Tag: RAG

  • Data and AI

    Discover Our Data & AI Expertise

    Modernize Your Data Stack – Move from legacy to real-time lakehouse architectures using dbt, Spark, and Airflow.

    Build & Scale AI – Develop ML models with SageMaker and Vertex AI, including edge deployment and compliance.

    Operationalize GenAI – Implement LLM copilots, RAG pipelines, and autonomous agents with secure CI/CD workflows.

    Strengthen Governance – Embed MDM, anomaly detection, and regulatory alignment (HIPAA, SOC2, GDPR).

    Run AI at Scale – Streamline MLOps with tools like Weights & Biases, Arize, and Evidently.

    See Proven Impact – 90% faster insights, 70% fewer data issues, $50M+ in savings across 40+ live GenAI use cases.

  • Ditch the Dinosaur Code: Rewriting the Legacy Layer with GenAI, AST, DFG, CFG, and RAG


    From Insight to Action: What This POV Delivers

    • A precision-first approach to legacy modernization using GenAI, ASTs, DFGs, CFGs, and RAG, enabling code transformation without full rewrites.
    • A deep-dive into how metadata-driven pipelines can unlock structural, semantic, and contextual understanding of legacy systems.
    • Technical clarity on building GenAI-assisted migration workflows, from parsing and prompt chaining to human-in-the-loop verification.
    • A clear perspective on reengineering the full SDLC lifecycle, ideation to operations, with modular, AI-native patterns.
    • A blueprint for teams looking to scale modernization with zero downtime, reduced developer effort, and continuous optimization.