Palo Alto, CA, United States of America

Martin Lewis Handwerker


Average Co-Inventor Count = 4.0

ph-index = 2

Forward Citations = 48(Granted Patents)


Company Filing History:


Years Active: 2008-2013

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2 patents (USPTO):Explore Patents

Title: Martin Lewis Handwerker: Innovator in Real-Time Analytics

Introduction

Martin Lewis Handwerker is a notable inventor based in Palo Alto, CA. He has made significant contributions to the field of real-time analytics, holding 2 patents that showcase his innovative approach to data processing.

Latest Patents

One of his latest patents is titled "Method for performing real-time analytics using a business rules engine on real-time heterogeneous materialized data views." This method involves processing rows produced by views corresponding to events. The rows are processed according to business rules by a view engine. Views with conditions equivalent to rule conditions are subscribed to by a rule engine, which outputs action messages corresponding to the rule condition. When the rule condition is satisfied, a statement is sent, along with any available reportlets, to an alert engine. The alert engine manages alert states corresponding to the action statement, saves any relevant reportlets, and generates a message to trigger an alert to a notification engine. The notification engine formats the alert and sends it through a selected medium, such as email or a web service call.

Career Highlights

Martin is currently employed at International Business Machines Corporation, commonly known as IBM. His work at IBM has allowed him to further develop his expertise in real-time analytics and contribute to cutting-edge technologies.

Collaborations

Throughout his career, Martin has collaborated with notable professionals, including Diaz Nesamoney and Vaikom B Krishnan. These collaborations have enriched his work and expanded the impact of his innovations.

Conclusion

Martin Lewis Handwerker is a distinguished inventor whose work in real-time analytics continues to influence the industry. His patents reflect a commitment to advancing technology and improving data processing methods.

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