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Fast distributed SQL query engine for big data analytics.

A unified platform for building, deploying, and managing AI agent systems securely.

Databricks Machine Learning provides a unified platform for developing and deploying AI agent systems. It allows users to securely connect data with any AI model to build accurate, domain-specific applications. The platform offers tools to build agent systems tuned on enterprise data across multiple systems, supporting both classical ML and GenAI models. Key features include built-in evaluation through Mosaic AI, enabling measurement of agent output quality with AI judges, identification of production issues, and root cause analysis. Databricks emphasizes data security with end-to-end governance, enforcing guardrails, automating access controls, and tracking data lineage across workflows. It supports integration with existing data infrastructure to automate operations, generate customized solutions, and deliver high-quality responses. Databricks helps in unifying data, scaling AI initiatives, and boosting efficiency.
Databricks Machine Learning provides a unified platform for developing and deploying AI agent systems.
Explore all tools that specialize in model evaluation. This domain focus ensures Databricks Machine Learning delivers optimized results for this specific requirement.
Explore all tools that specialize in track ml experiments. This domain focus ensures Databricks Machine Learning delivers optimized results for this specific requirement.
Explore all tools that specialize in train machine learning models. This domain focus ensures Databricks Machine Learning delivers optimized results for this specific requirement.
Explore all tools that specialize in monitor model performance. This domain focus ensures Databricks Machine Learning delivers optimized results for this specific requirement.
Explore all tools that specialize in train and evaluate machine learning models. This domain focus ensures Databricks Machine Learning delivers optimized results for this specific requirement.
Built-in evaluation framework for AI agents using AI judges to measure output quality and identify issues. Supports any AI model.
Enforces guardrails, automates access controls, sets rate limits, and tracks data lineage across the entire workflow.
Integrates data, analytics, and AI workloads on a single platform, simplifying development and deployment.
Automatically discovers and transforms raw data into features suitable for machine learning models.
Scalable and reliable model serving infrastructure for deploying models as REST APIs.
Seamless integration with Delta Lake for reliable and scalable data storage and processing.
Set up a Databricks workspace.
Connect to your data sources (e.g., data lake, databases).
Choose a pre-built or custom AI model.
Develop the AI agent using the Databricks SDK or API.
Implement data governance and security policies.
Evaluate the agent's performance using Mosaic AI.
Deploy the agent to a production environment.
Monitor and maintain the deployed agent with automated workflows.
All Set
Ready to go
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Fast distributed SQL query engine for big data analytics.

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