Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. Automation is abundant. We sit at the point of an extended ...

Compare Data Scientist vs Machine Learning Engineer roles in India 2026. Explore salary, skills, career paths, and find which ...

Data science and machine learning technologies have long been important for data analytics tasks and predictive analytical software. But with the wave of artificial intelligence and generative AI ...

When developing machine learning models to find patterns in data, researchers across fields typically use separate data sets for model training and testing, which allows them to measure how well their ...

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...

Many organizations talk about being data-driven, yet consistently sideline data when it challenges intuition or convenience.

In recent years, JupyterLab has rapidly become the tool of choice for data scientists, machine learning (ML) practitioners, and analysts worldwide. This powerful, web-based integrated development ...

In a keynote at the Splunk .conf25 event Monday Cisco President and Chief Product Officer Jeetu Patel unveiled the new Cisco Data Fabric architecture, based on the Splunk platform, and touted Splunk’s ...

Machine Customer refers to software programs, autonomous devices, or both that act as actors engaging in transactions such as purchasing goods and services on behalf of humans or other machines. In ...

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper publishing April 22 in the Cell Press ...