In a diverse and dynamic technology landscape, how can companies create a more intelligent approach to data management? Composable data systems based on open standards may be the next big thing for ...

Naren Narendran is Aerospike’s Chief Science and Engineering Officer. He has previously worked at Bell Labs, Google and Amazon. Enterprise AI has evolved rapidly—from predictive models answering ...

Washington, D.C., is breaking down data silos with the development of its Education Through Employment Data System, designed to unify data across the workforce-to-education continuum. The initiative ...

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 ...

Enterprise data systems now sit beside ranking, inference and decision pipelines that influence what users see, interact with, and act on. At scale, these systems often remain operational while ...

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 ...

Public health departments depend on accurate and timely data to guide their efforts to control the spread of disease. Full integration of information technology is the norm for other essential data ...

Migrating or rebuilding an analytic platform is among the most complex technology initiatives an enterprise can undertake. The most commonly cited study concludes that 83% of such migrations fail or ...

President Donald Trump signed an executive order March 20 to give more latitude to federal agency heads seeking access to government data systems. The order, titled Stopping Waste, Fraud, and Abuse by ...

As user acquisition costs continue to climb and the complexity of global game operations intensifies, many studios are discovering the limitations of their traditional analytics tools. The modern ...