Research combining deep learning methodologies with Analytic Hierarchy Process establishes comprehensive frameworks for data security risk ...

At its heart, data modeling is about understanding how data flows through a system. Just as a map can help us understand a city’s layout, data modeling can help us understand the complexities of a ...

Humans have a natural tendency to find order in sets of information, a skill that has proven difficult to replicate in computers. Faced with a large set of data, computers don't know where to begin -- ...

Fragmented naming conventions and unstructured data across PLCs, SCADA, MES and ERP systems undermine even the most advanced ...

Shift left has become a rallying cry for the chip design industry, but unless coherent data can flow between the groups being impacted, the value may not be as great as expected. Shift left is a term ...

Work-related injuries are a complex and costly problem. Musculoskeletal Disorders (MSDs) are among the most widely spread occupational issues in industries and services, with increasing expenses of ...

For years, energy and utility enterprises have seen the writing on the wall, anticipating the need for major business transformations. The growing outcry for global carbon neutrality, the convergence ...