Introduction of AI in Patent Research and Business Efficiency: A Specialized Book

Methods to reduce the burden of patent research work, ways to utilize information, and explanations of various processing techniques tailored to specific purposes, along with practical implementations!

● How to gain understanding from upper management and the field? Proposals for solutions to various barriers encountered within the company during the introduction and operation of AI, including examples of failures during AI implementation and approaches to internal education. ● Practical considerations and frequently asked questions in patent research using machine learning ⇒ Establishing necessary environments, balancing bias and variance, achieving comprehensiveness in risk detection and efficiency in research, measures against overfitting, methods for evaluating systems, techniques for improving accuracy, etc. ● How can research be conducted using machine learning? Specific utilization methods and practical know-how ⇒ Searching for similar trademark images, grouping documents/patent classification, searching for documents with similar content, collecting/managing patent information, topic analysis, technology trend analysis, AI translation of patent documents ⇒ Know-how that leads to improved research accuracy and operational efficiency is explained throughout! ● How to connect the information obtained from research to intellectual property strategy? Creating and utilizing patent maps for the company to win, advancing R&D, and activities related to intellectual property strategy, etc.

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