TDWI: Data Management and Governance | Data Masterclass

TDWI Transform 2026

Sept. 20-25 | The Leading Data & AI Conference

Data Management & Governance

Build the strong data foundation required for AI, BI, and analytics success. Modern data management requires a holistic approach, encompassing data quality, governance, preparation, and integration. In the era of AI, effective data and AI governance are essential to ensure that data is trusted, well-understood, and used responsibly—enabling reliable outcomes, trusted AI, scalable analytics, and deeper insights across the enterprise.

Masterclass List

Who Should Attend

AI governance leads and stakeholders
Data architects, solution architects, integration architects, IT architects, enterprise architects, application architects
Data stewards, data curators, and other data governance and data quality professionals
Data engineers, software engineers, system engineers, solutions engineers
IT analysts, technical analysts, data analysts, systems analysts, requirements analysts
Database developers, DBAs, software developers, application developers, data warehouse developers, data integration developers
BI and data warehousing program managers, project managers, and directors

Hot Topics

Data and AI governance programs and practices
Data privacy and protection
Governing data, BI, and AI
Metadata and data quality management
Modern data modeling practices
Data integration, data engineering, and data pipelines
New technologies and techniques for managing data
Business information requirements techniques

Register Online

Save your seat for the industry’s most valuable learning event – where strategies are validated, skills are sharpened, and the foundation is laid for long-term data and AI success.