Machine learning didn’t disappear — it embedded itself. These seven competencies define what marketers must architect, govern and measure for 2026.

Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles ...

One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...

The ability to write parts of SQL queries in natural language will help developers speed up their work, analysts say.

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

The convergence of artificial intelligence, cloud-native architecture, and data engineering has redefined how enterprises ...

With the textile industry facing mounting scrutiny over the environmental impacts of fast fashion, two researchers from ...

Teradata (NYSE: TDC) announced its inclusion in the 2025 Gartner Peer Insights™ Voice of the Customer for Data Science and ...

Teradata (NYSE: TDC) announced its inclusion in the 2025 Gartner Peer Insights™ Voice of the Customer for Data Science and Machine Learning (DSML) Platforms. This recognition highlights direct ...

Here's how AI-driven, agentic systems are reshaping software quality engineering, and what organizations can do to prepare ...

Find out why the most popular mathematical subjects in engineering in 2026 are calculus and linear algebra. Discover how ...

Revolut, the global fintech with more than 65 million customers, is launching a new in-app feature designed to protect users ...