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 ...

Artificial intelligence is no longer a future idea. It is already part of daily life. Students use it when they search online ...

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 ...

The Engineering Science MS with a focus on AI and Data Innovation bridges the power of artificial intelligence and data science to prepare the next generation of engineers, innovators and problem ...

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

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...