Data Modernization with Agentic AI

Overview Data Modernization with Agentic AI utilizes AWS services and autonomous AI agents to transform data management and analytics. It simplifies modernization, fosters cross-team collaboration, and enables personalized, AI-driven insights through autonomous decision-making.

Product Features Key features include autonomous data integration, intelligent data transformation, a contextual analytics engine, and adaptive data governance—each enhancing automation, accuracy, and compliance across data workflows.

Tools and Services Used The solution leverages a wide array of AWS services, including Amazon Bedrock, Lambda, S3, Glue, Redshift, QuickSight, Amazon Q, SageMaker, IAM, CloudWatch, CodePipeline, Step Functions, EventBridge, and DynamoDB to build a fully integrated, cloud-native data platform.

Benefits It accelerates data modernization by streamlining migration and integration tasks, enhances data quality through automated validation and enrichment, and supports adaptive governance with automated compliance. The solution reduces costs, enables self-service analytics via natural language interfaces, and scales seamlessly with growing data needs.

Potential Users This solution is ideal for data engineering teams, data analysts and scientists, business stakeholders, and compliance or security teams seeking to modernize and optimize data workflows.

Use Cases Common use cases include adaptive data integration, intelligent governance, context-aware analytics, and self-service data operations driven by natural language and automation.

Flow and Architecture The architecture follows a structured flow: data discovery and ingestion, processing, insight generation, governance enforcement, and orchestration—ensuring end-to-end modernization and control.