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Unlocking the True Value of Data: Turning Your Data into a Business Asset

In today’s digital economy, data is one of the most valuable yet underutilized assets a business holds. Recognizing this, the Isle of Man Government, in collaboration with the EDM Association, has developed the world’s first legal framework that transforms data from an overlooked resource into a trusted, investable asset class.

Building on the success of our September session, Part 2 of the Data Asset Foundations series moves from vision to action — unveiling the upcoming Pilot Program that will empower businesses to unlock measurable commercial value from their data.

This session will outline what the Pilot involves, the journey businesses will take to establish their own Data Asset Foundation, and the commercial advantages of early participation.

At its core lies a simple idea: Data is your power — and when structured, governed, and valued as a trusted asset, it becomes a catalyst for innovation, growth, and competitive advantage. 

Why Attend:

Join us to explore how your business can:

  • Monetize data to unlock new revenue streams and enhance enterprise value
  • Build trust and credibility with lenders, regulators, and partners through embedded governance, assurance, and audibility
  • Drive innovation and collaboration across ecosystems through secure and compliant data sharing
  • Lead the market by taking part in a world-first initiative defining the future of data economy

Whether you are a CEO, CFO, Chief Data Officer, Chief Digital Officer, or Transformation Leader, this session will provide a strategic perspective on how data can be leveraged not just for insight but for measurable business impact.

If you missed our first webinar, you can watch the recording now. Then join this pivotal session to understand why the Data Asset Foundations Pilot represents a unique opportunity for forward-thinking leaders to redefine how business value is created and realized in the digital age.

Using CDMC for AI, Data and Analytics Controls (ADAC)

As AI becomes integral to business strategy, organizations face growing pressure to ensure their models are transparent, well-governed, and responsibly deployed. In this session, experts will demonstrate how the CDMC framework can be extended with model risk management best practices to establish strong governance for AI.

You’ll be introduced to the AI, Data, and Analytics Controls (ADAC) framework—developed by the team behind CDMC—as a practical approach for managing AI use cases. The session will feature real-world examples of ADAC in action, including a full lineage trace of a frontier large language model (LLM), illustrating how organizations can maintain trust, accountability, and compliance throughout the AI lifecycle.

From Foundations to Future: Data Governance Strategy & the Evolving Data Profession

Join us for an engaging discussion with leading data experts as we explore two highly requested topics from our WDP community:

  • Building a Data Governance Strategy from Scratch
  • Career Paths in Data: Roles, Certifications and Professional Development Opportunities

This interactive session will feature industry leaders sharing practical frameworks for standing up governance programs that scale, along with insights on established and emerging roles, certifications, and professional development pathways shaping the future of the profession. Whether you are developing your organization’s governance foundation or charting your own career roadmap, this session will offer valuable perspectives and actionable takeaways to navigate the changing landscape.

From Experimental to Enterprise: How Semantic Layers Make AI Trustworthy

Large Language Models promise to transform analytics, yet enterprises consistently encounter hallucinations, inconsistent responses, and outputs they can’t trust for strategic decisions. The fundamental issue isn’t the AI – it’s the missing context layer that provides governed metrics and business logic.

A semantic layer solves this by codifying domain knowledge and enabling full traceability. When AI systems access the same governed logic that powers trusted BI, they become consistent, explainable, and enterprise-ready. In this webinar you will learn:

  • Why AI systems fail without proper context and governance
  • How semantic layers create trustworthy, traceable AI outputs
  • Integrating semantic layers with data governance frameworks
  • Steps to operationalize AI that’s reliable and scalable across enterprise use cases

AI Needs Data Products (and Data Products Need AI)

This webinar will examine the pivotal role of data products in fueling the AI revolution. We’ll explore how AI not only powers the creation and consumption of data products, but also relies on robust metadata to ensure trust and reliability. The discussion will highlight the use of Generative AI to automate data product development, along with essential techniques for safeguarding design integrity. We’ll also cover how natural language interfaces are transforming the way organizations interact with data products, concluding with a case study presented by the Chief AI & Data Officer of digital-first, India-based financial innovator L&T.

  • Finance, will be used to illustrate these points.
  • Learn about quantification of Return-On-Data Investments (RODI).
  • Strategies for future-proofing AI deployments across evolving cloud and LLM landscapes.
    Learn how business users can be empowered to create data products through a scalable manufacturing process using Generative AI.
  • Discover how business users can be empowered for self-service access to data using natural language interfaces via Generative AI.

AI Governance Working Group Kick Off

Join us for the AI Governance Working Group Kick Off September 30th!

As AI rapidly transforms enterprises, fundamental questions remain: What is AI governance? How does it integrate with existing data governance? The AI Governance Working Group, co-led by Informatica, Prodago, and EDM Association, will establish the definitive framework for implementing practical AI governance—from privacy and security to model management and regulatory compliance.

Help shape industry standards, contribute to actionable frameworks, and ensure your organisation’s voice influences how we govern AI responsibly.

Links & Contacts

Not yet registered on EDMConnect? Create a profile here

For further questions about EDMConnect, please email Member Support

For further information, please contact Stella Cabrera, Senior Advisor, Authorized Partner Program

Canada Regional Forum – The New Skill Mix for Data Focused Organizations in the AI Era

Hear from experts at our next Canada Regional Forum Meeting October 2nd.

As organizations continue to navigate the accelerating pace of AI adoption, cloud transformation, and the evolution of data-centric roles, the New Skill Mix for Data-Focused Organizations in the AI Era becomes more relevant. The accelerated evolution of AI is driving rapid change into data estates and eco-systems, which includes increased adoption of technologies to support the AI era — such as cloud computing and high performance architecture — while balancing a diverse AI landscape.

This meeting will explore how organizations and roles will be faced with a demand for new skills, new knowledge in emerging technologies and methods, and how collaboration across functional units will have greater importance. Attendees will gain insights from an end to end (or “full life-cycle”) perspective, including architecture, operations, AI and ML Ops, engineering, data science and governance.

Register Here

Links & Contacts

Not yet registered on EDMConnect? Create a profile here

For further questions about EDMConnect, please email Member Support

For further information, please contact Amanda Cassidy, Member Services Manager, Canada

Best Practices & Excellence in Data Management: DCAM v3 Sets the Standard

The EDM Association’s Data Management Capability Assessment Model (DCAM) has served as the globally recognized framework for data management best practices since its launch in 2014. Built in collaboration with leading data professionals, DCAM defines the capabilities required for organizations to manage data as a strategic asset and achieve excellence in analytics and governance.

Now, with the release of DCAM v3 (July 2025), organizations have access to the most comprehensive and practical update yet—designed to address the realities of today’s rapidly evolving data landscape. This landmark version delivers new insights, expanded guidance, and enhanced applicability to modern data challenges across industries.

Join us for this session to:

  • Understand what’s new in DCAM v3 and why it matters.

  • Explore how organizations are using DCAM to benchmark, improve, and future-proof their data practices.

  • Learn best practices that set the foundation for effective, trusted, and value-driven data management.

Whether you are just beginning your data management journey or looking to elevate your existing practices, this webinar will provide actionable takeaways to help you unlock excellence with DCAM v3.

Achieving Regulatory Compliance with Trusted Data in the Cloud

Join us for an EDMWebinar in partnership with Informatica on how managing Regulatory Compliance with trusted data can transform your cloud journey. Discover how organizations can navigate today’s compliance requirements while strengthening their data and AI governance.

In this webinar:

  • Learn about global developments in regulatory legislation and potential impact on organizations’ data management.
  • Hear about the latest trends, market insights and state of AI governance and what this means for regulatory compliance.
  • Understand the importance of trusted data for regulatory compliance to drive business value.

Explore how today’s AI-powered solutions, such as Informatica’s Intelligent Data Management Cloud (IDMC), are enabling data leaders to build confidence in their regulatory compliance strategy.

Australia & New Zealand Regional Forum – DCAM® v3: Elevating Standards in Data Governance and Strategy

Hear from experts at our next Australia & New Zealand Regional Forum Meeting September 3rd.

The EDM Association invites you to an exclusive session on the Data Management Capability Assessment Model (DCAM®) Version 3, the industry-standard framework for advancing data management excellence. This meeting will explore the latest updates to DCAM v3, including enhanced practices for governance, metadata management, data quality, and operational efficiency.

Attendees will learn how leading organizations are using DCAM v3 to:

  • Strengthen governance and controls
  • Drive business value through trusted, high-quality data
  • Align data practices with regulatory and industry standards

Join us to connect with peers, discuss implementation strategies, and discover how the EDM Association supports the global data management community through training, certification, and collaborative initiatives.

Register Here

Links & Contacts

Not yet registered on EDMConnect? Create a profile here

For further questions about EDMConnect, please email Member Support

For further information, please contact Ella Tinawin, Member Support Manager, APAC Region