Resources
Explore our comprehensive collection of case studies, reports, research papers, open source projects, and more.
Johnson & Johnson Achieves 96.8% Accuracy in Customer Targeting
Advanced AI-based predictive customer modeling solution utilizing machine learning algorithms and SHAP explainability frameworks for marketing optimization
Predictive AnalyticsHow Johnson and Johnson Found Patterns Hidden in Ablation Data?
Custom analytical framework for AVNRT ablation procedures with automated data normalization, statistical analysis, and 3D visualization
Healthcare AnalyticsHow Johnson & Johnson Turned Endless Data Work into Instant Strategy?
Cartonet Analysis Dashboard for automated data processing with real-time, actionable insights for marketing teams
Marketing AnalyticsHow Johnson & Johnson Turned a Mountain of Event Data into a Clear Story of ROI?
Power BI solution for quantifying event impact on medical procedure volumes with dynamic analytics platform
Event AnalyticsHow Johnson & Johnson reduced patient data analytics time by 80%?
Patient Report Analyzer automating data parsing, cleaning, and visualization for diverse patient datasets with varying Excel structures
Healthcare AnalyticsShelf Analysis AI platform for Retail Compliance
Advanced Computer Vision platform delivering 90%+ product detection accuracy while decreasing manual audit time by 80% across 500+ retail locations.
Computer VisionA Global Beverage Leader Prevents Retail Fraud with AI
AI-powered fraud detection system achieving 90%+ accuracy in eliminating false field reports and ensuring planogram compliance across thousands of retail locations.
Computer VisionFlexible Campaigns with Poster Recognition AI
Advanced poster recognition technology achieving 94%+ accuracy while eliminating retraining cycles and cutting deployment costs by 85% across 500+ retail campaigns.
Computer VisionAutomated Training Pipeline Reduces Model Development Time
Automated Training Pipeline built on Google Cloud Vertex AI reduced model development time by 75%, empowered non-technical teams, and enabled enterprise-scale deployment.
MLOps