iCAT partnered with Cloudar to build a scalable AWS-based forecasting platform for an energy-sector customer that needed to process historical prices, weather data, and real-time market events more accurately and efficiently. Amazon S3 centralized data, while Step Functions and Lambda automated ingestion, transformation, and validation. SageMaker trained and managed forecasting models, and Amazon Bedrock added RAG and natural-language analysis for improved context, explainability, and actionable insights. ECS with Fargate provided scalable compute, supported by IAM, CloudTrail, Config, and model-governance controls. The resulting architecture reduced data-processing time by 50%, cut operational costs by 30%, improved forecasting accuracy, and created a scalable foundation for future growth

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