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: Innovator Spotlight: Dror Mann and His Breakthrough Patents

Introduction: Dror Mann, an accomplished inventor based in Tel Aviv, Israel, holds an impressive portfolio of nine patents. Known for his innovative approaches to data compression and clustering, Mann's work is making significant strides in the field of data analytics and machine learning.

Latest Patents: Among his latest contributions are two notable patents. The first, titled "Compression of Machine-Generated Data," involves the use of a pre-shared compression dictionary, allowing efficient compression and uncompression processes for batches of machine-generated data. This method streamlines data handling, making it possible to retrieve original data accurately after compression.

The second patent, "Permutation-Based Clustering of Computer-Generated Data Entries," introduces a technique for segmenting computer-generated data into tokens and analyzing them through various permutation groupings. This innovative approach helps in identifying and clustering data entries effectively, enhancing data processing capabilities.

Career Highlights: Dror Mann has worked with prominent companies, including ServiceNow, Inc. and Loom Systems Ltd. His experience in these organizations has enabled him to refine his innovative techniques and apply them in real-world scenarios, contributing to advancements in technology and data science.

Collaborations: Throughout his career, Mann has collaborated with notable colleagues such as Yaron Lehmann and Gabby Menahem. These partnerships have fostered a creative environment, allowing for the exchange of ideas and enhancing the efficacy of their projects.

Conclusion: Dror Mann continues to push the boundaries of innovation with his nine patents, significantly impacting the landscape of machine-generated data compression and clustering. His contributions are not only valuable to the companies he has worked for but also to the broader field of data analytics and artificial intelligence. As technology evolves, Mann's work will likely play a crucial role in shaping the future of how we manage and interpret data.

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