Company Filing History:
Years Active: 2014-2020
Title: Martin Edward Long: Innovator in Workflow Systems and Forecasting Methods
Introduction
Martin Edward Long is a notable inventor based in Alameda, CA, who has made significant contributions to the fields of workflow systems and forecasting methods. With a total of three patents to his name, Long's work focuses on enhancing the efficiency and effectiveness of data processing systems.
Latest Patents
One of Long's latest patents is titled "Branched nodes in a workflow." This invention describes methods, systems, and devices for defining an action node series within a database system. The workflow may include one or more nodes associated with an action, producing outcomes based on events or parameters linked to these nodes. The inclusion of branch nodes allows for logic that selects specific workflow paths based on the occurrence of events or parameter values, thereby influencing the workflow's outcome.
Another significant patent is "Asynchronous rollup numbers forecasting methods and systems." This invention provides improved methods for asynchronously updating forecast rollup numbers. By decoupling source data changes from further manipulations, the system enhances the efficiency of calculating and updating forecast rollup numbers. An event message queue implementation facilitates asynchronous processing, allowing for the efficient handling of event messages and the aggregation of forecast numbers across user role levels.
Career Highlights
Martin Edward Long is currently employed at Salesforce.com, Inc., where he applies his innovative ideas to develop advanced solutions in data management and forecasting. His work at Salesforce has positioned him as a key contributor to the company's technological advancements.
Collaborations
Long has collaborated with notable colleagues, including Chien-Lang Chou and Stephen D Hsu, who share his commitment to innovation and excellence in their respective fields.
Conclusion
Martin Edward Long's contributions to workflow systems and forecasting methods exemplify his dedication to innovation. His patents reflect a deep understanding of complex data processes and a commitment to improving efficiency in technology.