Enterprise AI & Engineering Insights — Page 29

With the massive increase in work being done with distributed global teams often working from home, the opportunity for companies still using legacy ERP systems, is that there’s no better time like the present to continue to move your ERP to the cloud.

Our own Anton Kazakov walks us through a machine learning tutorial project using LabelBinarize and Keras. The goal of the project was to get familiar with model training, data preparation and predict phase.

This post will cover examples of ETL frameworks, which are the easiest and most comprehensive way to approach ETL in Python.

An understanding of data maturity can guide a company's transformation from being clueless about data to taking advantage of its full potential. In this post we compare different approaches to data maturity.

Python is currently the hottest programming language but could Rust replace Python for high performance projects? In this post we examine pros and cons of both programming languages.

Innovation Engineering is a framework for engineering solutions with innovation and emerging new technologies. In this post we uncover what Innovation Engineering means and how to start thinking in this way.

Many surprises come up during M&A technical due diligence. It’s always better to find them—and manage them appropriately—sooner than later.