Agile AI is the DSE's proven methodology built around enabling organizations to innovate quickly and reduce the risk of failure.

In this monthly blog, we adapted the methodology to the remote environment.

Learn about common business pitfalls, their effects, and how to rise above with the right methodology steering your course in your remote data science projects.

An introduction to Agile AI for Remote Data Science

As companies invest millions into AI projects, Results are mixed. Why? No standard practice exists for implementing AI in business applications, and many organizations don’t have the experience to mitigate risk. On one hand, we know the stories of companies that created a new digital business using AI to build a new market like Netflix. However, you have probably also experienced many failed projects – for every success you have two failed projects. Read more.