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Baidu Conversational AI System: Patent Deployment Trends and Strategies

  • Report

  • 19 Pages
  • March 2019
  • Region: Global
  • Market Intelligence & Consulting Institute (MIC)
  • ID: 4759288

Baidu has been actively investing in AI (Artificial Intelligence) technology and application development in recent years to help the company get one step closer to its goal of "All in AI". In 2017, DuerOS, Baidu's conversational operating system, was launched to provide voice recognition and conversational solutions for IoT (Internet of Things) applications. Through cooperation with Qualcomm, NVidia, and Intel, Baidu strives to promote widespread adoption of DuerOS in smart devices such as smartphones, networked devices, and autonomous cars. Users now can count on the interface and natural language processing to generate dialogues and enjoy more intuitive and human-computer interactions in 10 general categories of use cases, including entertainment, information inquiry, chat and leisure, O2O (Online to Offline), smart home, travel/transportation, utility tools, phone instructions, personal assistant and education.

This report provides an overview of Baidu's DuerOS conversational AI system and all relevant patents filed to and granted by CNIPA (China National Intellectual Property Administration), the former SIPO (State Intellectual Property Office); addresses the patent trends and strategies of Baidu by examining the company's patent distribution by field and technology.

List of Topics

  • Baidu's development in AI conversational systems and includes the analysis of its patent deployment strategies
  • Baidu conservational AI system patent grants and claims by field and by technology for the period 2013 - April 2018
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Table of Contents


1. Background
2. Patent Deployment
2.1 Patent Mining
2.2 Patent Analysis
2.2.1 Baidu Conservational AI System Patent Grants by Field
2.2.2 Baidu Conversational AI System Patent Grants by Technology
2.2.3 Baidu Conversational AI System Patent Claims by Field
2.2.4 Baidu Conversational AI System Patent Claims by Technology
3. Perspectives4. Appendix5. Glossary of Terms6. List of Companies
List of Tables
Table 1 Baidu Conversational AI System Patent Grants by Field (2013 – April, 2018)
Table 2 Baidu Conversational AI System Patent Grants by Technology (2013 – April 2018)
Table 3 Baidu Conversational AI Patent Claims by Field (2013-April 2018)
Table 4 Baidu Conversational AI Patent Claims by Technology (2013 – April 2018)
List of Figures
Figure 1 Baidu Products Equipped with AI Conversational System

Samples

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Companies Mentioned (Partial List)

A selection of companies mentioned in this report includes, but is not limited to:

  • Alilo
  • Baidu
  • CNIPA
  • Guangdong Genius Technology Co.
  • Intel
  • NVidia
  • Qualcomm
  • SIPO
  • Xiaomi
  • Zhongshan Readboy Electronics Co

Methodology

Primary research with a holistic, cross-domain approach

The exhaustive primary research methods are central to the value that the analyst delivers. A combination of questionnaires and on-site visits to the major manufacturers provides a first view of the latest data and trends. Information is subsequently validated by interviews with the manufacturers' suppliers and customers, covering a holistic industry value chain. This process is backed up by a cross-domain team-based approach, creating an interlaced network across numerous interrelated components and system-level devices to ensure statistical integrity and provide in-depth insight.

Complementing primary research is a running database and secondary research of industry and market information. Dedicated research into the macro-environmental trends shaping the ICT industry also allows the analyst to forecast future development trends and generate foresight perspectives. With more than 20 years of experience and endeavors in research, the methods and methodologies include:

Method

  • Component supplier interviews
  • System supplier interviews
  • User interviews
  • Channel interviews
  • IPO interviews
  • Focus groups
  • Consumer surveys
  • Production databases
  • Financial data
  • Custom databases

Methodology

  • Technology forecasting and assessment
  • Product assessment and selection
  • Product life cycles
  • Added value analysis
  • Market trends
  • Scenario analysis
  • Competitor analysis

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