John Brown
Member
Brazilian enterprises are increasingly embracing GenAI-driven cloud migration through AWS and its ecosystem partners, rapidly application modernization and data architecture transformation across the country.
According to the Information Services Group (ISG) Provider Lens® AWS Ecosystem Partners report for Brazil, companies are expanding their use of AWS services such as Amazon Bedrock, Amazon Q and Amazon Nova to enhance productivity, automation and innovation in cloud-native environments.
What the Trend Entails
- Instead of simple lift-and-shift migrations, many Brazilian firms are rebuilding applications using microservices, modern databases and DevOps practices accelerated by GenAI tools that automate code refactoring, documentation and developer productivity.
- Data transformation is emerging as a key component of GenAI adoption. Organizations are creating modern data foundations, data lakes, pipelines and governance frameworks to support GenAI use cases like workflow automation, predictive analytics and customer engagement.
- Vertical-industry Cloud-as-a-Service solutions based on AWS are gaining traction in Brazil. Local service providers with preconfigured accelerators and domain expertise are helping companies launch more quickly and with regulatory alignment.
Why This Matters for Brazil and Cloud Strategy
- For Brazilian enterprises, the combination of GenAI and cloud migration offers both cost savings and speed of innovation: modernizing legacy systems frees up resources and enables new digital business models.
- In Latin America, Brazil's size and tech ecosystem position it as a bellwether for how GenAI-cloud strategies scale in emerging markets demonstrates how global cloud vendors and local partners must collaborate.
- For AWS, the acceleration of GenAI-motivated cloud modernization in Brazil strengthens its leadership in the cloud ecosystem, especially as enterprises seek platforms to support AI at scale.
Considerations for Organizations
- Data readiness is critical: To harness GenAI effectively, companies must ensure quality of data, integration of workflows and clear governance policies. The report highlights that data modernization is still a barrier to full-scale GenAI deployment.
- Skills and operating model shifts are required: Using GenAI and cloud jointly demands new workflows, DevOps practices, and collaboration between business, data and IT teams.
- Regulatory and localization factors matter: Brazil has specific regulatory, data-sovereignty and compliance requirements organizations must ensure cloud and AI strategies align with local rules and partner ecosystems.
- Start smart and scale progressively: Many companies are moving from experimentation to scale. Using early-stage use cases to prove value, then building the infrastructure and operating model for wider rollout, is advised.
Read related news - https://ittech-news.com/nebius-token-factory-launched-for-scalable-ai-inference/