As we are in the process of hyperscaling the large volumes of data that our devices and sensors create, processing this data along the way at far and near edges, and transmitting the hard-to-imagine ...

A system-engineering approach is essential for an efficient design in a complex system. Comprehension of conflicting requirements of participating subsystems and integrated designs are key elements ...

How Governance-by-Design Frameworks Are Reshaping Responsible AI in Enterprise Systems As artificial intelligence cont ...

Modern control system design is increasingly embracing data-driven methodologies, which bypass the traditional necessity for precise process models by utilising experimental input–output data. This ...

The benefits of using simulation early and often in the product development process are clear. You can verify requirements and begin studying and exploring design alternatives before prototyping and ...

A fundamental divide between data engineering and business analytics complicates how organizations operate in a rapidly evolving digital environment. Enterprises manage unprecedented volumes of ...

Developing human-centered, physics-based, and AI-enabled design methods for creating engineering products and systems that address societal challenges Design combines engineering, business, the arts, ...

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 ...

The landscape of software development has undergone a significant transformation, with data engineering emerging as a crucial discipline while traditional back-end engineering roles evolve. This is ...