Databricks Agent Bricks
Framework de IA agéntica para construir y desplegar agentes autónomos de datos y análisis sobre una plataforma lakehouse.
Casos de uso13
Empresas13
Industrias8
Casos de IA con Databricks Agent Bricks
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 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
3
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
4
How Experian Automates 35% of Customer Emails with Databricks Mosaic AI
Experian · Customer Service
35%
Customer emails automated
35%Customer emails automated
5
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
6
How Franklin Templeton Scales Investment Analysis with Agent Bricks
Franklin Templeton · Research & Development
2+
Hours saved per analyst per week
2+Hours saved per analyst per week
7
How SSE Airtricity Drives 90% Customer Engagement with AI Energy Insights
SSE Airtricity · Customer Service
90%
Customer engagement with personalized insights
90%Customer engagement with personalized insights
8
How Kantar Worldpanel Uses Databricks to Generate Market Insights Faster
Kantar Worldpanel · Research & Development
94%
Model accuracy
94%Model accuracy
9
How E.ON Uses Databricks Apps to Deploy GenAI Applications in Under 2 Minutes
E.ON · Operations
1–2 minutes
Application deployment time
1–2 minutesApplication deployment time
10
How Edmunds Uses Databricks and GPT-4 to Automate Dealer Review Moderation
Edmunds · Operations
3–5 hours
Moderator time saved per week
3–5 hoursModerator time saved per week
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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 Unity Catalog
Unified governance layer for managing access, lineage, and quality of data and AI assets across a lakehouse.
MLflow
Open-source ML lifecycle platform for experiment tracking, model registry, and deployment across training frameworks.
Delta Lake
Open-source storage layer that brings ACID transactions and scalable metadata handling to data lakes.
Databricks SQL
Serverless SQL analytics engine built on the Databricks Lakehouse, delivering high-performance queries with elastic scaling and open data formats.
Databricks Apps
Lightweight deployment framework for building and hosting data apps and dashboards directly on a lakehouse.
Databricks
Unified data analytics and AI platform built on Apache Spark for lakehouse architecture, ML, and generative AI workloads.
Databricks Model Serving
Serverless model deployment service within the Databricks platform that enables real-time and batch inference at scale without manual infrastructure management.
Databricks AI Model Serving
Managed endpoint service for deploying and serving ML models at scale within the Databricks platform.
Empresas
Empresas que usan esta herramienta en casos documentados.
Vendor
Databricks
databricks.comEmpresas
Empresas que usan esta herramienta en casos documentados.
Entiende todo el contexto.
Regístrate para leer casos de estudio completos, acceder a métricas detalladas y recibir todos los reportes.