The Covid-19 pandemic reminded us that everyday life is full of interdependencies. The data models and logic for tracking the progress of the pandemic, understanding its spread in the population, ...

Name the hot buttons about generative artificial intelligence, and they often center around data. Concern over understanding the context of data stems from the need to ensure that AI models are ...

In today’s data driven world businesses turn to modern data architectures to harness data, drive innovation and stay ahead of ...

Data scientists and data engineers are both critical roles for data-driven organizations. When they work well together, it can be magical. But too often, their relationships are fraught with tension ...

Data modeling has always been a task that seems positioned in the middle of a white-water rapids with a paddle but no canoe. On one side of the data modeling rapids are the raging agilists who are ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Data analytics is defined as the capability ...

The latest trends in software development from the Computer Weekly Application Developer Network. In 2023, data scientists at a major financial services (FSI) firm built sophisticated ML models to ...

Qlik expands its agentic execution strategy into data engineering, introducing capabilities that help teams create, evolve ...

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.