Ramesh Kumar Saxena

AI Agents for Data Platforms: Discover, Model, Analyze Building AI-ready data platforms involves transforming traditional data systems into intelligent, self-service ecosystems powered by automation and AI. The foundation lies in creating an automated data catalog that continuously ingests, organizes, and enriches metadata, enabling better data discovery, governance, and contextual understanding through platforms Complementing this, AI-driven data modeling agents automate the identification of fact and dimension tables, generate optimized analytical schemas, and improve performance through intelligent recommendations. Together, these components create a unified, feedback-driven architecture that accelerates analytics, reduces manual effort, and enables scalable, AI-powered decision-making across the organization. On top of this, self-service analytics using Text-to-SQL empowers business users to interact with data using natural language, leveraging advanced LLMs such as Qwen, Gemini, and OpenAI GPT models to generate accurate, context-aware queries.