Solving Data Bottlenecks with Agentic AI - Automate Your Synthetic Test Data
Platform Engineering via YouTube
Overview
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Learn how to eliminate data bottlenecks in platform engineering by leveraging Agentic AI to automate synthetic test data generation in this 44-minute webinar. Discover how to overcome common challenges including restricted production data access, slow masking processes, and manual dataset creation that hinder development, testing, and AI workflows. Explore how Tonic Fabricate automatically generates realistic, structured synthetic test data and enables platform teams to provide developers and AI practitioners with quick, compliant, self-service data access across multiple formats including databases, JSON, PDFs, DOCX, and EML. Compare different synthetic data approaches including rule-based synthesis, de-identification, and Agentic AI to determine the best method for your platform needs. Master techniques for generating highly realistic, nuanced data using Agentic AI that creates complex test datasets for development and testing while reducing the need for deep domain expertise. Examine best practices and practical platform use cases showing how automated synthetic data integrates into platform engineering responsibilities including CI/CD pipelines, API mocking, developer self-service, test automation, and AI model development, presented by synthetic data expert Mark Brocato, Head of Engineering for Fabricate at Tonic.ai and founder of Mockaroo.
Syllabus
Solving data bottlenecks with Agentic AI: Automate your synthetic test data
Taught by
Platform Engineering