Using AI To Reduce The Cost & Complexity Of Cloud Change скачать в хорошем качестве

Using AI To Reduce The Cost & Complexity Of Cloud Change

Cloud change often sounds bigger, riskier and more expensive than it needs to be. AI is changing that though… quietly, practically, and without requiring huge programmes of work. In this session, we’ll explore how organisations are using AI to make cloud migration simpler, safer and more affordable, even with limited budgets and small teams. What We’ll Cover: How AI Is Changing Cloud Migrations AI isn’t just about chatbots and copilot agents anymore. It’s increasingly being used behind the scenes to: Analyse applications and systems Reduce manual effort during cloud changes Lower operational risk Improve consistency and reliability We’ll be explaining what this looks like in practice, without getting technical. Why Cloud Migrations Are So Often More Difficult Than They Need To Be Most cloud projects don’t struggle because of technology. They struggle because systems are tightly connected in ways no one fully documented. Because releases rely on fragile, manual steps. Because the fear of downtime makes every change feel high-stakes. We’ll talk through the most common reasons cloud work slows down or stalls, and where AI can genuinely help reduce that friction. Where AI Actually Helps (And Where It Doesn’t) AI isn’t just about chatbots and Copilot prompts anymore. Increasingly, it’s being used behind the scenes to support cloud change in very practical ways. That includes analysing applications before anything moves, reducing manual effort during change, lowering operational risk and improving consistency across environments. We’ll explain what this looks like in real terms, without diving into technical detail, and we’ll be honest about where AI doesn’t help, and where human judgement still matters. Rethinking ‘Migration’ Not every organisation needs a big migration project. In fact, most probably don’t. We’ll explore how to think about cloud change as gradual improvement rather than disruption. As cost control, not just modernisation. And as a way to prepare for future AI use, without feeling pressure to rush into anything. Key Takeaways A clearer understanding of how AI can reduce cloud cost and complexity A simple way to assess whether change is worth it for your organisation Practical questions you can ask suppliers and internal teams A calmer, more realistic view of what “AI-ready” actually means