Demystifying AI Industry Frameworks: How AI Maturity Is Defined and Measured
This article analyzes the approaches of AI industry frameworks to measuring AI maturity. Many organizations are rapidly expanding their use [...]
Demystifying AI Industry Frameworks: Understanding Different Approaches to AI Strategy Design
This article examines how organizations use AI frameworks for strategy development to structure their ambitions and respond to growing regulatory [...]
Tailoring AI Industry Frameworks for an Organization’s Needs
This article discusses the approach to tailoring AI industry frameworks to an organization's needs. Recently, I conducted a LinkedIn poll [...]
Solving Data Governance Challenges with The Data Management Toolkit 2
This article presents The Data Management Toolkit 2.0. This article presents the common challenges organizations worldwide face when implementing data [...]
Reshaping Data Governance: A Roadmap
This article is about a roadmap for reshaping data governance. The previous article of this series discussed why organizations may [...]
Data Management Maturity 2020: Data Modeling
Data Crossroads has published the Data Management Maturity Assessment Review for the second year in a row. In the [...]
Data Management Maturity 2020: Data Governance
Would you like to know more about data governance maturity 2020 trends? Data Crossroads has published the Data Management [...]
Data Management Maturity 2020: Methodology and General Trends
This series of articles demonstrates Data Management Maturity Trends 2020 based on the Data Management Maturity Review 202o published [...]
DAMA-DMBOK2 vs DCAM® 2.2: Maturity Models and Assessment
In this article, we compare DAMA-DMBOK and DCAM maturity models. This article is the last in the “DAMA-DMBOK2 vs. [...]
DAMA-DMBOK2 vs DCAM® 2.2: Mapping Between Frameworks
Are you interested in DAMA-DMBOK and DCAM mapping? In the previous articles of this series, for DAMA-DMBOK2 and DCAM® [...]