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Amazon's Patent Deployment Strategies for Artificial Intelligence and Its M&A Analysis

Amazon's Patent Deployment Strategies for Artificial Intelligence and Its M&A Analysis

Amazon Technologies started as an online bookshop and has been devoted to developing in-house technologies, making strategic investment in startups, and acquiring other companies to fulfill its promise of putting the customer first. These efforts have successfully turned Amazon Technologies into an e-commerce company and a cloud platform provider. In the wake of the widespread adoption of AI (Artificial Intelligence) in emerging applications, which has imposed a significant impact on the industry, the company has spared no effort to invest in AI so as to seize the market opportunity. This report provides an overview of the technology and patent deployment of Amazon pertaining to AI; analyzes Amazon's patent portfolios in the areas of neural networks, genetic algorithm, knowledge engineering, fuzzy logic, machine learning, and natural language processing; examines its recent investments and M&A activities to better understand the company's strategic deployment in AI for the future.


  • COMPANY HISTORY
  • PATENT DEPLOYMENT
    • Patent Mining
    • Patent Analysis
      • Analysis by Field
      • Analysis by Core Technology
        • Table Amazon's Patent Counts by Technology, 2006 – 2017
      • Intelligent Applications
        • Table Patent Count by Application, 2006 – 2017
      • Matrix Analysis of AI Technology with Intelligent Applications
        • Table Matrix Analysis of Amazon's AI Core Technologies with Intelligent Applications
  • ANALYSIS OF AMAZON'S INVESTMENT PROJECTS
    • Table Amazon's Investments in Emerging Application Areas, 2013 – 2017
  • ANALYSIS OF AMAZON'S M&A ACTIVITY
    • Table Amazon's M&As and Deployments in Emerging Application Areas, 2013-2017
  • MIC PERSPECTIVES
    • The Customer Experience/Low Price Bundle Results in High Revenue but Low Profit Margin
    • Investments in AI Applications Focus on Machine Learning and Natural Language Processing
    • AI M&As Focuses on Machine Learning and Natural Language Processing; Non-AI M&As on Organic Food Stores
    • Natural Language Processing Patents Ranked No.1, Followed by Knowledge-based Model Patents; Little Growth in Machine Learning Patents
    • Communications-related Patents Top the List, Followed by Audio-visual Technology; Food and Logistics Patents Remain Low
  • APPENDIX
    • Glossary of Terms
    • List of Companies

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