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Amazon 39 s Patent Deployment Strategies for Artificial Intelligence and Its M and A Analysis
Published Date: March 2019
|
Report Code: MICR-Cons-46
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Amazon 39 s Patent Deployment Strategies for Artificial Intelligence and Its M and A Analysis

Amazon 39 s Patent Deployment Strategies for Artificial Intelligence and Its M and A Analysis

Code: MICR-Cons-46
Report
March 2019
Pages:24
Market Intelligence and Consulting Institute
Description
Table of Content
Tables & Figures

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.

Table of Contents
1.Company History
2.Patent Deployment
2.1 Patent Mining
2.2 Patent Analysis
2.2.1 Analysis by Field
2.2.2 Analysis by Core Technology
2.2.3 Intelligent Applications
2.3.4 Matrix Analysis of AI Technology with Intelligent Applications
3.Analysis of Amazon’s Investment Projects
4. Analysis of Amazon’s M&A Activity
5. MIC Perspectives
Appendix
Glossary of Terms
List of Companies
List of Tables
Table 1 Amazon's Patent Counts by Technology, 2006 - 2017
Table 2 Patent Count by Application, 2006 - 2017
Table 3 Matrix Analysis of Amazon's AI Core Technologies with Intelligent Applications
Table 4 Amazon’s Investments in Emerging Application Areas, 2013 - 2017
List of Figures
Figure 1 Amazon’s Business Model Built around Customer Experience
Figure 2 Amazon’s Revenue Breakdowns by Business Unit, 2012 - 2016
Figure 3 Amazon's Patent Count by Field

List Of Topics:-

Amazon's patent portfolios in AI and includes its patent distribution by field, technology, and intelligence application Overview of Amazon's investments and includes its patent distribution in emerging fields Amazon AI patents' six key technology and three intelligent application matrix Analysis of implications behind Amazon's investments and M&A activities for the period 2013-2017

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