A clear explanation of what defines an AI-native organization and how leaders redesign work, roles, and systems around AI capabilities.

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. Sit-up straight. We might imagine issuing this admonishment ...

Traditional cloud architectures are buckling under the weight of generative AI. To move from pilots to production, enterprises must adopt a 'design-first' architecture that treats intelligence as a ...

A phased guide to AI governance in cloud-native systems, aligning ISO 42001:2023 and NIST AI-RMF with lifecycle controls, ...

A case could easily be made that Kubernetes, the open-source container orchestration tool first introduced by Google LLC in 2014, was made for artificial intelligence. Support for large, complex ...

The evolution of cloud-native applications has become a topic of great significance to enterprises. The transition toward these applications, their deployment strategies and the choices organizations ...

In the fast-evolving world of cloud-native networks, modern infrastructure designs have shifted toward microservices and containerized environments. These systems are powerful, but they also introduce ...

While the rise of cloud-native architecture and applications can't be understated, the industry still needs to evolve by reducing the complexity associated with the technology's benefits, according to ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

The common term among IT decision-makers has become nebulous, prompting the need for an alignment with industry best practices.

The news headlines are full of breaches and data exposures that are the result of unsecured cloud-native applications and application programming interfaces (APIs) — how, for example, third-party data ...