1
1
Brazil
2 years of experience
Professional and aspiring student specializing in Data, A.I & M.L, with a focus on innovation and analytics. My passion is transforming data into valuable insights and exploring new technologies. My main objective is to transform complex data into valuable insights following the best market practices. Furthermore, I am committed to contributing significantly to the advancement of society through the ethical and innovative application of A.I. and M.L., believing in the potential of these technologies to solve complex challenges and promote positive impacts in diverse areas. I am constantly exploring new techniques and tools to expand my skills and collaborate with the next generation of professionals shaping the future of artificial intelligence and machine learning.
KNAI transforms data analysis by addressing a critical challenge: making complex data accessible and actionable for all team members, regardless of technical expertise. Our platform leverages advanced natural language processing to create a seamless bridge between business users and their structured data repositories. Our solution is built on a sophisticated architecture powered by WatsonX and the Granite-3.1-8b-instruct model. This foundation enables KNAI to automatically understand database schemas, transforming natural language questions into precise, optimized SQL queries. The system implements intelligent filtering and maintains contextual awareness, ensuring each interaction builds upon previous queries for more meaningful insights. KNAI stands out through its comprehensive approach to data democratization. Beyond translating questions into queries, it incorporates advanced features like automatic query validation, prompt engineering optimization, and persistent conversation history. This ensures accurate results while maintaining complete transparency of the query generation process. Organizations implementing KNAI have seen substantial improvements in their data analysis capabilities, with projected metrics showing a 75% reduction in analysis time, 90% decrease in query errors, and 60% increase in decision-making speed. This efficiency translates to improved business outcomes and a projected 3x ROI in the first year. For technical teams, KNAI offers robust integration through its API, hosted on IBM Code Engine, with PostgreSQL for structured storage and Redis for conversation management. For business users, it provides an intuitive interface that makes complex data analysis as simple as having a conversation. By eliminating traditional barriers between business users and their data, KNAI enables organizations to make more informed decisions faster, unlock hidden insights, and drive innovation across all levels.
23 Feb 2025