보고 전통기업과 비교하여 상대적으로 디지털 기업을 이해해 보자. ] .pull-right[ .left[ 1\. [디지털 경제전환 (DT)](#digital-transformation) 2\. [인공지능 (AI)](#digital-ai) 3\. **디지털 기업** &nbsp;&nbsp;&nbsp; 3\.1\. [레고, Building Block](#digital-company-lego) &nbsp;&nbsp;&nbsp; 3\.2\. **[.warmyellow[전통 기업]](#digital-company-old-school)** &nbsp;&nbsp;&nbsp; 3\.3\. [디지털 AI 기업](#digital-company-new-school) 4\. [마무리](#digital-goodbye) ] ] <!--end of right-column--> --- name: digital-traditional-company # 전통기업: 사업 모형 .center[ <img src="fig/digital-business-model.png", width="67%" /> ] --- name: digital-traditional-company-om # 전통기업: 운영 모형 .center[ <img src="fig/digital-operating-model.png", width="87%" /> ] --- name: digital-traditional-company-bm-om # 전통기업: BM &rarr; OM <br> <br> .center[ <img src="fig/digital-bm-om.png", width="100%" /> ] --- name: digital-traditional-company-problem # 전통기업: 문제점 <br> <br> .center[ <img src="fig/traditional-value-of-firm.png", width="100%" /> ] --- name: digital-traditional-company-problem # 전통기업: 근본 원인 <br> .center[ <img src="fig/traditional-om.png", width="100%" /> ] --- name: digital-collision # 전통기업: 디지털 운영 모형 전환 <br> .center[ <img src="fig/digital-transformation-om.png", width="100%" /> ] --- class: inverse, middle name: digital-company-lego # 발표 개요 ---- .pull-left[ 알파고가 2016년 이세돌 9단을 가볍게 승리하면서 **AI 디지털 경제전환**이 촉발되었다면 코로나19는 .red[**디지털 경제전환**]을 가속화를 넘어 디지털 불평등도 심화시키고 있다. AI 디지털 경제전환 시대 .warmyellow[**디지털 기업**]을 이해하는데 꼭 필요한 .green[**인공지능**] 기술적 토대를 살펴보고 전통기업과 비교하여 상대적으로 디지털 기업을 이해해 보자. ] .pull-right[ .left[ 1\. [디지털 경제전환 (DT)](#digital-transformation) 2\. [인공지능 (AI)](#digital-ai) 3\. **디지털 기업** &nbsp;&nbsp;&nbsp; 3\.1\. [레고, Building Block](#digital-company-lego) &nbsp;&nbsp;&nbsp; 3\.2\. [전통 기업](#digital-company-old-school) &nbsp;&nbsp;&nbsp; 3\.3\. **[.warmyellow[디지털 AI 기업]](#digital-company-new-school)** 4\. [마무리](#digital-goodbye) ] ] <!--end of right-column--> --- name: digital-network-ai-company # 디지털 AI 기업: AI 공장과 운영모형 <br> <br> .center[ <img src="fig/ai-factory-om.png", width="100%" /> ] --- name: digital-network-om # 디지털 AI 기업: 운영모형 + 네트워크 효과 .center[ <img src="fig/network-effect-digital.png", width="100%" /> ] --- name: digital-value # 디지털 AI 기업: 가치(Value), 효용(Utility) .center[ <img src="fig/network-ai-value.png", width="87%" /> ] --- name: digital-value # 디지털 AI 기업: 운영모형 <br> .center[ <img src="fig/ai-network-om.png", width="100%" /> ] --- name: digital-value # 디지털 AI 기업: 운영모형 비교 <br> .center[ <img src="fig/digital-ai-om.png", width="100%" /> ] <!-------------------------- 마무리 -----------------------------------------> --- name: digital-goodbye class: middle, inverse .pull-left[ # **경청해 주셔서 <br>감사합니다.** <br/> ## Tidyverse Korea ] .pull-right[ .right[ <img style="border-radius: 100%;" src="fig/Tidyverse_Korea_logo_transparent.png" width="300px"/> ] ]