David Martinez Iraola

Title: Innovations of David Martinez Iraola

Introduction

David Martinez Iraola is a notable inventor based in Sunnyvale, CA. He has made significant contributions to the field of predictive analytics and cognitive systems. With a total of 5 patents, his work focuses on the intersection of technology and data processing.

Latest Patents

One of his latest patents is titled "Combining semantic relationship information with entities and non-entities for predictive analytics in a cognitive system." This invention provides methods and systems for implementing a predictive analytics system that utilizes both entity and non-entity information. The process involves extracting defined entities from a collection of content and determining semantic relationships between objects, which include undefined entities. The resulting data set is then analyzed to identify relationships between defined and undefined entities.

Another significant patent is "Extraction and normalization of mutant genes from unstructured text for cognitive search and analytics." This invention outlines a method for automatically extracting and normalizing mutant gene entities from unstructured text. It includes identifying specific entities, creating mutant gene entities, and establishing semantic relationships between these entities. The data is then stored in a database for further analysis.

Career Highlights

David Martinez Iraola is currently employed at International Business Machines Corporation, commonly known as IBM. His work at IBM has allowed him to explore innovative solutions in cognitive data processing and analytics.

Collaborations

Throughout his career, David has collaborated with notable colleagues, including Richard L Martin and Sheng Hua Bao. These collaborations have contributed to the advancement of his research and inventions.

Conclusion

David Martinez Iraola's contributions to the field of predictive analytics and cognitive systems are noteworthy. His innovative patents reflect his expertise and commitment to advancing technology. His work continues to influence the landscape of data processing and analytics.