In today’s enterprise environments, data no longer functions as a record of what has happened. It operates as a live substrate through which decisions are executed, policies are enforced, and ...

Enterprise data systems now sit beside ranking, inference and decision pipelines that influence what users see, interact with ...

When flexibility is treated as a foundational design principle rather than an afterthought, it becomes a source of resilience ...

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 ...

Digital transformation involves the integration of digital technologies and the reimagining of business processes to enhance operations, improve customer experiences, and drive innovation. Digital ...

As mentioned in the previous articles on System Design For The AI Era, AI is more than a change in hardware and software. It is a change in design methodology that will require subsequent changes in ...

The Uptime Institute’s Tier standard is a globally recognized framework that classifies data centers into four tiers based on their infrastructure’s reliability, redundancy, and fault tolerance. These ...

Today’s “big data stack” includes databases, data management and integration software, and data analytics tools—all critical components of an effective operational or analytical data system. But all ...