Company Filing History:

8 out of 1,073

Servicenow, Inc.

Years Active: 2020-2023

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9 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 11758022 - Compression of machine-generated data (2023-09-12),

2. 11693851 - Permutation-based clustering of computer-generated data entries (2023-07-04),

3. 11675647 - Determining root-cause of failures based on machine-generated textual data (2023-06-13),

4. 11442995 - Filtering of log search results based on automated analysis (2022-09-13),

5. 11416325 - Machine-learning and deep-learning techniques for predictive ticketing in information technology systems (2022-08-16),

6. 10963634 - Cross-platform classification of machine-generated textual data (2021-03-30),

7. 10789119 - Determining root-cause of failures based on machine-generated textual data (2020-09-29),

8. 10740692 - Machine-learning and deep-learning techniques for predictive ticketing in information technology systems (2020-08-11),

9. 10600002 - Machine learning techniques for providing enriched root causes based on machine-generated data (2020-03-24),

Title: The Innovative Journey of Gabby Menahem

Introduction

Gabby Menahem, an accomplished inventor based in Petach Tikva, Israel, has made significant contributions to the field of data compression and computational data clustering. With an impressive portfolio of 9 patents, Gabby is at the forefront of technological innovation that addresses the challenges posed by machine-generated data.

Latest Patents

Gabby's most recent inventions showcase his expertise in data handling and optimization. One of his notable patents, titled "Compression of Machine-Generated Data," describes a method where a pre-shared compression dictionary, created from an analytical review of sample data, aids in the efficient compression of batches of machine-generated data. This approach ensures the data can be uncompressed accurately for subsequent processing.

Another significant patent from Gabby is "Permutation-Based Clustering of Computer-Generated Data Entries." In this invention, a computer-generated data entry is segmented into tokens, and various token permutation groupings are created to enhance the identification of data entry clusters. This method highlights Gabby's innovative mindset focused on improving data organization and retrieval.

Career Highlights

Gabby has held key positions in several prominent companies, including ServiceNow, Inc. and Loom Systems Ltd. His roles in these organizations allowed him to apply and refine his innovative ideas in real-world applications, contributing to advancements in the tech industry.

Collaborations

Throughout his career, Gabby has collaborated with talented professionals such as Dror Mann and Yaron Lehmann. These partnerships have fostered a creative environment that encourages the exchange of ideas, further fueling Gabby's ingenuity in his inventions.

Conclusion

Gabby Menahem stands as a testament to the power of innovation within the tech industry. His contributions through multiple patents not only reflect his expertise but also his commitment to solving complex issues surrounding data management. As technology continues to evolve, Gabby’s work will likely play a crucial role in shaping the future of data handling and analytics.

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