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Iman Bhattachary, QIAGEN | Neo4J GraphSummit NYC 2026

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In this interview from GraphSummit 2026, Iman Bhattacharya, senior global product marketing manager at Qiagen N.V., joins theCUBE's John Furrier to discuss how nearly three decades of human-curated biomedical knowledge is becoming the foundation for trustworthy agentic AI in drug discovery. Bhattacharya explains that Qiagen Digital Insights' Ingenuity Knowledge Graph, built by more than 150 MD-PhD level experts, grounds AI models in traceable, provenance-rich context rather than synthetic outputs. He details the company's new Qiagen Discovery Platform, a three-tier system layering a knowledge foundation, Model Context Protocol access and an agentic Discovery Explorer. Bhattacharya underscores that reasoning without trust is meaningless, and that connecting enterprise context to grounded data is what separates real production AI from stalled pilots. Additionally, Bhattacharya shares how Qiagen avoids creating new data silos by treating its knowledge layer as part of a broader ecosystem rather than a walled garden. He touches on how traceability and human curation combat hallucination risk, giving pharma and biotech customers confidence in accuracy and provenance. Bhattacharya also reflects on how cross-functional teamwork, spanning engineering, security, product and marketing, has become essential as AI projects compress timelines from months to days. He teases upcoming MCP and agentic access announcements for the Discovery Explorer and the legacy Ingenuity Pathway Analysis tool. From decades of manual curation to real-time agentic access, Bhattacharya makes clear that trustworthy AI in drug discovery starts with a deeply grounded knowledge foundation. Find more SiliconANGLE news and analysis https://siliconangle.com/ Follow theCUBE's wall-to-wall event coverage https://siliconangle.com/events/ Learn about the latest theCUBE events https://www.thecube.net/ 00:00 - Title: "Foundations of QIAGEN: Data Innovation and Governance 02:31 - Integrating AI: Insights from History to Innovation 04:46 - Exploring Data Structures and Platforms in AI 07:07 - Enhancing AI: Scalability, Knowledge, and Transparency 10:49 - Optimizing Team Collaboration Through Knowledge Integration 13:17 - Strategic Insights: Customer Engagement and Future Directions #theCUBE #Neo4jGraphSummit #theCUBEresearch #Qiagen #KnowledgeGraph #AgenticAI #DrugDiscovery

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