Company Filing History:
Years Active: 2018-2022
Title: Mor Gelberg: Innovator in Predictive Modeling and Application Flow
Introduction
Mor Gelberg is a notable inventor based in Yehud, Israel. He has made significant contributions to the fields of predictive modeling and application flow through his innovative patents. With a total of 2 patents, Gelberg's work showcases his expertise and creativity in technology.
Latest Patents
One of Gelberg's latest patents is focused on generating recommended inputs. This invention relates to creating sets of recommended inputs that can change the predicted results of a predictive model. The process involves accessing a historical set of inputs and results from a database, approximating a function based on this data, and computing the gradient of the function. The outcome is a set of recommended inputs that yield positive results for the predictive model.
Another significant patent by Gelberg is centered on building signatures of application flows. This invention includes a device with a screen identification engine that identifies screens during a test run, an element identification engine that selectively identifies elements on those screens, and a signature building engine that constructs a signature corresponding to the test run. This signature captures the application flow while excluding irrelevant elements.
Career Highlights
Throughout his career, Mor Gelberg has worked with prominent companies such as Micro Focus LLC and Entit Software LLC. His experience in these organizations has contributed to his development as an inventor and innovator in the tech industry.
Collaborations
Gelberg has collaborated with talented individuals, including Efrat Egozi-Levi and Ohad Assulin. These partnerships have likely enriched his work and led to further advancements in his projects.
Conclusion
Mor Gelberg is a distinguished inventor whose contributions to predictive modeling and application flow are noteworthy. His innovative patents reflect his commitment to advancing technology and improving predictive systems.