Artificial Intelligence: Patents, Business Opportunity, and Brand Strength Analysis
"Artificial
Intelligence: Patents, Business Opportunity, and Brand Strength
Analysis"
The Report covers current Industries Trends, Worldwide Analysis,
Global Forecast, Review, Share, Size, Growth, Effect.
Description-
One
of the most talk-about news in 2016 is how Google's AlphaGo beat Lee
Sedol, a Go world champion in March. The first known example of AI
(Artificial Intelligence) technology defeating a human brain can be
tracked back to 1997 when IBM's chess computer Deep Blue won world
chess champion Garry Kasparov. In the IoT (Internet of Things) age,
AI is a major accelerator to smarten up electronics products, leading
to the emergence of smart cars, smart elevators, smart home
appliances, smart pets, smart robots, smartphones, and more. This
report provides an overview of AI through thorough patent data mining
techniques to reflect major vendors' patent deployment and technology
readiness; examines the strategic planning and challenges of leading
AI companies such as Microsoft, IBM, Google, Canon, Xerox, Sony,
Oracle, and SAP. Also included are the insights about market
opportunities of AI for newcomers.
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Table
of Content
1.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 Key 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. Conclusion
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 Key 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. Conclusion
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