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Personalized Pharma Campaigns Powered by ML
Challenge Pharmaceutical companies possess vast amounts of data, yet often there are challenges to leverage it effectively in their advertising campaigns for drugs. Campaign decisions by advertising companies are primarily made based on prior experiences and intuition rather than data-driven insights. The challenge lies in harnessing data about doctors’ historical engagement, demographics, and affinity to […]
Reducing carbon footprint and energy costs
Achieving a 15% decrease in carbon footprint and energy consumption costs by creating an optimization algorithm for charging electric vehicles.
Automated FDA Label Compliance Using Machine Learning
Manually analyzing product labels against CFR 21 (Code of Federal Regulations Title 21), which governs food and drug products, presents a substantial obstacle for many businesses.