Deloitte AI Agent 32
Deloitte AI Agent 32: Unlock intelligent automation and transform your operations.
Publisher
Deloitte Consulting
Product Details
This agent generates single-table and multi-table synthetic data from sample data and data definition language (DDLs). It is part of a set of 4 agents built with Vertex AI for creating synthetic datasets for analytics, software testing, and privacy compliance.
The agents analyze sample data to discern table schemas and extract statistical profiles. They uncover cross-column and cross-table relationships and turn them into rules so the synthetic data reflects the complexity of real datasets. They then generate Python code to create synthetic data files that preserve the statistical integrity and relational structure of the original data without exposing sensitive information. Technical and cross-functional teams are the primary users. Organizations can provision data quickly for development and machine learning while meeting privacy and regulatory standards. This is a custom agent. Contact Deloitte to deploy this agent in your enterprise.
Key Use Cases
Privacy-Preserving Test Data Provisioning
Analyzes relational schemas and statistical profiles via Vertex AI to generate multi-table synthetic datasets that comply with data privacy regulations while enabling reliable software QA.
Machine Learning Model Prototyping
Produces Python generation scripts that output high-fidelity synthetic data preserving real-world cross-table distributions for model training without exposing production data.
Explore detailed deployment path
Requires Gemini. Access integration prerequisites, specialized agent configuration guides, and implementation documentation.