The first pillar to rely on for this journey is the cloud. Considered the foundation for innovation, it provides a flexible and scalable infrastructure. It also prepares the ground for leveraging advanced AI services. At the same time, it enables more agile management of operations.
The state of cloud technology
To support this trend, cloud technology is evolving towards higher levels of automation, resilience, and adaptability. This is supported by the adoption of hybrid, multi-cloud, and edge-computing architectures, along with the ability to run workloads wherever it’s most convenient («run anywhere»).
For example, we’re seeing advancements like the combination of AIOps (a portmanteau of «AI» and «operations») with Large Language Models (LLMs). AIOps automatically detects incidents, correlates events from multiple sources, automates responses, and prevents outages. Integrated into an LLM, it becomes the key component for predictive maintenance and self-healing systems.
Furthermore, serverless computing is expanding with specialized functions designed for AI workloads. The use of PaaS (Platform as a Service) simplifies application development and management, allowing companies to focus on value creation rather than infrastructure management.
AI-powered transformation and cloud: Other technological advancements
These are other cloud technology advancements that support AI-powered transformation:
- Cloud-native security is strengthened with Cloud Workload Protection Platforms (CWPP) that analyze and mitigate risks in real time.
- The availability of local zones offered by the hyperscalers optimizes latency and helps comply with local regulations.
- Kubernetes is consolidating as a fundamental tool for the orchestration of containers. It facilitates automatic scalability and high availability for distributed applications.
- Proactive observability, through tools like Prometheus, Grafana, and Datadog, ensures the smooth operation of cloud infrastructure.
Key benefits the cloud brings to AI-powered transformation
The «cloud pillar» in an AI-powered transformation strategy lays a solid foundation for the adoption of that technology. This is thanks to its ability to enable agility, scalability, and operational efficiency. At the same time, it ensures regulatory compliance with workload management in specific locations. Furthermore, it optimizes resources and reduces costs through intelligent automation.
Among the benefits it provides are:
- Flexibility and scalability in the face of market changes.
- Efficient storage and access to advanced services.
- High availability and automatic resource adjustment.
- Cost reduction through efficient use of resources and automation.
- Low latency and regulatory compliance with the use of local nodes.
- Operational agility to implement solutions quickly.
The importance of a strategic partner
AI-powered digital transformation goes beyond automating tasks. It involves rethinking business processes, driving data-driven decision-making, and developing intelligent applications that enhance organizational agility.
To accompany organizations on this journey, Nubiral has developed a structured approach based on six pillars, the first of which is, precisely, the cloud.
From initial assessment to continuous optimization, we guide companies through every stage of the process.
The journey to consolidate the «cloud» pillar
The process begins with a comprehensive analysis and evaluation of current workloads (as-is) and those requiring modernization. Based on this diagnosis, a migration roadmap is defined, including a modernization strategy aligned with the business objectives.
Next, a secure and governed landing zone is built, serving as the foundation for deploying cloud infrastructure with best practices from the start. Implementation initially follows an MVP (Minimum Viable Product) approach, which allows for the validation of both infrastructure and critical processes.
Once key components are validated, the full rollout is executed, including rigorous performance, security, and scalability tests. In parallel, hybrid and multi-cloud architectures are implemented, as required by the client’s operating environment.
As part of the modernization process, the adoption of technologies like Kubernetes and serverless services is promoted, enabling a more agile, resilient, and efficient operation. Additionally, a cost optimization strategy is applied through FinOps practices and AI-assisted automation tools.
Finally, continuous training is provided to internal teams to ensure technology appropriation and foster a culture of sustained improvement and innovation.
Conclusions
The cloud pillar is the first stop on the strategic journey toward AI-powered transformation.
But the journey is just beginning: with the cloud as the base, data as fuel, and AI as the engine, organizations will be ready to lead in the new digital era.
Is your organization ready to begin the journey towards true transformation? Our experts are waiting to hear from you. Schedule your meeting!