Details
Join us for our Australia & New Zealand Regional Forum meeting: “Integrating DMBOK2® and DCAM for Enhanced Data Management in AI Projects”
The rapid advancements in Large Language Models and Generative AI have heightened expectations for delivering high-quality, reliable, and ethical data solutions. However, a common misconception persists that the Data Management Body of Knowledge (DMBOK2®) from DAMA and the Data Capability Assessment Model (DCAM) from EDM Council are interchangeable and competing frameworks.
This session aims to clarify the distinct yet complementary roles of DMBOK2® and DCAM, demonstrating how their integration can significantly enhance data management practices, particularly in the context of Generative AI.
Objectives:
- Clarify Roles and Purposes: Understand the unique purposes of DMBOK2® as a comprehensive guide to data management practices and DCAM as a measurement tool for assessing data management capabilities.
- Dispel Misconceptions: Address and correct the misunderstanding that DMBOK2® and DCAM are competing frameworks.
- Highlight Integration Benefits: Showcase how combining DMBOK2® and DCAM can create a unified framework that adds significant value to enterprise data management programs. We will also showcase how these frameworks can be applied to the Kingdom of Saudi Arabia National Data Management Office (NDMO) standard and in support of their National Data Index (NDI).
- Focus on Generative AI: Define the unique challenges of managing data for Generative AI projects and discuss how DMBOK2® and DCAM can address these challenges.
- Provide Practical Insights: Offer practical steps and useful insights to help organizations accelerate their Generative AI data management projects using both DMBOK2® and DCAM frameworks.
Join us to explore a clear roadmap for integrating DMBOK2® and DCAM into Enterprise Data Governance operating models and learn how to leverage their strengths to build a well-governed data management environment that enables successful AI initiatives.
This session is essential for data management professionals seeking to align their practices with the latest advancements in AI and maximize the value of their data management programs.
Our Speakers:
- Andrew Andrews, Regional Advocate – Australia and New Zealand, EDM Council
- Howard Diesel, President, DAMA South Africa, Founder, Modelware Systems
This is the first presentation of the topic which focusses on the integration of the DMBOK+DCAM for the delivery of Enterprise AI solutions. This presentation is a high level discussion of the interplay between DMBOK and DCAM.
About the Australian & New Zealand Regional Forum:
The Australia & New Zealand Regional Forum provides a venue for EDM Council members to collaborate and share ideas on a various topics relating to Data Management and align it to local practices and existing policies.
The forum aims to:
- Bring EDM Council key resources from other groups to share relevant information such as risk, privacy, AI, etc.
- Create a stronger Australian & New Zealand EDM Council member community by increased engagement in forum discussions and knowledge sharing.
- Provide learning opportunities through member driven dialogue on their data journey and adoption of DCAM / CDMC frameworks and knowledge graph.
- Bring EDM Council key resources from other groups to share relevant information such as risk, privacy, AI, etc.
Links and Contacts
To join the Australia & New Zealand Regional Forum, log into EDMConnect
Not yet registered on EDMConnect? Create a profile here
For further questions about EDMConnect, please email Member Support
For further information, please contact Andrew Andrews, Regional Advocate, Australia & New Zealand, or Ella Tinawin, Member Support Manager, APAC Region