San Mateo, CA, United States of America

Michael Strezo

USPTO Granted Patents = 2 

Average Co-Inventor Count = 8.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2016-2018

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2 patents (USPTO):Explore Patents

Title: Michael Strezo: Innovator in Natural Language Metric Condition Alerts

Introduction

Michael Strezo is an accomplished inventor based in San Mateo, CA (US). He holds 2 patents that focus on enhancing the way enterprise data is monitored and communicated. His innovative approach to natural language processing in alert systems has the potential to transform how organizations respond to metric conditions.

Latest Patents

Strezo's latest patents include "Natural language metric condition alerts" and "Natural language metric condition alerts generation." Both patents describe a system where enterprise data sources can be monitored to detect metric conditions through predefined rules. Alerts generated from these conditions are presented as natural language descriptions, making them more accessible to users. From these alerts, readers can navigate to a story page that provides additional details, including drill-down synopses, strategies for addressing negative conditions, and options for collaboration within the organization.

Career Highlights

Michael Strezo is currently employed at SuccessFactors, Inc., where he applies his expertise in data monitoring and alert systems. His work has significantly contributed to the development of tools that enhance decision-making processes in organizations.

Collaborations

Strezo collaborates with talented individuals such as Dominic Philip Haine and Michel Angelo Capraro, who contribute to the innovative environment at SuccessFactors, Inc.

Conclusion

Michael Strezo's contributions to the field of natural language processing in enterprise data monitoring are noteworthy. His patents reflect a commitment to improving how organizations manage and respond to metric conditions. His work continues to influence the landscape of data-driven decision-making.

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