As artificial intelligence revolutionizes manufacturing, adoption of the technology is still hindered by challenges like data quality, legacy infrastructure and workforce adaptation. Advances in ...

Manual reporting, scattered systems and month-end chaos are quietly eroding margins across clean energy portfolios. Here’s how automated, integrated ...

In a recent Views & Comments column published in Engineering, researchers Jinghai Li and Li Guo from the Chinese Academy of Sciences offer profound insights into the future development of data science ...

As healthcare data grows more complex and cyber threats become more severe, the need for strong data governance and cohesive, system-wide analytics strategies has never been greater. Yet even today, ...

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 ...