Artificial Intelligence Patent Portfolio Strategies of Amazon and Qualcomm, and AI Investments of Tencent

SKU ID :MIC-14722442 | Published Date: 12-Sep-2019 | No. of pages: 91
Table of Contents 1. AI Technology Overview 1.1 Neural Network 1.2 Expert System 1.3 Fuzzy Logic 1.4 Genetic Algorithm 2. Patent Mining 2.1 Patent Search 2.1.1 Selecting a Patent Database 2.1.2 Identifying Search Keywords 2.1.3 Data Selection 2.1.4 Data Analysis 3. Trend Analysis 3.1 Data Mining 3.1.1 Patent Distribution by Country 3.1.2 Patent Distribution by Sector and Field 3.1.3 Patent Distribution by Key Technology Field 3.1.4 Patent Distribution by Correlative Technology 3.2 R&D Readiness Analysis 3.2.1 R&D Intensity 4. Patent Portfolio Analysis 4.1 International Assignees 4.2 Development of Major Patent Assignees 4.2.1 IBM 4.2.2 Microsoft 4.2.3 Google 4.2.4 Siemens 4.2.5 Rockwell Automation 5. MIC Perspective 6. Company Profile of Amazon 7.Amazon Patent Portfolio Deployment 7.1 Patent Mining 7.2 Amazon Patent Portflio Analysis 7.2.1 Analysis by Field 7.2.2 Analysis by Core Technology 7.2.3 Analysis by Intelligent Application 7.3.4 Matrix Analysis of AI Technology with Intelligent Applications 8.Analysis of Amazon’s Investment Projects 9. Analysis of Amazon’s M&A Activities 10. MIC Perspective 11. Compay Profile of Qualcomm 12.Qualcomm Patent Portfolio Deployment 12.1 Patent Mining 12.2 Patent Analysis 12.2.1 Analysis by Field 12.2.2 Analysis by Core Technology 12.2.3 Analysis by Intelligent Application 12.2.4 Matrix Analysis of AI Technologies and Intelligent Applications 13. Analysis of Qualcomm’s Investment Projects 14. Analysis of Qualcomm’s M&A Activities 15. MIC Perspectives 16. Company Profile of Tencent 17.Organizational Development and AI Team 17.1 Organizational Resource Integration 17.2 AI Teams 17.2.1 Tencent AI Lab 17.2.2 Youtu Lab 17.3 Public Security 17.4 Facial Recognition 17.5 Online Content Review 17.6 Smart Retail 17.6.1 WeChat AI 18.Tencent's AI Products and Technologies 18.1 The Six Resources of Tencent's AI Ecosystem 18.2 AI Products 18.2.1 Smart Hardware 18.2.2 Smart Hiring 19.Tencent's AI Accelerator and Investment Strategy 19.1 AI Accelerator 19.2 Tencent's AI Investment Strategy 20. MIC Perspective Appendix Glossary of Terms List of Companies List of Tables Table 1: AI Patent Core Technology/Correlative Technology Matrix Analysis Table 2: R&D Intensity of Top 20 International AI Patent Assignees Table 3: R&D Intensity of Top 20 Taiwanese AI Patent Assignees Table 4: AI Patent/International Assignee Matrix Analysis Table 5: Amazon's Patent Counts by Technology, 2006 - 2017 Table 6: Patent Count by Application, 2006 - 2017 Table 7: Matrix Analysis of Amazon's AI Core Technologies with Intelligent Applications Table 8: Amazon’s Investments in Emerging Application Areas, 2013 - 2017 Table9: Amazon’s M&As and Deployments in Emerging Application Areas, 2013-2017 Table 10: Development of Qualcomm’s Core AI Technologies Table 11: Smart Application Areas of Qualcomm’s AI Technologies Table 12: Matrix Analysis of Qualcomm’s Core AI Technologies and Intelligent applications Table 13: Qualcomm Ventures’ Investment between 2013 and 2017 Table 14: Qualcomm’s M&A between 2013 and 2017 Table 15: Basic Information on Tencent Table 16: Organizational Structure of Tencent Table 17: Applications of Tencent AI Lab Table 18: Research Plans of Tencent AI Lab Table 19: Shared Technologies on the Tencent Open AI Platform Table 20: Smart Hardware Application Scenarios Table 21: Investment Targets of Tencent's AI Accelerator Table 22: Tencent's AI Investment Strategy List of Figures Figure 1: AI Patent Distribution Share by Country Figure 2: AI Patent Distribution Share of International Assignees by Sector Figure 3: AI Patent Distribution Share of Taiwanese Assignees by Sector Figure 4: AI Patent Distribution Share of International Assignees by Field Figure 5: AI Patent Distribution Share of Taiwanese Assignees by Field Figure 6: AI Correlative Patent Distribution Share by Technology Type: International Assignees Figure 7: AI Correlative Patent Distribution Share by Technology Type: Taiwanese Assignees Figure 8: Amazon’s Business Model Built around Customer Experience Figure 9: Amazon’s Revenue Breakdowns by Business Unit, 2012 - 2016 Figure 10: Amazon's Patent Count by Field Figure 11: Qualcomm’s Business Model Figure 12: Qualcomm’s Revenue Structure, 2012 - 2016 Figure 13: Qualcomm’s AI Patent Distribution Share by Field Figure 14: The Grandeye Security Platform Figure 15: Facial Recognition Verification Process Figure 16: Youtu’s AI Applications in Smart Retail Figure 17: The Six Resources of Tencent's AI Ecosystem Figure 18: Smart Hardware Program Figure 19: Features of Tencent's Smart Recruitment Technology
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