Masterclass: Modern Data Governance
This masterclass provides a guide to modern approaches for data governance that help manage large amounts of data, and assists organisations with compliance as well as faster and more timely outcomes. These approaches are presented in the context of increasingly powerful AI technologies for unstructured data and cloud-native data platforms. In addition, during this masterclass we will apply these technologies to the data governance issues you might have, so bring the data governance challenges you are facing!
Why choose this masterclass?
Actionable insights
Actionable lessons for implementing data governance within your organization.
Artificial Intelligence
An up-to-date perspective on different aspects of data governance in light of future AI developments.
Interactive
Small group setting which offers room for dynamic interaction. I really liked the content structure of the masterclass and the technical level of depth, the professor's engagement and detailed explanation, and the diverse group of professionals from global industries. Kriti Trigunayat, Senior Manager, Enterprise Data Strategy & Design.
I really liked the content structure of the masterclass and the technical level of depth, the professor's engagement and detailed explanation, and the diverse group of professionals from global industries.
During this masterclass you will learn about:
- The data lifecycle perspective on data governance.
- Data Quality (central for AI applications).
- Making sure data is correct, transparant and (re)usable.
- Understanding core technologies for data governance with respect to the modern data stack.
- AI applications for unstructured data.
- The relationship between machine learning and data governance.
- Key roles and areas of expertise that are needed to for data governance.
- Key approaches for deciding when to build or buy technology data governance.
Whom is this masterclass suitable for?
This masterclass is designed for professionals who are responsible for data or that are involved in decisions regarding data within an organization, such as CIOs, CTOs, CDOs, Managers Data Management, Enterprise Architects, Data Architects, Data Management Analysts, Data Product Owners, Data Stewards, and Product managers.
Lecturer: prof. dr. Paul Groth
Paul Groth is Professor of Algorithmic Data Science at the University of Amsterdam where he leads the Intelligent Data Engineering Lab (INDElab). This lab works on intelligent systems that help people with the preparation, management, integration, and reuse of data. Groth is also the scientific director of the UvA Data Science Centre. He holds a Ph.D. in Computer Science from the University of Southampton (2007) and has done research at the University of Southern California, the Vrije Universiteit Amsterdam and Elsevier Labs.
