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 ...

Enterprise technology vendors are racing to make AI work against the structured and relational data inside databases, data ...

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 ...

Intelligence without integrity is just sophisticated risk. To build AI that lasts, you have to apply zero-trust principles to ...

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 ...

AI innovations have long promised productivity at scale, powered by breakthroughs in underlying technologies such as large language models (LLMs), aiding state-of-the-art applications to reason with ...

Imagine trying to navigate an unfamiliar city with a broken compass. The needle appears steady and reliable, instilling confidence in each turn you take. But unbeknownst to you, every step leads you ...

Agencies across the government, including in the White House, are planning for, procuring, building, or attempting to scale impact and improve performance through integrating data and using data ...

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 ...

As the U.S. military adds more data-based systems, it only makes sense that there would be a group to coordinate that data.

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 ...