23

January

2025

16:00 CET

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  • 60 minutes

  • FREE

FREE MASTERCLASS

with Dr. Irina Steenbeek

Aligning Data & AI Strategies:

Theory vs. Practice

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Are you a data or AI executive, manager, or advanced professional striving to make informed decisions about your organization’s future? This masterclass is your opportunity to gain the insights and tools necessary to navigate the complexities of data and AI strategy development.

This workshop is tailored for professionals who want to:

  • Assess whether developing a data and AI strategy is essential for the organization
  • Understand the degree of alignment required between data and AI strategies
  • Craft strategies that align with their organization’s unique needs and resources

Your key takeaways:

  • Enhance your understanding of data- and AI-related regulations
  • Gain insight into the factors influencing decisions around data and AI strategies
  • Learn industry-backed recommendations for developing effective data and AI strategies

For complete transparency, this masterclass is FREE to attend because once you know what data and AI strategies could do for your company, you may still want to attend one of our courses or programs that can help you implement proper metadata management in your company. If so, we would be delighted to work with you more closely.

However, you do not need to buy any of our courses. In fact, we would like to encourage you to attend this virtual presentation, make copious notes, and implement what we show you because it will quickly accelerate the growth of your new or existing business.

27

February

2025

15:00 CET

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  • 7 hours

  • €600

1-day online workshop

with Dr. Irina Steenbeek

Organized by Data Crossroads

HARMONIZING STRATEGIES FOR DATA, METADATA, and AI Management

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This workshop is tailored for data and AI management and governance leaders, as well as advanced professionals in data, AI, and risk management, who seek to:

  • To develop and align strategies for data, metadata, and AI management
  • Assess the current maturity level of core (meta)data and AI capabilities
  • Create an integrated roadmap for implementing the strategies

Your takeaways:

By the end of this workshop, you will have gained practical insights and skills that you can immediately apply to your role in data management. Key outcomes include:

  • A structured methodology for aligning data, metadata, risk, and AI strategies
  • Comprehensive drafts of data, metadata, and AI strategies, including implementation roadmaps
  • Insights into industry best practices and regulatory considerations for data, metadata, and AI
  • A maturity assessment of existing data, metadata, and AI capabilities
  • A SWOT analysis to guide strategic decision-making
  • Prioritized initiatives for data and metadata aligned with business objectives
  • Review and high-level requirements for data, metadata, and AI management solutions

This workshop is for you if you would like to:

  • Strengthen your professional reputation and influence
  • Open career opportunities
  • Get personal satisfaction and build a legacy

but you:

  • Never did it before
  • Want to rely on the best industry practice
  • Want to have a sparring partner to discuss different options

While a wealth of information and training is available on data governance and AI governance frameworks, the key challenge lies in not establishing them separately but determining the level of synergy needed to safeguard an organization’s resources and maximize their effectiveness.

This workshop is uniquely designed to equip you with the skills and tools required to govern data, metadata, and AI management capabilities effectively using the O.R.A.N.G.E. Framework:

Adaptable to Diverse Legislative Requirements

Legislative requirements for data and AI management vary significantly across regions, making a one-size-fits-all solution impractical. This workshop will guide you through the process of making strategic decisions regarding the required level of integration between (meta)data and AI governance frameworks.

Multipurpose and Practice-Based

The O.R.A.N.G.E. Framework is practice-oriented and can be applied to develop an integrated governance framework for data, metadata, and AI management.

Comprehensive Coverage and Integrated Implementation

The framework addresses core data management (DM) and AI capabilities for every data-related initiative. It provides a structured, integrated approach to effectively implementing these capabilities.

Practical Tools and Resources

You’ll gain access to a complete suite of ready-to-use templates and plans designed to be immediately applicable to your data management projects.

Interactive Learning Experience

The workshop features live demonstrations of the latest functionalities from leading (meta)data management solution providers, enhancing your theoretical knowledge and practical skills.

Align Data, Metadata, and AI Strategies with Business Goals:

  • Analyze an organization’s business strategy and identity (meta)data and AI initiatives that support those objectives
  • Prioritize data-related initiatives based on business value
  • Identify key stakeholders and define the business benefits of selected initiatives

Examine Factors that Influence the Strategies’s alignment level, including:

  • Data and AI regulations
  • Risks associated with data and AI
  • Existing industry data, metadata, risk, and AI management or governance frameworks

Evaluate Use Cases and Assess the Strategies’ Feasibility:

  • Analyze and match data, metadata, and AI use cases to identify opportunities for alignment
  • Examine factors that influence the strategies’ scope:
    • Data and metadata types
    • The strategy type
    • (Meta)data architecture types
    • Required data, metadata, and AI capabilities
  • Perform preliminary maturity assessments of data, metadata, and AI capabilities
  • Conduct a SWOT analysis

Draft the Strategies:

  • Use pre-fabricated templates to draft data (management), metadata, and AI strategies

Draft the Roadmaps:

    • Analyze the implementation approaches and methods that fit the organization’s strategic choices and resources

Learn from Industry Best Practices:

  • Become familiar with the industry guidelines and authorities’ strategy development approaches
  • Analyze publicly available examples of (meta)data and AI strategies
  • Become familiar with data management solution functionalities

  • Live online
  • Short lectures supported by presentation materials
  • Exercises and discussions
  • 1-hour follow-up personal consultation after the workshop
  • A business case for a made-up company or your business case

All participants of this workshop will get these additional FREE BONUSES:

  • Ready-to-use templates
  • 1-hour private coaching session with Dr. Irina Steenbeek (worth €300)
  • Access to the Data Crossroads Maturity Assessment tool (worth €1000)
Irina steenbeek

About the speaker

Dr. Irina Steenbeek is the founder and managing director of Data Crossroads. She is a data management practitioner with more than 11 years of experience. The key areas of her professional expertise are the data management maturity assessment, implementation of data management frameworks, and data lineage. Irina has practical experience in software implementation such as ERP and DWH/BI, management consultation, financial and business controls, and data science.

Throughout the years, she has worked for global institutions as well as large- and medium-sized organizations in different sectors, including but not limited to financial institutions, professional services, and IT companies.

OUR LATEST EVENTS

  • 14 March 2024 – Workshop “Establishing a Data Governance Framework for Various Data Architectures” – DG and MDM Conference Europe, London, IRM UK

  • 13 March 2024 – Workshop “Establishing a Business Case of Metadata Management” – DG and MDM Conference Europe, London, IRM UK

  • 29 February 2024 – Paid Workshop “Meta Growth: Integrating Data and Metadata Strategies“ – Organized by Data Crossroads

  • 15 February 2024 – Free Masterclass “Leveraging Metadata for Business Growth“ – Organized by Data Crossroads

  • 26 October 2023 – Live Q&A “Data Lineage and Data Quality” – Organized by Data Crossroads

  • 14 September 2023 – Online Webinar “Data Governance in the context of various data architectures” – Organized by Data Crossroads

  • 8 June 2023 – Online Masterclass “Data Strategy – Design and Implementation” – Organized by Data Crossroads

  • 23 March 2023 – Webinar “Choosing Knowledge Graphs and Data Lineage Solutions” – Organized by Trigyan
  • 23 February 2023 – Webinar “Does Your Company Need a Data Management or Data Governance Initiative?” – Organized by Data Crossroads