Modern data acquisition software helps engineers collect and analyze testing data faster. Learn how new tools are improving engineering measurement and testing.

The goal of engineering analysis is to use models of the real world to simulate and predict the performance of a design with confidence, explore design modifications, and inform downstream ...

AI tools combine dashboards, natural language queries, and predictive modeling for faster insights based on real-time data.Enterprise platforms a ...

Today’s data landscape presents unprecedented challenges for organisations, due to the need for businesses to process thousands of documents in numerous data formats. These, as Bogdan Raduta, head of ...

Data engineering is the gritty, often unglamorous work that underpins every AI model, every dashboard, and every strategic data driven decision. For years, we treated our data lakes like giant, messy ...

Data rarely comes in usable form. Data wrangling and exploratory data analysis are the difference between a good data science model and garbage in, garbage out. Novice data scientists sometimes have ...

The latest trends in software development from the Computer Weekly Application Developer Network. This is a guest post for the Computer Weekly Developer Network written by Daniel Meyer, CTO at Camunda ...

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. Automation is abundant. We sit at the point of an extended ...

Learn to address the likelihood of structural failure. Perform risk analysis associated with environmental loads to structures under static and dynamic loadings. Master the basics of performance-based ...