This masterclass will teach you about:

• The data lifecycle perspective on data governance.
• Understanding core technologies for data governance with respect to the modern data stack.
• The relationship between machine learning and data governance.
• What expertise areas and roles are needed to for data governance in organizations that rely on data.
• Key approaches for deciding when to build or buy technology data governance.

During the masterclass, the following topics will be discussed:

Data governance in your organization:
•    Discussing your challenges (moderated discussion)
•    Data governance in practice
Core Technologies:
•    Data Lifecycles
•    Data Observability and Lineage
•    Managing Semantics and Knowledge Graphs
•    Artificial Intelligence (e.g. governance of machine learning models, the role of AI in the spectrum of unstructured data to structured data)
People & Processes:
•    Key roles in data governance
•    Selecting technologies
•    Making a plan (moderated discussion)

This masterclass is aimed at senior professionals that are involved in decisions regarding data within an organization, such as CIOs, CTOs, CDOs, Enterprise Architects, Data Architects, Data Product Owners, Data Stewards, and Product managers.

At the end of this masterclass, you will be able to:

•    Decide on personal hiring and training plans for staff.
•    Prioritize which technology investments to make and whether to build or buy technology.
•    Use data governance to identify efficiencies and prioritize data acquisition.
•    Speed time to market by enabling teams to find and use the data they need.

In addition to content about data governance for compliance, this masterclass will also provide insight into management structures and techniques for value creation. In particular, the role of Artificial Intelligence within different aspects of data governance will be discussed.