| dc.contributor.advisor | 尚孝純 | zh_TW |
| dc.contributor.advisor | Shang, Shari | en_US |
| dc.contributor.author (Authors) | 楊士毅 | zh_TW |
| dc.contributor.author (Authors) | Yang, Shih-Yi | en_US |
| dc.creator (作者) | 楊士毅 | zh_TW |
| dc.creator (作者) | Yang, Shih-Yi | en_US |
| dc.date (日期) | 2018 | en_US |
| dc.date.accessioned | 2-Feb-2018 11:07:38 (UTC+8) | - |
| dc.date.available | 2-Feb-2018 11:07:38 (UTC+8) | - |
| dc.date.issued (上傳時間) | 2-Feb-2018 11:07:38 (UTC+8) | - |
| dc.identifier (Other Identifiers) | G0104933022 | en_US |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/115733 | - |
| dc.description (描述) | 碩士 | zh_TW |
| dc.description (描述) | 國立政治大學 | zh_TW |
| dc.description (描述) | 國際經營管理英語碩士學位學程(IMBA) | zh_TW |
| dc.description (描述) | 104933022 | zh_TW |
| dc.description.abstract (摘要) | There were many technical events held in 2017, like 2017 COMPUTEX, Google I/O, Microsoft Design Forum…etc., and Artificial intelligence (AI) is one of the most concerned and hottest topics in these events. There is no doubt that in the next few years, AI technology and its further developments will be the major focus in the science and technology industry. As AI technology brings in a lot of new applications and develops commercial values, for the server industry and corresponding supply chain, it will lead to a new wave and benefit the whole ecosystem.Although the growth rate of desktop and laptop computer slows down and smartphone market starts to saturate, the demand for data processing and computing continues to grow. Large datacenter, server hardware and cloud applications supported at the back-end could still keep their momentum of growth. Taiwan-based original design manufacturers (ODMs) maintain a stable growth rate in 90% of the worldwide server manufacturing and many new business models evolved in order to fulfill the demands brought by artificial intelligence (AI).The aim of this study is to analyze the positive and negative impacts of AI technology on server industry, and will focus on four major groups in the industry: datacenter customers, OEM, ODM and component suppliers. | en_US |
| dc.description.tableofcontents | 1. Introduction 71.1. Research Motivation 71.2. Research Process 82. Literature Review 92.1. Global Manufacturing and Collaborative Cluster 92.2. Mergers and Acquisitions 123. Server Industry Overview 153.1. Worldwide Server Market 153.2. Supply Chain and Ecosystem 233.3. Working Models 294. Artificial Intelligence Development Status 384.1. AI Market Outlook 384.2. AI Technology and Impact 404.3. AI Hardware Requirement 445. Research Methodology 475.1. Research Design 475.2. Data Collection 485.3. Data Analysis 536. Multiple Case Studies from Various Aspects 546.1. Datacenter Case: Facebook 546.1.1. Facebook’s AI Development 546.1.2. Facebook’s AI Hardware Design 556.1.3. Facebook & Quanta Collaborations 566.2. OEM Case: HPE 576.2.1. HPE’s AI Development 576.2.2. HPE’s AI Hardware Design 596.2.3. HPE’s Collaboration and Competition 606.3. Component Vendor Case: NVIDIA 636.3.1. NVIDIA’s AI Development 636.3.2. NVIDIA’s AI Hardware Design 646.3.3. NVIDIA’s Dual Position in AI Field 666.3.4. NVIDIA’s Partnership 696.4. ODM Case: QUANTA 716.4.1. Quanta’s AI Development 716.4.2. Quanta’s AI Hardware Design 736.4.3. Quanta’s Partnership 747. Discussed Questions 778. Reference 79 | zh_TW |
| dc.source.uri (資料來源) | http://thesis.lib.nccu.edu.tw/record/#G0104933022 | en_US |
| dc.subject (關鍵詞) | 人工智慧 | zh_TW |
| dc.subject (關鍵詞) | 資料中心 | zh_TW |
| dc.subject (關鍵詞) | 現成 | zh_TW |
| dc.subject (關鍵詞) | 雲端服務供應商 | zh_TW |
| dc.subject (關鍵詞) | Artificial Intelligence | en_US |
| dc.subject (關鍵詞) | Datacenter | en_US |
| dc.subject (關鍵詞) | Off-the-shelf | en_US |
| dc.subject (關鍵詞) | Cloud service provider | en_US |
| dc.title (題名) | 人工智慧技術對伺服器產業影響之研究 | zh_TW |
| dc.title (題名) | A study of the impact of ai technology on server industry | en_US |
| dc.type (資料類型) | thesis | en_US |
| dc.relation.reference (參考文獻) | [1] S. A. S. Board., "ELECTRONIC MANUFACTURING SERVICES & ORIGINAL DESIGN MANUFACTURING," 2014.[2] E. Wolf, "International Business: Environments and Operations," ed: Addison-Wesley Publishing Company, Inc, 1994.[3] C. Ucler and O. Vayvay, "Collaborative clusters: A customer focused innovative approach for product development," in World Congress on Engineering, 2008, vol. 2, pp. 1278-1283.[4] 大陆腾讯研究院., "中美两国人工智能产业发展全面解读," p. 50, 2017.[5] S. Sudarsanam, Creating value from mergers and acquisitions: The challenges: An integrated and international perspective. Pearson Education, 2003.[6] A. Laeser, "Managing Culture Clashes in Mergers and Acquisitions," 2012.[7] DIGITIMES., "2017~2022年全球伺服器出貨量年複合成長率將約6.5%," 2017.[8] S. R. Group., "Data Center Infrastructure Market is Low Growth, but Public Cloud Blossoms," 2017.[9] A. Services., "Server Manufacturing Levels Defined," 2017.[10] Tractica/statista., "Revenues from the artificial intelligence market worldwide, from 2016 to 2015," 2017.[11] C. Insights., "The Race For AI: Google, Baidu, Intel, Apple In A Rush To Grab Artificial Intelligence Startups," 2017.[12] M. Zuckerberg, "Facebook just showed us its 10-year road map in one graphic," 2016. | zh_TW |
