In today's enterprise tech landscape, success comes down to whether your organization is predicting the future or constantly reacting to it. Platform engineering is the difference maker. It empowers 'Fortune Tellers' to build scalable, secure and adaptive environments while others remain stuck in a cycle of reactive spending and rising technical debt.

Edge networking prioritizes managing data at the network edge. This network architecture reduces latency, enhances operational efficiency and enables real-time AI processing.

As a former network and storage systems administrator, it's been amazing to watch the cloud abstract away the complexity of infrastructure. Managed services today allow enterprises to scale systems without needing to get nearly as deep into the low-level plumbing of networking, storage, and data systems as they once had to.

By blending the time-tested 3-2-1 rule with modern advances, organizations can build a highly resilient backup architecture that strengthens their overall cybersecurity posture.

Here are four strategies for implementing AI into your enterprise IT service management approach.

Sales of HDDs to non-hyperscale outfits increasingly rare, say analysts

The journey to mass production has been extraordinarily difficult - will it be worth it?

Around the end of last year, right after SC24 in Atlanta, GA, I realized that 2025 will arrive fast, representing the first 25 years of the century, a pretty unique moment. I asked myself about the technologies that impacted our industry the most and I decided to add this simple question to our survey as question #0.

According to the '2025 AI Skills Report' by Pluralsight, 65% of organizations had to abandon AI projects due to a lack of AI skills. Don't be another statistic; invest in your staff.

ChatGPT Projects let you organize chats, files, and other content into topic-specific smart workspaces - if you're a Plus, Pro, or Team subscriber.

IT operations are undergoing rapid transformation driven by the growing complexity of hybrid environments, rising performance demands, and evolving cyber risks.

Gartner predicts that retrieval-augmented generation will play a pivotal role in mitigating issues with developing and deploying GenAI business apps.

Many companies rush into artificial intelligence expecting transformation, but leaders should focus on using AI to accelerate solutions to specific friction points.

Organizations must adopt a strategy that applies customer advisory frameworks internally and externally to build trust in AI.

The two related technologies can work together, but CIOs should understand the difference to protect against vendor hype and obfuscation.

Generative AI means computers just keep getting smarter, and now the APIs are starting to catch up.

You're no doubt familiar with shadow IT - the practice of employees using software, applications and other tech tools that aren't sanctioned by IT. And if IT doesn't know about something, they can't regulate it or defend against it.

Time to stop giving cold storage the cold shoulder