A novel approach from the Allen Institute for AI enables data to be removed from an artificial intelligence model even after ...

Data architecture vs. data modeling. According to Data Management Book of Knowledge (DMBOK 2), data architecture defines the blueprint for managing data assets as aligning with organizational ...

Data model governance is the process of establishing and enforcing policies, roles, and responsibilities for creating, updating, and managing data models across your organization. The purpose of ...

defining the data architecture framework, standards, and principles, including modeling, metadata, security, reference data such as product codes and client categories, and master data such as ...

Amid growing controversy over how tech giants harvest user data for AI, the Allen Institute for AI (AI2) has introduced a ...

AI fabric architecture is modular, scalable, and future-proof and the key to organizational excellence in the modern business landscape Time flies in the world of data analytics and artificial ...

According to DAMA International’s Guide to the Data Management Body of Knowledge, enterprise data architecture typically consists of three major sets of design components. First, an enterprise data ...

A headless data architecture means no longer having to coordinate multiple copies of data and being free to use whatever processing or query engine is most suitable for the job. Here’s how it works.

Many service providers offer their services in exchange for users’ private data. Despite new regulations created to protect users privacy, users are often given little choice over the way their data ...

The Covid-19 pandemic reminded us that everyday life is full of interdependencies. The data models and logic for tracking the progress of the pandemic, understanding its spread in the population ...