This inventor holds 3 USPTO granted patents. Top assignee: Tata Consultancy Services Limited. Active years: 2022-2025.
Company Filing History:
Years Active: 2022-2025
Title: Sanjeev Manchanda: Innovator in Explainable AI
Introduction
Sanjeev Manchanda is a prominent inventor based in Mumbai, India. He has made significant contributions to the field of artificial intelligence, particularly in the area of explainable AI. With a total of 3 patents to his name, he is recognized for his innovative approaches to enhancing machine learning systems.
Latest Patents
One of Sanjeev's latest patents is titled "Systems and methods for determining explainability of machine predicted decisions." This invention addresses the limitations of typical explainable AI (XAI) solutions, which often struggle with various types of data. His system automates the process of determining explainability, providing an end-to-end solution that outputs absolute and relative relevance scores for features associated with machine predictions. This innovation significantly improves the efficiency and effectiveness of explainable AI systems.
Another notable patent is "Method and system for extracting contextual information from a knowledge base." This invention focuses on analyzing user queries to extract relevant contextual information from various data sources. By employing a fine-grain approach, the system enhances the accuracy of information retrieval, ensuring that users receive the most pertinent data based on their queries.
Career Highlights
Sanjeev Manchanda is currently employed at Tata Consultancy Services Limited, where he continues to develop cutting-edge technologies. His work at TCS has allowed him to collaborate with other talented professionals in the field, further advancing the capabilities of AI systems.
Collaborations
Some of his notable coworkers include Mahesh M Kshirsagar and Ajeet Phansalkar. Their collective expertise contributes to the innovative environment at Tata Consultancy Services Limited.
Conclusion
Sanjeev Manchanda's contributions to the field of explainable AI demonstrate his commitment to advancing technology and improving machine learning systems. His innovative patents reflect a deep understanding of the challenges in AI and a dedication to finding effective solutions.