Jerusalem, Israel

Dmitry Shusterman


Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2017-2020

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2 patents (USPTO):Explore Patents

Title: Dmitry Shusterman: Innovator in Streaming Analytics

Introduction

Dmitry Shusterman, an accomplished inventor based in Jerusalem, Israel, has made significant strides in the field of streaming analytics. With two patents to his name, his work is pioneering techniques that leverage advanced computational methods to enhance data processing capabilities.

Latest Patents

Dmitry's latest patent focuses on "Generating Streaming Analytics Applications Using a Glossary." This innovative method involves receiving subject matter requirements in a semi-structured format and classifying these requirements based on a predefined taxonomy. It also includes extracting a list of entities from the requirements, generating a solution based on a glossary, and subsequently creating a streaming analytics application derived from this solution. This patent illustrates how Dmitry's expertise integrates grammar-based extraction and glossary usage to streamline the analytics application development process.

Career Highlights

Dmitry is currently employed at the esteemed International Business Machines Corporation (IBM), where he applies his inventive skills in developing next-generation analytics solutions. His professional journey reflects a commitment to pushing the boundaries of technology and improving data analysis techniques.

Collaborations

Throughout his career, Dmitry has had the opportunity to collaborate with notable individuals such as Evgeny Chernis and Leonid Gorelik. These partnerships have enriched his work, fostering a creative environment where innovative ideas can flourish and be transformed into impactful solutions.

Conclusion

As an inventor, Dmitry Shusterman exemplifies the spirit of innovation in technology. Through his patents and collaborations at IBM, he continues to contribute significantly to the field of streaming analytics, shaping how organizations harness and understand data in real-time.

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