The technology, which enables rapid business transformation, requires a new data layer—one built for speed, scale, and ...

“The next frontier of AI is not intelligence. It’s trust.” With this sentiment, cybersecurity thought leader Kumrashan ...

In a world where digital transformation is accelerating at an unprecedented pace, AI-driven data analytics has become the cornerstone of both cybersecurity and public safety innovation. As ...

Pure Storage announced its Enterprise Data Cloud platform at its Las Vegas conference, positioning the technology as a ...

The digitalisation of the world's railways is gathering pace. But as momentum builds, so too do the challenges of adapting to an increasingly complex digital world. Many different types of information ...

Every summer, typhoons threatening the Korean Peninsula draw their energy from the warm waters of the Northwest Pacific Ocean ...

Delve into the implications of AI in architecture: a tool that redefines creativity while risking the depth and intent behind ...

U.S. demand for electricity is projected to climb more than 15% by 2030, with data centers among the primary drivers, ...

Founders: Aerospike Founder and CTO Srini Srinivasan explains why real-time data architecture is crucial for scaling AI, enhancing CX, and staying competitive in the AI-driven enterprise era.

As AI’s role in business and society continues to grow, the infrastructure that supports these workloads must adapt.