Scaling cloud migrations with AI: faster, smarter, more predictable

Cloud migration might seem like a dream for companies: greater flexibility, lower costs, guaranteed innovation in their processes… but in reality, they often encounter another situation: extended timelines, skyrocketing budgets, and operational risks.

This doesn’t have to happen to all companies. These issues often occur because they haven’t worked with expert software service providers who know how to manage cloud migrations. Now, with AI, the process becomes even faster and more efficient.

AI solutions make cloud migration a much quicker, smarter, and more predictable process. Keep reading this blog to learn the valuable insights we have for you.

How AI is Transforming the Cloud Migration Process

Let’s start by talking about cloud migration without AI: when the process is manual, success depends on the expertise of the technical team, which is why many companies seek support through IT Staff Augmentation.

Why? A manual cloud migration involves:

– Manual classification of workloads: analyzing each application to decide which to move first, validating the most critical data, and determining what can wait, among other things.

– The risk of errors without prior simulations; compatibility issues or performance problems may only be discovered during migration.

– Potentially, a generic plan that overlooks organizational nuances, possibly extending timelines or increasing costs.

The difference with AI-powered cloud migration:

– AI can analyze the company’s ecosystem, automate workload classification, and suggest an optimal migration order.

– An AI-based simulation can identify potential failures and help adjust the plan to prevent them.

– Each company can receive a personalized migration plan using AI solutions instead of relying on generic plans, leading to more accurate and predictable results.

Generative AI is causing significant changes in this area. An article from Microsoft Azure mentions that teams are leveraging this AI tool to “accelerate migration and modernization with greater speed and less friction.”

At the same time, this symbiosis between cloud migration and AI offers many more benefits for companies beyond migration itself. As data is migrated faster and more efficiently, organizations can leverage this available data to improve AI model training and performance, gaining more precise insights for business decisions, as discussed in a Forbes article on the topic.

3 Key Benefits of Using AI in Cloud Migration

Implementing AI in migration processes delivers tangible benefits such as:

Together, these benefits make migration a more strategic and less risky process. And if companies lack AI-expert personnel, they can consider engaging resources through IT Staff Augmentation, hiring for a project or a set period.

Practical Examples of How AI Applies to Cloud Migration

We understand that this topic can feel somewhat abstract, so here are several examples of how AI can be applied in cloud migrations:

A bank

Data migrations in banking institutions are delicate, given the handling of thousands of sensitive records. AI helps leaders identify which information requires the most protection, ensuring regulatory compliance and reducing the risk of data breaches.

A retail company

Through AI solutions, companies can determine the best order of migration to avoid interruptions in online sales.

A tech startup

Using automatic recommendations, it can scale quickly by choosing the most efficient cloud infrastructure without needing a large internal IT team.

These examples demonstrate how AI enables companies of various sizes and sectors to benefit from the cloud without facing long downtimes.

Conclusion

Migrating to the cloud used to be a challenge filled with uncertainty. Today, thanks to artificial intelligence, organizations can do it faster, smarter, and more predictably.

AI turns what was once a headache into a competitive advantage: saving time, minimizing risks, and making clearer decisions. In a world where cloud computing is synonymous with agility and innovation, relying on AI to get there isn’t just advisable — it’s strategic.

Scroll to Top