Organizational AI maturity matters. Dedicated leadership, strong governance, and strategic use of metrics can improve results and set the foundation for long-term AI success.

Persistence pays off after three years of digital and cultural change at a tourism giant.

A new report by Salt Security found that the majority of CISOs struggle when it comes to API security, with only 17% having a fully developed strategy in place

IT as a cost center is dead. Most of today's chief information officers have been tracking 'value' for some time, but what they measure has changed.

To be truly resilient in the ever-growing threat landscape, organizations need to balance protection with preparation.

When security leaders embrace this truth and learn to speak in the language of leadership, they don't just protect the enterprise, they help lead it forward.

Picture this: Your CEO announces a major AI initiative that must launch in the upcoming quarter. Simultaneously, regulatory compliance demands immediate attention, a key acquisition requires technology integration, and your cloud migration timeline just accelerated by six months. How does your IT organization respond?

Digital asset tracking and advanced communications are helping the global shipping company leverage AI and ML at its Worldport air hub to reduce costs, improve on-time performance, enhance operational safety, and deliver a better CX.

The rise of smaller, cheaper AI models is pushing AI closer to the edge, but telcos must weigh placement and ROI carefully amid escalating infrastructure investments just to make AI networks capable.

Platform-based networking tweaks the platformization model to become a comprehensive tool set for network administrators.

Network bandwidth is a measurement indicating the maximum capacity of a wired or wireless communications link to transmit data over a network connection in a given time.

For the lack of a little documentation, two techies did a lot of accidental damage

This job was a car wreck in more than one way

AI is reshaping the enterprise resource planning (ERP) landscape, as vendors seek to harness the technology to help their customers improve operations, achieve efficiencies, and innovate.

Development teams today sprint toward deadlines, and the urge to ship fresh features can shove unnoticed bugs straight into production. The old habit of confining tests to the rear of the schedule simply can't keep pace with nightly or even weekly releases. Continuous testing strategies can help change the rhythm.

As companies embrace cloud-native application development at scale, platform engineering is emerging as a pivotal discipline to support fast-moving development teams while maintaining essential control over infrastructure, operations and security.

Data platforms are the nervous systems of modern enterprises. From powering dashboards and AI pipelines to enabling real-time decision-making, the ability to deliver, evolve and govern data services at scale is no longer a luxury; it's a business imperative.

For as long as I've been in the tech industry-and trust me, that's longer than I care to count-we've heard the same song: 'Build once, run anywhere.' It's a catchy tune, but the reality has always been a little off-key.