This inventor holds 1 USPTO granted patent. Top assignee: Fair Isaac Corporation. Active years: 2019.
Company Filing History:
Years Active: 2019
Title: Christopher Lee Bedford: Innovator in Stream Processing Technology
Introduction
Christopher Lee Bedford is a notable inventor based in Mountain View, CA. He has made significant contributions to the field of distributed stream processing systems. His innovative work has led to the development of a patent that enhances the efficiency of data processing in real-time applications.
Latest Patents
Christopher holds a patent titled "Stream schema resolution and stream tuple processing in a distributed stream-processing system." This patent describes a task worker that operates on a worker server and receives a process specification over a network. The process specification outlines a task to be executed by the task worker, which includes generating an output data object for an output data stream based on an input data object from an input data stream. The task worker accesses the process specification to determine the required fields to be read for executing the task and specifies the fields in the input data object that will be written to during or after the task execution. The task worker successfully executes the task and generates the output data object, which is then transmitted to the output stream according to the stream configuration. Christopher has 1 patent to his name.
Career Highlights
Christopher is currently employed at Fair Isaac Corporation, a company known for its innovative solutions in analytics and decision management. His work at Fair Isaac Corporation has allowed him to apply his expertise in stream processing and contribute to the company's advancements in technology.
Collaborations
Some of Christopher's coworkers include George Vanecek, Jr. and Shalini Raghavan. Their collaboration in various projects has further enhanced the innovative environment at Fair Isaac Corporation.
Conclusion
Christopher Lee Bedford is a distinguished inventor whose work in stream processing technology has made a significant impact in the field. His contributions continue to influence advancements in real-time data processing systems.