Case Studies | AI, ML & Data in Action
Case Studies
Driving growth, optimizing costs, managing risk, and unlocking insights, for real results.
Governed Metrics for AI
Single logic across every interface
Compliance Reporting
Reporting automated
Audience Segmentation
Targeting efficiency improved
Clinical Data Pipelines
Research access improved
Fraud Detection Models
Detection precision improved
Transaction Data Pipelines
Faster risk analytics access
Incremental Data Extraction
Reliability issues resolved
Fleet Maintenance Analytics
Millions in savings identified
Digital Wallet Analytics
22% MAU increase
Server-Side Analytics
Metric accuracy restored
Salesforce Data Migration
Unified platform enabled
LLM Hardware Integrations
50K+ monthly downloads
Real-Time Grocery Rec
Real-time personalization enabled
Fiber Deployment Vision
Planning time reduced
Federated Cancer Prediction
Privacy-preserving ML deployed
Inventory Accuracy ML
$80M recovered sales
Automated Analytics Reporting
Pre-sales efficiency improved
Customer Behavior Analytics
Lifecycle visibility enabled
Product Impact Prediction
40% faster evaluations
News Recommendation System
~30% gain in discovery metrics
Promotional Recommendations
CTR and CVR accuracy improved
Unified Data Platform
AI-first scalability enabled
Centralized Feature Store
Deployment cycle cut to 20 days
AI Matchmaking Pipeline
Scalable pairing enabled
Interactive LLM Demos
Customer engagement increased
Unified Ecommerce Analytics
Cross-system visibility delivered
Real-Time Anomaly Detection
Near real-time detection achieved
Adaptive Ecommerce Personalization
Engagement and conversion lift
Adaptive Energy Optimization
32% reduction in energy use
Resilient Demand Forecasting
Higher forecast accuracy at scale
Automated Research Review
15% reduction in manual review
ML Quality Control
Cuts defects by up to 75%
Market Research LLM
Insights in minutes, not days
Generative AI Recommenders
Boosts conversion rates at scale
Databricks - GenAI Recommender
Boosts conversion rates at scale
Databricks - Market Research LLM
Insights in minutes, not days
Predictive Analytics for Downtime
Reduces downtime 20–50%
AI Support for Digital Banking
Automates 60–80% of inquiries
Databricks Cost Optimization
Lowers compute costs by 25–40%
AI Inventory Optimization
Cuts stockouts by up to 30%
DBT Data Mesh Strategy
Unified metrics for faster decisions
AWS AutoML for Vision
20% higher accuracy than Vertex AI
Revenue Forecasting Models
Sales +16% by filtering low performers
RTB Model Serving Platform
20× throughput, 1M req/s, 10ms latency
Centralized RTB ML Platform
Cuts Snowflake costs 30% with QA
Real-Time Ad Data Streaming
10× capacity, 1M req/s, <10ms latency
Vehicle Demand Forecasting
15% more sales, 22% less overstock
AI Price Optimization
CVR +15% and higher revenue per sale
Unified Data Visualization
Reports in minutes with clear visibility
Marketing User Analytics
Self-serve insights that lift conversions
Loan Risk ML Models
Improves default accuracy 20–35%