Databricks Data + AI Platform
13 use cases using this technology
Independer cuts feature delivery 50% with Lakebase
Independer
Independer, the largest independent comparison platform in the Netherlands, used Databricks Lakebase to eliminate the export bottleneck between its Customer 360 data platform (built on Databricks and Unity Catalog) and the production APIs serving its website, customer service tools, and internal analytics. Because customer data had been fragmented across legacy on-premises systems, engineers previously had to write export scripts and load a separate SQL Server instance before building new features. By synchronizing gold tables directly with consuming services via Lakebase (built on PostgreSQL), Independer cut development work for new Customer 360 features by 50% and is now building GenAI agent proof-of-concepts that store state in Lakebase.
Trackunit Builds IrisX on Databricks, Giving Construction Customers 5x Faster Time-to-Market
Trackunit
Construction telematics company Trackunit unified previously siloed Finance, Engineering and RevOps data (6 million connected machines, 3 billion data points processed daily) onto the Databricks Data + AI Platform, then exposed that capability to customers through its IrisX platform. OEMs, rental and construction companies building on IrisX see 5x faster time-to-market than building their own data architecture, and Trackunit is extending the platform toward predictive maintenance using Databricks Genie and Agent Bricks.
Plenitude builds machine learning models on Databricks to forecast energy demand and renewable production
Plenitude
Eni-owned energy company Plenitude, which serves 10 million households and businesses across Europe, uses statistical models and machine learning on the Databricks Data + AI Platform to forecast customer energy consumption at hourly and daily granularity, forecast wind and solar generation from its renewable asset portfolio, and run customer segmentation and propensity models across 60 implemented use cases.
Axpo boosts operational efficiency across the energy value chain
Axpo Group
Axpo Group, a major player in the Swiss energy sector, built a GenAI knowledge platform on the Databricks Data + AI Platform to give employees secure, permission-aware search across internal data sources including technical standards, specifications and best practices. The architecture uses a medallion pattern (Bronze/Silver/Gold layers), Lakeflow Jobs for orchestration, RAG-based AI Search, GPT-4o for conversational responses, and Mistral OCR for scanned documents. The tool achieved a 90% approval rating and delivered 30% time savings for power users, with a 3x increase in user adoption as it expanded beyond engineering.
Frontier Communications increases new logo sales 20% and cuts fiber pricing calculations from weeks to seconds with Databricks
Frontier Communications
Frontier Communications modernized its data foundation on the Databricks Data + AI Platform, unifying data in a secure lakehouse. Frontier's B2B sales team now uses AI-powered lead prioritization, driving a 20% increase in new logo sales; the wholesale business uses GenAI to analyze over 40,000 contracts for revenue opportunities; and fiber installation pricing calculations were reduced from weeks to seconds.
Natura unifies data governance across 200+ AI initiatives with Databricks Unity Catalog
Natura
Brazilian beauty company Natura standardized on Databricks and Unity Catalog after previously running siloed data warehouses (Redshift, SAS, BigQuery) across countries and departments. Natura now supports more than 200 initiatives on Databricks, governs 178 data products across 19 onboarded domains, and uses AI/BI Genie for natural-language data queries. CRM initiatives built on the governed data now generate 8% of Natura's revenue.
Furniture.com Transforms Online Search with Databricks
Furniture.com
Furniture.com unifies over 60 retail partners and 1.5 million SKUs on the Databricks Data + AI Platform, using Delta Lake, MLflow and Unity Catalog to run its ML lifecycle. Its Find It AI product-discovery tool uses generative AI to create a synthetic image representing shopper intent, then matches it against the product catalog for image-based search. A Collections model uses LLMs to automatically group related products, finding more than 16,000 collections across 50+ partners with no human intervention. Users who interact with Find It AI show a click-through rate 8x higher than baseline and a return rate 3.2x higher than baseline.
Empowering Marketing Teams to Drive Greater Impact at Reckitt
Reckitt
Reckitt built an AI system called the Insight Engine on the Databricks Data + AI Platform, unifying consumer research, product reviews and social listening signals to give marketing teams faster, actionable insights. The system uses Databricks Model Serving to deploy multiple LLMs including OpenAI's ChatGPT-4 and Google's Gemini, AI Search for retrieval-augmented generation, and Agent Bricks AI Gateway for governance. Reckitt's marketing teams achieved a 40% improvement in task execution, a 40-60% reduction in time to develop campaign concepts, 60% faster concept development, and 30% faster ad adaptation and localization, with hundreds of marketers using the AI tools across the organization by the end of 2025.
AT&T reduces fraud by up to 80% with the Databricks Data + AI Platform
AT&T
AT&T migrated from a legacy on-premises, rules-based fraud detection system to the Databricks Data + AI Platform, moving to a unified lakehouse architecture. AT&T now runs over 100 ML models in production that use real-time data, automatic alerts and recommendations to protect its 182 million wireless customers from fraud including robocalls, robotexts, illegal unlocks and identity theft, reducing fraud by up to 80%.
Hafnia modernizes maritime operations with Databricks Lakebase
Hafnia
Maritime tanker operator Hafnia built a 'data supermarket' on the Databricks Data + AI Platform and adopted Lakebase, a managed Postgres database natively integrated into Databricks, to run operational applications alongside analytics. This powers Hafnia's internal DNA Port operating portal and the Marvis AI copilot. Time to deliver production apps dropped from about two months to four or five days (90%+ reduction), and a 10-person data team now supports 10 departments, 200+ vessels and 4,500+ crew.
NTT DOCOMO improves LLM usage analysis efficiency by 90% with Databricks
NTT DOCOMO
NTT DOCOMO built an internal 'LLM value-added platform' (approximately 10,000 monthly active users, 3 million monthly calls) and used the Databricks Data + AI Platform, including Model Serving for Azure OpenAI's GPT-4o and AI/BI Genie, to automate analysis of usage logs. This replaced manual Excel/Jupyter workflows, cutting monthly analysis work from 66 hours to 6 hours, a 90% reduction, while improving data governance via Unity Catalog.
Building the foundation for the 5G revolution: Digital Nasional Berhad
Digital Nasional Berhad
Digital Nasional Berhad (DNB), Malaysia's government-established 5G network operator, used the Databricks Data + AI Platform to build a cost-effective, high-performance data platform to process 5G network data at scale, achieving 82%+ populated-area coverage in two years. Using Delta Lake with a medallion (Bronze/Silver/Gold) architecture, Databricks Workflows for pipeline orchestration, serverless compute, Notebooks for team collaboration, Unity Catalog for governance, and MLflow for ML lifecycle management, DNB achieved 70% cost optimization and a 60-70% increase in data pipeline performance, and has begun building AI-powered chatbots giving network engineers real-time access to performance insights with geospatial visualizations.
DXC Technology cuts platform TCO 30% and builds 11 AI agents using Databricks Data + AI Platform
DXC Technology
DXC Technology, a global IT services company with fragmented systems from years of mergers, used the Databricks Data + AI Platform (Delta Lake, Unity Catalog, MLflow 3.0, and the Genie conversational assistant) to unify data across sales, HR, finance and project management. DXC built 11 AI agents (3 in production, 8 in pilot or development), reduced time-to-insight from months to days, and validated a 30% reduction in platform total cost of ownership.