Resources

Tech leaders aren’t settling for off-the-shelf AI—they’re deploying customized LLMs to unlock deeper insights, automate complex tasks, and drive smarter decisions. By training models on their own data, they gain accuracy, security, and a competitive edge that generic AI simply can’t deliver.

There’s a lot of buzz around AI, and for good reason—it has the potential to dramatically improve how capital-intensive projects are managed. But if you’re not fluent in AI terminology, it’s tough to make informed decisions about where and how to apply it in your business. This guide breaks down key AI concepts in straightforward terms, helping project executives understand what they mean, why they matter, and how they can impact your projects.

AI is everywhere, but without the right data infrastructure, it’s just hype. If your data isn’t clean, connected, and unified, AI won’t deliver real value—it’ll drain time, budget, and credibility. Use LoadSpring’s 25-point Data Readiness Checklist to help you assess your data for AI readiness.