The main challenge was to develop a comprehensive strategy to automate data collection and reporting processes, integrate various data systems, and improve data-driven decision-making capabilities for Servier Ukraine.
Developed a Generative AI-powered interface for IBC and ASCE queries, enabled iterative refinement, integrated design standards, and optimized mobile/desktop usability.
Developed ML for OTT screen classification and TV channel recommendations, and empowered engineers to work with minimal supervision.
Developed audience AI clustering models based on behavior patterns and conversion probability. Created a multiplicative marketing mix model and introduced models for audience clustering.
Improved computer programs for better factory monitoring, combined them with real-time location and sensor data, and built new tools and websites for managing everything.
Integration with R&D workflows; data privacy compliance.
Expert services reduce research time and costs by 15-20%, enhancing drug discovery success rates.
Integration with LIMS, compliance with regulatory standards and GMP.
Machine learning enhances HPLC capabilities, achieving a 20-25% increase in operational efficiency and reducing manual workload.
