There is no value from AI without a Data Strategy. AI hallucinations are a significant risk in delivering ROI across the enterprise. Stardog’s knowledge graph-powered agentic architecture delivers an AI-ready data foundation with a semantic layer that provides facts and grounding needed to eliminate hallucinations. Learn why traditional Retrieval-Augmented Generation and straight Text-to-SQL approaches can be insufficient and how you can broaden AI's access to diverse and dense data and ensure timely, secure, and, most importantly, hallucination-free answers from your own data.
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Navin Sharma
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Navin Sharma is Vice President of Product at Stardog, a leading enterprise knowledge graph technology platform provider. He is a highly regarded data management expert and seasoned product management executive and has helped organizations achieve significant growth with new production innovation and adoption. Among other positions, he has served as VP of product at both Precisely (formerly Syncsort) and Pitney Bowes, Inc.
Bio from: gartner-data-analytics-uk-2025
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