From Raw Data to Strategic Insight: Turning AI into a Competitive Advantage at Merck
Context
Merck, a global German pharmaceutical company, conducts cutting-edge research to develop new treatments for chronic and often incurable diseases. Its scientific teams rely on vast and complex data sets to understand the real-world impact of these treatments on patients and to improve clinical decision-making.
In this context, Thiga supported Merck in structuring its product governance, stabilizing its generative AI solution, and scaling an analytics platform designed to transform patient and caregiver insights into a true strategic asset.
Challenges
- Managing data complexity at scale: unify and validate multiple heterogeneous sources, from physicians and scientific literature to social media, while integrating LLM models with evolving and sometimes unstable behaviors.
- Aligning global teams around a shared vision: balance centralized governance with regional needs to ensure coherence, compliance, and local efficiency.
- Securing and stabilizing the generative AI solution: maintain reliability and performance in a fast-changing technological environment.
- Building a clear and shared product approach: establish a product culture within a still-maturing environment, aligning teams around common goals and priorities.
Our approach
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Expanding the AI analytics product
Developed new use cases through a Qlik dashboard and a Streamlit natural language app, coordinated with the AI platform to deliver a unified experience across products.
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Driving discovery and user-centered prioritization
Conducted user interviews, mapped use cases, and collaboratively defined key features with R&D, Medical, and Market Access teams.
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Industrializing AI-powered workflows
Designed automated analysis pipelines (Q&A, summarization, clustering, NER, sentiment analysis), implemented LLM chains, optimized prompting, and monitored performance through LangFuse.
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Ensuring proactive incident management and transparent communication
Deployed a monitoring and alerting system to anticipate issues and maintain continuous, open communication with users.
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Defining a long-term vision and migration toward Agentic AI
Contributed to Merck’s strategic roadmap for adopting an Agentic AI platform, ensuring alignment with internal standards and R&D initiatives.
Our impact
- Accelerated time-to-insight: report generation accelerated by 4–5x and autonomous access to personalized analyses through natural language queries.
- Enhanced clinical and strategic decision quality: faster validation or invalidation of hypotheses through quantitative data and improved integration of patient criteria aligned with regulatory expectations.
- Strengthened reliability and product maturity: significant reduction in debugging time, improved communication with users, and the emergence of a strong product culture around AI.
Thiga
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