AI Lake Accelerator (AILA)

AI Lake Accelerator (AILA) solves common data platform challenges—slow time-to-value, compliance risk, data quality, and operational overhead—with a modular, AWS-native data and AI lake framework. It enables declarative, secure, scalable, and reproducible deployments of domain-driven data lakes and AI pipelines using Terraform configurations, PySpark transformation libraries, and GitLab CI/CD templates. AILA supports medallion architecture, serverless orchestration, automated quality checks, prompt-based workflows, lineage tracking, metadata capture, and declarative QBusiness and Bedrock applications. Built-in DataDog dashboards, managed QuickSight integration, monitoring (CloudWatch, S3 Lens), encryption (KMS), and governance (Lake Formation) follow AWS best practices. With extensible infrastructure, no licensing fees, and pay-per-use economics, AILA delivers a future-proof foundation for AI and data platforms—without product lock-in.