Both fields are in high demand, pay well, and lead to exciting, future-proof careers. If you're deciding between becoming a data scientist or an AI engineer, the choice often comes down to what ...

The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic AI systems and the large language ...

Much has been written and discussed lately about the data scientist “unicorn” mythology where a single employee personifies a statistician, mathematician, computer scientist, DBA, coder, hardware guru ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

Databricks edged out the "Big 3" cloud giants in the latest Gartner Magic Quadrant for Data Science and Machine Learning Platforms, which itself mirrors the industry shift to agentic AI, emphasizing ...

Artificial intelligence (AI) & machine learning (ML) are areas that enable computers and machines to think and learn, and they are the two powerhouses driving innovation across industries today.

In a bid to make the lives of enterprise data engineers and data scientists easier and developers easier, Google Cloud today announced the release of six new artificial intelligence agent tools. The ...

Renewal of National Science Foundation AI support will boldly extend research and workforce development efforts. The Gates-Dell Complex at UT Austin, home to the NSF AI Institute for Foundations of ...

Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but ...