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 AI-powered audience clustering models based on behavior patterns and conversion probability. Additionally, created a multiplicative marketing mix model.
Improved factory software for better safety monitoring, integrated real-time location and sensor data, and built original tools and interfaces for efficient risk management.
Integration with R&D workflows and 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.
