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 ...

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 ...

Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models ...

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

In 2025, enterprise data platforms support business operations by combining analytics, governance and orchestration in one system, increasingly with generative and agentic AI-enabled features to ...

To help professionals build these capabilities, we have curated a list of the best applied AI and data science courses.

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.

Key TakeawaysThe Materials Project is the most-cited resource for materials data and analysis tools in materials science.The ...

Every SOC leader knows the feeling: drowning in alerts, blind to the real threat, stuck playing defense in a war waged at the speed of AI. Now CrowdStrike and NVIDIA are flipping the script. Armed ...

In this contributed article, Deddy Lavid, CTO of Presenso, offers 5 important questions to ask when considering machine learning managed services, specifically can new technology provide viable ...