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Amazon’s Patent Deployment Strategies for Artificial Intelligence and Its M and 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.

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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

2lemetry, Amazon, Amiato, Angel.ai, Annapurna Labs, AppThwack, Biba, Body Labs, Cloud9 IDE, Clusterk, Comixology, DefinedCrowd, Do, Double Helix Games, Elemental Technologies, Embodied, Emvantage Payments, Evi, GameSparks, Goodreads, GraphiqHarvest.ai, Ivona Text-To-Speech, KITT, Liquavista, NICE, OpenDNA, Orbeus, Rooftop Media, Safaba Translation Solutions, Shoefitr, Souq.com, TenMarks Education, Thinkbox Software, Twitch, United States Patent and Trademark Office, Whole Foods Market, World Intellectual Property Organization

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Table of Content:

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:

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

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

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