AI is reducing manual data work, allowing engineers to focus on system design and reliability. Real-time and cloud-based data ...

Google recently published a guide outlining eight essential design patterns for multi-agent systems, ranging from sequential ...

The rapid escalation of AI/ML workloads—driven by increasingly large language models—is reshaping high-performance computing and AI data center architectures. Real-time inference and large-scale ...

Mukul Garg is the Head of Support Engineering at PubNub, which powers apps for virtual work, play, learning and health. In my journey through data engineering, one of the most remarkable shifts I’ve ...

Bloomberg’s Data Technologies Engineering team is responsible for the data collection systems that onboard all of the referential data that drive the company’s applications and enterprise solutions.

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. Data engineers engineer. Obviously they do, the clue is in ...

In the fast evolving world of data engineering, only a few professionals manage to stand out for both technical depth and the ability to translate data into meaningful business impact. Among them is ...

Last year, ZDNET ran a special feature called, "The Intersection of Generative AI and Engineering," which explored the tremendous potential of generative AI for software development and product ...

The thermal management of high-density computing environments represents one of the most consequential engineering challenges ...