Mage Blog

With the evolution of AI comes many tools for product developers. AI isn’t replacing your job, it’s making it easier and here’s how.

Technical design documents are detailed game plans for features or solutions to technical problems. They end up saving your team a lot of time and code.

The future of business means AI. Onboarding talent capable of collecting data via machine learning is expensive but essential to stay relevant.

Machines have a hard time understanding data humans can read. Apply encoding on qualitative data to train models more efficiently.

A machine learning (ML) project requires collaboration across many roles. Here are high level steps in the end-to-end ML lifecycle for each role they play.

Fueled by an increase in online shopping, e-commerce platforms have been utilizing AI to improve experience and optimize their business performance.

A process to create, review, and merge pull requests is a must when working as a team. Communication and collaboration effectively gets the job done.

As a step towards data processing, learn how to merge multiple datasets together and analyze the story behind the data.

The banking industry is an essential part of our finances. Those who adopt artificial intelligence will have a clear advantage for their future success.

Structure your interview process to emulate what it’s like to work together on your team and a typical day on the job.