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.

While the mathematical and logical thinking skills necessary to be successful as a data scientist are also helpful for a career as a data analyst, there are some notable differences between the two.

Looking ahead, the integration of AI into analytics and data science is set to deepen. Advances in generative AI models will further shape the field, enhancing model transparency and enabling more ...

Understanding the differences between business intelligence, artificial intelligence, and data analytics can be a challenge to many people. For many business processes, there seems to be so much ...

A generative AI chatbot like ChatGPT, for instance, is also a neural network, which is an ML model that allows software to identify unexpected patterns or connections across a breadth of data. The ...

As things become more complex—moving from AI to machine learning or machine learning to deep learning—the more data you have, the better these systems will be able to learn and function.