Consisting of a complete set of computing, networking & storage resources, #PurposeBuiltCloud can be customized to handle specific workloads, ensuring low latency, high throughput, and greater resource utilization. Analysis:

The exponential growth in #datacenters risks straining supply chains as businesses & governments vie for resources. Discover why this likely means many businesses may be forced to reassess their strategic visions:

The massive investment in #datacenters to power AI tech comes with immense risks. For one, data centers cannot easily be repurposed if the investment backfires. Analysis: #AIinfrastructure

You've heard of AWS and Azure, but what about Digital Ocean? Check out the #cloudplatforms tech pros prefer and let us know your favorite platform.

As we dive headlong into the new AI era, leaders must prepare for the inevitable AI-driven labor market disruptions-including the new tech's potentially negative impact on employees. Important read:

How we're using 'chaos engineering' to make cloud computing less vulnerable to cyber attacks Fascinating look at how deliberately introducing faults into cloud tech and then measuring the results helps identify and address potential vulnerabilities & weaknesses in a system's design, architecture, and operational practices.

From new AI-focused roles to enhanced efficiency and work-life balance, AI's impact on the #FutureOfWork is widespread and consequential for both executives and employees.

With nearly 3 in 4 companies going over their estimated cloud budgets, #cloudoverspend is a serious problem that undermines the cloud's many transformative benefits. Here's what you can do to keep costs in check:

Believe it or not, data to train #AImodels increasingly comes from other AI models in the form of synthetic data, which translates to cost reductions, but also poses some risk. Important analysis: