Databricks Unity Catalog
Capa de gobernanza unificada para gestionar el acceso, el linaje y la calidad de datos y activos de IA en un lakehouse.
Casos de uso24
Empresas24
Industrias11
Casos de IA con Databricks Unity Catalog
1
How Novo Nordisk Built a Clinical AI Platform in 9 Months with Databricks
Novo Nordisk · Research & Development
$157M+
Net new value from optimized clinical trials (5-year projection)
$157M+Net new value from optimized clinical trials (5-year projection)
2
How Adidas Analyzes 2 Million Reviews 40% Faster with Databricks GenAI
Adidas · Marketing
30–40%
Improvement in analyst efficiency in review-based decision-making
30–40%Improvement in analyst efficiency in review-based decision-making
3
How Mondelez Scales 3,000 Production AI Models Across Sales and Supply Chain with Databricks
Mondelez International · Operations
20,000
Models managed in batch and real time using MLflow
20,000Models managed in batch and real time using MLflow
4
How Furniture.com Used Databricks Mosaic AI to Deploy 8 Production AI Models and Double Conversion Rates
Furniture.com · Marketing
95%
Shopper engagement with AI review summaries
95%Shopper engagement with AI review summaries
5
How GoGuardian Uses Databricks to Cut ML Costs 90% While Protecting K–12 Students
GoGuardian · Operations
90%
Operational cost savings with Delphi model
90%Operational cost savings with Delphi model
6
How Webmotors Uses Databricks AI/BI Genie to Cut Analyst Tickets by 72%
Webmotors · Business Intelligence
72%
YoY reduction in manual data tickets
72%YoY reduction in manual data tickets
7
How Grupo Casas Bahia Automated Customer Feedback Analysis 14x Faster with Databricks
Grupo Casas Bahia · Customer Service
14x
Productivity gain in comment analysis
14xProductivity gain in comment analysis
8
How HP Built a GenAI Data Chatbot in 3 Weeks Using Databricks Mosaic AI to Recover 20-30% of Data Team Time
HP · Business Intelligence
20-30%
Cost savings vs AWS Redshift
20-30%Cost savings vs AWS Redshift
9
How Experian Automates 35% of Customer Emails with Databricks Mosaic AI
Experian · Customer Service
35%
Customer emails automated
35%Customer emails automated
10
How Scribd Cut GenAI Costs 90% and Boosted Sign-Ups with Databricks
Scribd · Product Development
90%
Reduction in GenAI operating costs
90%Reduction in GenAI operating costs
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Databricks
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Modelos usados con
Llama-4-Maverick-17B-128E-Instruct
Llama 4 Maverick is Meta's 401B multimodal model with 128 experts for text and image understanding across 12 languages.
GPT-4
OpenAI's GPT-4 large language model for general-purpose text generation and reasoning.
Claude Sonnet 4.5
Anthropic's multimodal model with a 1M-token context for coding, analysis, and document tasks.
Usado frecuentemente con
Databricks Agent Bricks
Framework for building, evaluating, and deploying domain-specific AI agents on a lakehouse platform.
Databricks AI/BI Genie
Natural language querying interface that lets non-technical users ask questions in plain English and get instant analytics from data lakehouses.
Databricks SQL
Serverless SQL analytics engine built on the Databricks Lakehouse, delivering high-performance queries with elastic scaling and open data formats.
MLflow
Open-source ML lifecycle platform for experiment tracking, model registry, and deployment across training frameworks.
Databricks Vector Search
Managed vector search service integrated with Databricks Unity Catalog for storing and querying high-dimensional embeddings at scale.
Databricks Data Intelligence Platform
Unified lakehouse platform for data engineering, analytics, and AI
Databricks Delta Lake
Open-source storage layer that brings ACID transactions, scalable metadata handling, and unified streaming and batch data processing to data lakes.
Delta Lake
Open-source storage layer that brings ACID transactions and scalable metadata handling to data lakes.
Empresas
Empresas que usan esta herramienta en casos documentados.
Vendor
Databricks
databricks.comEmpresas
Empresas que usan esta herramienta en casos documentados.
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Regístrate para leer casos de estudio completos, acceder a métricas detalladas y recibir todos los reportes.