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Why choose this masterclass?
Knowledge

Actionable insights

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Actionable lessons for implementing data governance within your organization.
AI

AI-Driven Data Governance

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An up-to-date perspective on different aspects of data governance in light of future AI developments.
Interactive

Small group setting

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Small group setting which offers room for dynamic interaction.
Connecting

Networking opportunities

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Connect and share insights with fellow industry professionals.
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

For whom?

This masterclass is designed for professionals who are responsible for data or that are involved in decisions regarding data within an organisation, such as CIOs, CTOs, CDOs, Managers Data Management, Enterprise Architects, Data Architects, Data Management Analysts, Data Product Owners, Data Stewards, and Product managers.
 


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.
  • Managing unstructured data for AI.
  • 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.
Lecturer: Prof. 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.

Fees:

  Fee:* Application date: Start date course:
Early bird: €995 02 March 2025 15 May 2025
Standard:  €1190 14 May 2025 15 May 2025

* The fee is VAT-exempt.
 

Alumni get a 10% discount

UvA Alumni (receive a 10% discount on the standard fee. Please note that this discount cannot be combined with the early bird discount.
 

Lab42


Top location

The masterclass will be held at LAB42: an international hub for knowledge and talent development in digital innovation and AI.

Contact

Do you have questions about this masterclass?
Please contact Liza Lambert, Project Manager Lifelong Learning (Informatics Institute)
Email: professionaleducation-ivi@uva.nl