As organizations scale rapidly and expand their digital footprint, they need to unify cloud and on-premises infrastructure into a flexible, high-performance architecture. A hybrid cloud strategy ...

The energy industry is undergoing a significant transformation, driven by advancements in digital technology and the ever-growing need for real-time data analytics. As energy companies look to ...

Cloud-first approaches need to be rethought. AI contributes to escalating cloud costs. A hybrid model assures the best of both worlds. A decade or so ago, the debate between cloud and on-premises ...

Most organizations will continue to run GenAI applications in the cloud, but there is pent-up demand to move some of these workloads behind corporate firewalls. The implications of this interest are ...

Modern digital infrastructures, where companies run business-critical operations, are possible thanks to cloud computing. There are different types of cloud computing. They might be private or public, ...

For years, enterprises enthusiastically adopted a cloud-first approach, eager to take advantage of the flexibility and rapid innovation public cloud platforms offered. But as artificial intelligence ...

Cloud infrastructures are a highly efficient evolution of server virtualization and the scale-out deployment model-but companies should note this evolutionary path isn’t a fit for all applications.

When a U.S. retail commerce system crashed on a busy Saturday in 2019, it left registers stuck in about 1,800 stores. The cause was not a cyberattack or a power outage. Instead, it was an internal ...

Does cloud-free AI have the cutting-edge over data processing and storage on centralised, remote servers by providers like ...

Editor's take: When it comes to generative AI, the common thinking is that the critical tools necessary for businesses to build their own GenAI-based applications are virtually all cloud-based ...