Gen AI is transforming life sciences, but its success depends on more than just algorithms—it requires structured, high-quality, and contextualized data. Without the right data foundation, AI-driven insights can be incomplete, unreliable, or even misleading.
In this in-depth article, Alfredo Coviello, Director of Product at L7 Informatics, explores the critical role of data models, knowledge graphs, workflow orchestration, and ontology integration in optimizing AI performance. Discover how a unifying platform approach can help organizations break down data silos, enhance AI-driven decision-making, and lay the groundwork for Agentic AI.
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