Before founders begin building AI systems, they should think carefully about their risk appetite, data management practices and strategies for future-proofing their AI stack.

A business stakeholder makes a request, and before the meeting is even over, ideas are already buzzing: What dashboard we ...

Strict training data management is needed throughout the model-building process by controlling and mediating the influence of multiple stakeholders. The scope and definitions of the model need to ...

A new startup, DatologyAI, claims to be able to automatically curate the massive data sets on which AI models train.

With building energy modeling, I think our foresight can be 20/20—and maybe even better. By developing energy models together with the design team early in a project, we can use data to avoid future ...

Unlock advanced Power BI features with DAX functions and data modeling techniques to elevate your data analysis skills and insights.

What is Erwin? Erwin is a Data Modeling and Database Design Application Case Tool working on Windows. CA ERwin DM creates a blueprint for the enterprises to work on a design solution. ERwin Data ...

There is no question that the model-based enterprise (MBE) is the preferred track for organizations aiming for best-in-class development practices and, ultimately, more innovative products. Yet too ...