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 Enterprise Data Management 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.

Speaker: Andrew Andrews

Andrew is a senior business and technology leader who has launched successful new businesses and led large-scale digital transformations to maximize the value of data. Respected as a global Data Governance and Data Management authority, he advises senior IT, business, and data leaders on establishing best practice data management strategies. Highly experienced professional, author, and facilitator, Andrew has a long record of achievement in data governance, data analysis, data quality, master data management, and business intelligence within the banking, health, education, natural resources, Not-for-profit, and government sectors. Andrew has delivered numerous presentations internationally for MIT, DATAVERSITY, and DAMA events.

He is a Regional Advocate for Enterprise Data Management Council A&NZ, past Vice President of Global Marketing at DAMA International, past National President at DAMA Australia, and a member of the International Leader’s Data Organisation. Andrew is also a regular podcast presenter and former mentor for the University of Adelaide MBA academic program and ThincLab Innovation Accelerator.

Speaker: Howard Diesel

Howard Diesel specializes in helping CDOs, EIM Heads, and Information Governors to establish beneficial Information Governance programs in large, complex information-dependent institutions. He is experienced in establishing an effective EIM Centre of Excellence (COE) that entrenches Information Governance by providing EIM Journeys that deliver business value. You can reach him at [email protected] and [email protected].

He has worked for most of the major financial service providers in South Africa, with experience in Banking, Central Banking, and Insurance. He is the current President of DAMA South Africa and constantly does presentations at the monthly meetings in Johannesburg and Cape Town. Specialties include Data Governance, Business Glossaries, Taxonomies and Ontologies, Data Risk Management, Data Architecture, Data Warehouses, Self-Service Business Intelligence, and Database Administration. He provides training in many areas of Data Management, focusing on Business Data Management, Data Governance, Data Architecture, Data Operations, Data Warehousing, and Business Intelligence.