Daniel G McCreary

Title: The Innovative Contributions of Daniel G McCreary

Introduction

Daniel G McCreary is a notable inventor based in St. Louis Park, MN (US). He has made significant contributions to the field of predictive data analysis, holding 2 patents that showcase his innovative approach to technology.

Latest Patents

One of McCreary's latest patents is titled "Predictive recommendations for schema mapping." This invention provides methods and systems for recommending and defining cross-schema mappings. The process involves identifying canonical data element types and obtaining multi-dimensional representations to determine predicted similarity scores. This allows for the generation of recommendation data objects that indicate mappings between data element types.

Another significant patent is "Cross-entity similarity determinations using machine learning frameworks." This invention addresses the need for faster and more accurate predictive data analysis. It includes methods for identifying predictive entity embeddings and determining predicted cross-entity similarity measures using machine learning models. This innovation enables more efficient prediction-based actions.

Career Highlights

Daniel G McCreary is currently employed at Optum, Inc., where he continues to develop and refine his innovative ideas. His work focuses on enhancing predictive data analysis techniques, which are crucial in various applications across industries.

Collaborations

Throughout his career, McCreary has collaborated with talented individuals such as Parker J Erickson and Mark Gregory Megerian. These collaborations have contributed to the advancement of his projects and the successful implementation of his inventions.

Conclusion

Daniel G McCreary's contributions to predictive data analysis through his patents demonstrate his innovative spirit and commitment to advancing technology. His work at Optum, Inc. and collaborations with other professionals further highlight his impact in the field.