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Global approach to NLP has dismantled language barriers says Kashyap

Wednesday, 26 February 2025 | PNS | DEHRADUN

Database management and NLP is a growing field that challenges the companies’ interface with data systems. The developers in this area are designing tools that make it easy to implement data access solutions in a manner that is simple to understand for consumers while still maintaining the complexity of interacting with a database.

 Gaurav Kashyap, an experienced practitioner in NLP-driven database interfaces, has been at the forefront of transforming data accessibility for non-technical users across diverse industries. His work is rooted in creating intuitive tools that allow users to query relational databases using natural language. “These innovations have had a profound impact on industries such as finance, retail, and travel, where rapid data retrieval and analysis are essential”, he said. His development of an advanced natural language query interface is a testament to his ability to enhance user engagement with complex systems.

By enabling users to pose questions in everyday language, he has significantly reduced reliance on IT teams for data extraction, resulting in faster decision-making processes. The implementation of this interface led to a remarkable 30 per cent increase in user adoption, demonstrating its utility in democratising access to critical data. In addition to enhancing accessibility, he developed a query-parsing engine capable of interpreting intricate natural language inputs and converting them into optimized SQL queries. This engine not only improved query accuracy but also shortened response times, thus delivering a 40% improvement in data retrieval speed for customer support teams. “My work extends beyond English, incorporating multilingual capabilities that allow users from various linguistic backgrounds to interact with databases in their native languages”, he claims.

This global approach to NLP has effectively dismantled language barriers, increasing data accessibility by 40 per cent and fostering inclusivity in data-driven environments.

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