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

Data is often called the lifeblood of modern healthcare. As the industry evolves, its ability to harness and act on data effectively will distinguish the innovators from the status quo. Today, ...

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 AI adoption accelerates, enterprises are rethinking fragmented data architectures in favor of unified intelligence operating models.