Opleiding: Data Management for the AI Era (eLearning+Classroom) (EN)
Do you want to work in a data-driven way or make use of AI? Then Data Management Foundation is essential for you!
Data Management Foundation helps you understand the key components of Data Management, develop a Data Strategy, and create an implementation plan for your organisation. This approach describes the Data Management components required to operate as an AI and Data-Driven Leader and achieve success in our data-driven world. The objective is to enhance your data management skills so that your organisation can manage data as a critical factor for business success.
This learning pathway is designed to provide a comprehensive framework for general data management while specifically enabling data management for Artificial Intelligence. Our approach to Data Management includes and goes beyond generic, process-based methods such as DAMA DMBOK2or FAIR by incorporating specific recommendations to manage data as a source of competitive advantage.
For anyone within an organization who bears responsibility for data or for the deployment of AI:
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CDOs / Heads of Data
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Members of the Data Governance Council:
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Data Governance Leads
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Data Owners
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Data Stewards
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Enterprise Architects
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CIOs
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Heads of AI & Analytics
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Compliance Officers, CISOs
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Internal audit / legal roles responsible for assessing data and AI risks
Our approach to Data Management encompasses and goes beyond generic, process-based approaches such as DAMA DMBOK2 or FAIR by incorporating specific recommendations to manage data as a source of competitive advantage:
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Enabling data processing by both humans and machines
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Managing digital assets within an ecosystem, both internally and between parties
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Generating digital assets from data that enhance your organization's competitive position
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Selecting infrastructure and vendors, including cloud services
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Preparing your data to compete in ecosystems
The learning objectives are:
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Understanding why data matters today and why companies struggle with it
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Acquiring foundational knowledge of the core concepts of 'data', 'big data', and 'data management'
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Learning how to manage data to create value from it
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Discovering the Data-Driven Leaders' approach to managing data
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Developing your own data strategy (individually or as a team)
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Choosing the infrastructure and vendors you need to operate as a Data Leader
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Implementing Data Management within your organization
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Assessing and continuously improving your data management maturity
The course references many external sources, including DAMA DMBOK2, Linked Data, and other relevant frameworks and standards.
This learning journey consists of: - an e-learning with a series of multimedia microlearnings - quizzes to test your knowledge - support from our AI "learning buddy", so you experience how an agent helps you - one day of classroom participation in Utrecht with an English-speaking trainer
Would you like to explore the data-driven side further? Then have a look at our AI and Data Driven Business Model programme. You can also deepen your knowledge of AI itself, for instance with the AI Ethics and the EU AI Act programme.
Blended: e-learning and one classroom session
