Mage Blog

We’ll explore the different types of Artificial Intelligence (AI) and examples of how they are used today.

Having a continuous integration/continuous delivery pipeline greatly speeds up the process of testing, building, and deploying without sacrificing quality.

Improve user experience by transitioning from a searching experience to a surfing experience. Learn how to do filter, sort, and group data with Python.

The impact of the pandemic has manufacturers focus on operational efficiency and production quality and mitigate risk, to alleviate safety concerns.

Without good performance, machine learning (ML) models won’t provide much value. Introducing, strategies to improve model performance metrics and runtime.

When working with AI, it’s important to know how to import data sets, read through tables, and understand what the structure is.

The question is not whether to adopt AI, but how. Do research to evaluate whether you have enough resources to solve your business problem with AI or ML.

Light Bulb is a tool to help you label, train, test and deploy machine learning models without any coding.

Artificial Intelligence is assisting sports, both on and off the field. There are challenges and concerns, but assistants have advantages for the future.

Don’t let your role define your responsibilities. Do things you’re unqualified for. Go out of your way to serve others.