Before marketers commit to and execute their AI strategy, they need to understand the opportunity and difference between data analytics, predictive analytics and AI machine learning.

For example, machine learning algorithms can improve the performance of generative AI models by providing better training data or refining the evaluation process.

What is Training Data? Training data is a large dataset used to train machine learning (ML) models to process information and accurately predict outcomes. Usually, this refers to teaching prediction ...

Artificial intelligence, machine learning, and deep learning have become integral for many businesses. But, the terms are often used interchangeably. Here's how to tell them apart.

Artificial intelligence is inescapable nowadays. There’s generative AI to create an ad and AI platforms to manage campaigns. Your refrigerator and maybe even your toothbrush have AI embedded in them.

Abstract: This paper defines a set difference metric for comparing machine learning (ML) datasets and proposes the difference between datasets be a function of combinatorial coverage. We illustrate ...

Machine learning relies on huge amounts of “training data.” Such data is often compiled by humans via data labeling (many of those humans are not paid very well ).

Quality data is at the heart of the success of enterprise artificial intelligence (AI). And accordingly, it remains the main source of challenges for companies that want to apply machine learning ...