Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles are available in the industry? Will I need to be a good ...

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

Fragmented stacks, hand-coded ETL and static dashboards are dead; AI is forcing data management to finally grow up in 2026.

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

In the narrative of Industry 4.0, the cloud has long been the protagonist. It promised infinite storage, massive computing power, and the ability to aggregate d ...

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

The Data Engineer Lead is responsible for driving the organisation's data strategy by architecting and maintaining robust data infrastructure, enabling stakeholders access to timely, integrated, and ...

Keysight Technologies, Inc. today announced the release of the new Machine Learning Toolkit in the latest Keysight Device Modeling Software Suite. This new solution reduces model development and ...

Founded in 2014, Interview Kickstart provides structured upskilling programs for software engineers, data professionals, and ...

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

ENVIRONMENT: A Cape Town Travel Tech company that focuses on the global supply and revenue optimisation of travel ancillary products and services is looking for a hands-on Data Engineer to take ...