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 ...

Knowledge graphs and ontologies have emerged as pivotal tools in process engineering, enabling the integration, simulation, and optimisation of complex industrial processes. By providing a structured ...

Over the years, the field of data engineering has seen significant changes and paradigm shifts driven by the phenomenal growth of data and by major technological advances such as cloud computing, data ...

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.

Gupta, A., Poels, G., and Bera, P. (2021) Using Conceptual Models in Agile Software Development: A Possible Solution to Requirements Engineering Challenges in Agile ...

Digital engineering and modeling and simulation (M&S) are transformative approaches that enable precision, efficiency and ...