Expert insights and bold perspectives on cloud technology, digital transformation, and industry trends.
← View all opinionsIt's important to note that digital detox and meditation are not a one-time solution but an ongoing practice. IT workers should make it a habit to unplug and meditate regularly to maintain their physical and mental well-being.
synthetic data can be used in various ways in AI and machine learning, from data augmentation and anonymisation to testing and scenario simulation.
Part of the reason why digital transformation projects often fail to deliver is a tendency to disconnect strategy from implementation.
In light of this unpredictable and alarming economic situation, businesses are having to reevaluate the way they operate.
Video is an excellent choice for many concepts and educational opportunities, but that doesn’t mean they’re perfect for every situation.
It’s clear cloud adoption isn’t slowing down any time soon. Gartner® says end-user spending on cloud services has grown by a further 20% in 2022 to almost U.S. 500 billion.
In an increasingly hybrid world, you need a provider that can help you shift your workloads from on-prem to the cloud in a way that works for your specific needs.
Digital twins are computer models of the real business world. They help asset owners understand the details of what is happening, in real-time as well as retrospectively.
To address this situation, companies can choose to store data in a more sustainable way, with a company that focuses on renewable sources of energy, sustainable practices and technology that has a proven energy consumption of around 40% less than a legacy data centre.
This is a huge step for online retailers who, over the past decade, have had to split their applications into microservices, distributing their content across a cloud infrastructure from a range of third-party providers.
As organisations’ supply chains grow and become more digital, threat actors are increasingly targeting third parties to gain access to the enterprise network.
Big bang migrations, in which all traffic is cutover to a new system when it is sufficiently close to feature-parity with the legacy system, are inherently risky and almost always delayed.