This inventor holds 2 USPTO granted patents. Top assignee: Amazon Technologies, Inc.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Shannon Kalisky: Innovator in Automated Contribution Analysis
Introduction
Shannon Kalisky is a prominent inventor based in Dripping Springs, TX (US). She has made significant contributions to the field of automated analysis, particularly in the realm of natural language questioning. Her innovative approach has garnered attention and recognition in the tech industry.
Latest Patents
Shannon holds a patent for "Automated contribution analysis for question answering." This patent describes techniques and architecture that provide automated contribution analysis for 'why question' style natural language queries, such as “why is revenue down in North America Q1 2022.” The techniques combine multiple signals, including the frequency of use of combinations of dimensions in previous natural language queries, statistical information about columns, and correlation between dimensions and dates. This information is utilized with a set of heuristics and rules to identify the best set of dimensions as contributing factors for specific metrics over designated time periods, ultimately presenting automatic contribution analysis to users for deeper insights into their data. She has 1 patent to her name.
Career Highlights
Shannon is currently employed at Amazon Technologies, Inc., where she continues to innovate and develop new solutions. Her work has had a significant impact on how data is analyzed and interpreted, particularly in business contexts.
Collaborations
Shannon has collaborated with notable colleagues, including Wojciech Aleksander Wilk and Rishav Chakravarti. These partnerships have further enhanced her work and contributed to the success of her projects.
Conclusion
Shannon Kalisky is a trailblazer in the field of automated contribution analysis, with her innovative patent paving the way for advancements in natural language processing. Her contributions continue to shape the future of data analysis and interpretation.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
