Skip to content

Intelligence - Building Blocks

Welcome to the Intelligence Building Blocks documentation. These accelerators focus on data quality, governance, and lineage tracking to ensure trustworthy and timely data.

Overview

Intelligence capabilities provide data governance, quality controls, and lineage tracking features that ensure data is properly managed, secured, and traceable for AI and analytics workloads.


Available Building Blocks

Data Quality

Ensure data quality through validation rules and quality checks to maintain trustworthy data for AI applications.

Key Features:

  • Data Quality Validation: Validation rules and quality checks
  • Quality Monitoring: Continuous quality assessment
  • Data Profiling: Automated data profiling and assessment
  • Integration: Native integration with watsonx.data Intelligence

IBM Products:

  • IBM watsonx.data Intelligence
  • IBM Governance and Catalog
  • IBM Data Quality

Data Lineage

Track data transformations and flow across your data ecosystem for compliance and governance.

Key Features:

  • End-to-End Lineage: Track data flow from source to destination
  • Transformation Tracking: Monitor data transformations and business logic
  • Impact Analysis: Assess downstream impact of data changes
  • Compliance: Audit trails for regulatory compliance

IBM Products:

  • IBM watsonx.data Intelligence
  • IBM Governance and Catalog
  • IBM Manta

Text2SQL

Convert natural language questions into executable SQL queries using AI-powered query generation.

Key Features:

  • Natural Language Understanding: Interpret complex questions
  • SQL Generation: Generate optimized SQL queries
  • Schema Intelligence: Automatic schema understanding
  • Multi-Database Support: Support for various database systems

IBM Products:

  • IBM watsonx.ai
  • IBM watsonx.data
  • IBM Db2

Use Cases

Common Intelligence Scenarios

  • Data Quality Assurance: Validate and cleanse data before AI consumption
  • Lineage Tracking: Track data flow for compliance and governance
  • Impact Analysis: Understand downstream effects of data changes
  • Natural Language Queries: Enable non-technical users to query data

Resources


Support

For issues or questions, please refer to the GitHub repository or contact IBM support.