Take an agile approach to dashboards, machine learning models, cleansing data sources, and data governance Topics Spotlight: New Thinking about Cloud Computing ...

From planning to development to management to security, at CA Technologies we create software that fuels transformation for companies in the application economy. By Ayman Sayed, President and ...

Today’s data scientists and machine learning engineers now have a wide range of choices for how they build models to address the various patterns of AI for their particular needs.

IT and data teams conduct POCs on new JavaScript libraries, devops tools, public cloud capabilities, low-code platforms, database technologies, machine learning models, and data integrations.

The goal of this paper is to evaluate a state-of-the-art machine learning technique, known as Deep-SE [3], for estimating story points in a commercial project. Our dataset is comprised of 4,727 ...

You can not think of data without data science and machine learning coming to mind. They carry out specific activities but are strongly interwoven with each other. One is only complete with the other.

Scientists have successfully tested the use of machine learning models to guide the design of long-acting injectable drug formulations. The potential for machine learning algorithms to accelerate ...