New semantic generators turn definitions and relationships in enterprise data models into reusable semantic layers for ...

In this data-driven era, organizations are realizing the significance of governing their data. Poor governance can lead to low data quality and lack of visibility. Deploying a data stewardship or ...

More than any other factor, the hyperabundance of accessible data has powered today’s surge in AI adoption and generative AI capability. Collecting, cleaning, organizing, and securing that data for AI ...

State and local governments are embracing data modeling and governance strategies to advance efficiency, sharpen decision-making, and elevate their service delivery. In so doing, they’re helping ...

Data governance without robust data quality is essentially bureaucracy disguised as governance. And for those handling data ...

Organizations that treat their data as an asset have a data governance framework that matches their style, structure and culture. Organizations of all sizes collect, store and process data from ...

Large enterprises in regulated industries, especially in data-rich financial services and insurance, have invested significantly in data governance programs. Other businesses have been catching up as ...

Air Canada's chatbot hallucinated a bereavement policy that resulted in financial liability through a tribunal ruling. Meanwhile, NACD survey reports that while 62% of organization boards now hold ...

As AI helps improve efficiency and decision making across industries and organizations, almost all startups are building their own AI model. However, there’s one critical aspect that most startups ...

Data literacy is a key component of data governance. Learn why it’s important to data governance and how to improve your data literacy skills. Data literacy—the ability to read, understand, create and ...

New semantic generators in Data Architect transform business definitions and relationships already captured in enterprise data models into semantic models and layers for AI, Microsoft Power BI, dbt, ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...