Excel's Data Model feature allows you to build relationships between data sets for easier reporting. Here's how to use it to make data analysis easier.

One of the most important steps in desiging a database is establishing the data model. Part one of a two-part article describes how to create a logical model.

As AI evolves from prediction to autonomy, enterprise systems must adapt—meeting new demands in data retrieval, caching, ...

In risk modelling, quality data might include up-to-date credit scores, income information, payment histories, and other financial indicators. It should be free from errors, duplications, and ...

Data models are used to represent real-world entities, but often have limitations. Avoid common data modeling mistakes for data integrity.

Confidentiality, to a lesser extent, and integrity, to the greatest extent, are the most important considerations with AI ...

Securing this environment requires moving beyond static roles, perimeter defenses and after-the-fact monitoring. Organizations need data-centric security that embeds protection at the source, adapts ...

Data poisoning is a type of attack that involves tampering with and polluting a machine learning model's training data, impacting the model's ability to produce accurate predictions.