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 ...

The transition from basic RAG to AI Infrastructure powered by Context Engineering is not a future scenario, it is today’s ...

This article explores the potential of large language models (LLMs) in reliability systems engineering, highlighting their ...

For decades, enterprise data infrastructure focused on answering the question: “What happened in our business?” Business intelligence tools, data warehouses, and pipelines were built to surface ...

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 ...

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