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App Orchid Unveils Revolutionary Conversational Analytics Agent

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App Orchid Launches Conversational Analytics Agent

App Orchid has unveiled its Conversational Analytics Agent for Easy Answers, enhancing user experience by enabling natural language queries for instant insights. According to CTO Ravi Bommakanti, this innovative tool distinguishes itself by consistently delivering high-accuracy, explainable, and actionable responses. Key features include leveraging the App Orchid semantic knowledge graph for accurate interpretations, querying both structured and unstructured data, and presenting findings through dynamic visuals like charts and tables. This agent utilizes machine learning to uncover critical patterns and trends, making data analytics smarter and more trustworthy. It also translates user queries into Semantic SQL, ensuring alignment with enterprise terminology. Enhanced by large language models (LLM), the system continuously enriches its ontology with business concepts and retains context for streamlined interactions. Furthermore, it offers robust analytical insights covering various statistical methods, promoting self-service analytics and facilitating the creation of permanent dashboards for consistent reporting.

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