Case Studies

Driving growth, optimizing costs, managing risk, and unlocking insights, for real results.

Enterprise GenAI platform for rapid product concept generation and validation

Rapid Product Testing at Scale

Deployed Across The Globe

Engineer validating AI-generated code and documentation after identifying hallucinated technical explanations during code review.

AI Hallucinations

Stop False AI Reasoning in Production

Incident management dashboard with AI assistant helping engineering teams coordinate response and restore critical services.

AI for Major Incidents

Cut Response Time And Protect SLAs

Retail Leveraging LLMs for Market Research.

Market Research LLM

Get Days of Research In Minutes

Factored Semantic Layer architecture for governed enterprise metrics

Governed Metrics for AI

Single logic across every interface

Automated compliance reporting

Compliance Reporting

Reporting automated

Audience segmentation model

Audience Segmentation

Targeting efficiency improved

Clinical data ingestion pipelines

Clinical Data Pipelines

Research access improved

Fraud detection ML pipeline

Fraud Detection Models

Detection precision improved

Financial transaction data pipeline

Transaction Data Pipelines

Faster risk analytics access

Incremental data extraction workflow

Incremental Data Extraction

Reliability issues resolved

Fleet maintenance analytics platform

Fleet Maintenance Analytics

Millions in savings identified

Centralized fintech analytics dashboards

Digital Wallet Analytics

22% MAU increase

Server-side analytics ingestion

Server-Side Analytics

Metric accuracy restored

Salesforce data pipelines

Salesforce Data Migration

Unified platform enabled

LLM framework integrations

LLM Hardware Integrations

50K+ monthly downloads

Grocery recommendation system

Real-Time Grocery Rec

Real-time personalization enabled

Computer vision for fiber planning

Fiber Deployment Vision

Planning time reduced

Federated learning healthcare model

Federated Cancer Prediction

Privacy-preserving ML deployed

Retail inventory anomaly detection

Inventory Accuracy ML

$80M recovered sales

Automated analytics reports

Automated Analytics Reporting

Pre-sales efficiency improved

Customer analytics dashboards

Customer Behavior Analytics

Lifecycle visibility enabled

Product sales prediction dashboard

Product Impact Prediction

40% faster evaluations

Personalized news recommendation model

News Recommendation System

~30% gain in discovery metrics

Retail promotion recommendation model

Promotional Recommendations

CTR and CVR accuracy improved

Databricks lakehouse architecture

Unified Data Platform

AI-first scalability enabled

Databricks feature store architecture

Centralized Feature Store

Deployment cycle cut to 20 days

Databricks matchmaking data pipeline

AI Matchmaking Pipeline

Scalable pairing enabled

Interactive LLM performance demo

Interactive LLM Demos

Customer engagement increased

Ecommerce analytics data pipeline

Unified Ecommerce Analytics

Cross-system visibility delivered

Healthcare anomaly detection pipeline

Real-Time Anomaly Detection

Near real-time detection achieved

Real-time ecommerce personalization system

Adaptive Ecommerce Personalization

Engagement and conversion lift

Reinforcement learning energy control system

Adaptive Energy Optimization

32% reduction in energy use

Distributed demand forecasting pipeline

Resilient Demand Forecasting

Higher forecast accuracy at scale

NLP-driven scientific document review

Automated Research Review

15% reduction in manual review

Manufacturing factory quality control enhanced with predictive machine learning models

ML Quality Control

Cuts defects by up to 75%

Retail Gen AI Personalized Recommendation

Generative AI Recommenders

Boosts conversion rates at scale

Databricks Based Gen AI Personalized Recommendation

Databricks - GenAI Recommender

Boosts conversion rates at scale

Databricks Based Leveraging LLMs for Market Research

Databricks - Market Research LLM

Insights in minutes, not days

Manufacturing predictive analytics preventing machine downtime in plants

Predictive Analytics for Downtime

Reduces downtime 20–50%

Finance Customer Support Using Multimodal AI Infrastructure

AI Support for Digital Banking

Automates 60–80% of inquiries

Cloud Migration and Databricks Cost Optimization

Databricks Cost Optimization

Lowers compute costs by 25–40%

Retail Probabilistic Perpetual Inventory Alert Program

AI Inventory Optimization

Cuts stockouts by up to 30%

Data mesh strategy using dbt to align metrics, improve trust, and accelerate decision-making

DBT Data Mesh Strategy

Unified metrics for faster decisions

AWS AutoML platform with semi-supervised learning and synthetic data to improve computer vision models

AWS AutoML for Vision

20% higher accuracy than Vertex AI

Predictive model forecasting sales rep performance to optimize hiring and boost revenue

Revenue Forecasting Models

Sales +16% by filtering low performers

Machine learning serving platform scaling RTB models with multi-framework support and real-time monitoring

RTB Model Serving Platform

20× throughput, 1M req/s, 10ms latency

Centralized machine learning platform improving data quality, cost efficiency, and CI/CD for real-time bidding

Centralized RTB ML Platform

Cuts Snowflake costs 30% with QA

Kafka-based data streaming platform enabling real-time bidding and analytics at massive scale

Real-Time Ad Data Streaming

10× capacity, 1M req/s, <10ms latency

AI-powered demand forecasting system optimizing vehicle inventory and boosting sales

Vehicle Demand Forecasting

15% more sales, 22% less overstock

AI-driven dynamic pricing engine optimizing e-commerce revenue and conversions

AI Price Optimization

CVR +15% and higher revenue per sale

Interactive BI dashboard unifying streaming data to accelerate executive decision-making

Unified Data Visualization

Reports in minutes with clear visibility

Marketing dashboard with automated user behavior analytics driving higher conversions

Marketing User Analytics

Self-serve insights that lift conversions

Financial Services ML Supervised Learning Loan to Risk Groups.

Loan Risk ML Models

Improves default accuracy 20–35%

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