McClusky added that, when implementing a machine learning project, be sure to use an extract transform load (ETL) to acquire the data rather than the production database itself. Automate the data ...

Underscoring the value PepsiCo sees in machine learning, the company is having Mirza teach an internal course with his R&D associates on advanced machine learning and computer vision. He said an ...

A platform that lets surgeons browse videos of past operations has found a way to make its machine learning more effective. Using PyTorch to streamline machine-learning projects | ZDNET X ...

Automated machine learning will allow many of American Fidelity’s employees—actuaries, business analysts, and programmers to develop machine learning applications without relying on a data ...

Machine learning projects use large datasets, since larger datasets facilitate better predictions. But as the size of the data increases, so do the challenges. Data is usually merged from multiple ...

ServiceNow is rolling out a machine learning engine that's designed to predict outages, automate routing and workflow, predict outcomes, and benchmark performance. The engine, called the ...

In a recent McKinsey survey, only 13 percent of CFOs and other senior business executives polled said their finance organizations use automation technologies, such as robotic process automation ...