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    AI Enabled Common Ingestion Framework

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    Sold by: phData 
    A well-architected framework is core to the success of any AI application. phData’s Common Ingestion Framework provides repeatable templates for centralizing, cataloging, and governing structured and unstructured data for use in business-driven decisions and AI.

    Overview

    phData’s Common Ingestion Framework accelerates how customers make business-critical data available for AI applications and advanced analytics. Unstructured data is now among the most sought-after assets for training and fine-tuning LLMs and AI Applications. Lakehouse architecture enables unstructured data to exist alongside structured and semi-structured data to create a centralized storage and data access layer for all AWS Services.

    It starts with discovering what data sources exist, assigning value, organizing domains, and determining priority. Our expert AWS architects then design how common datasets will be centralized into an AWS Lakehouse, enabling interoperability across various AWS services like SageMaker Unified Studio and Amazon Athena. Our engineers deploy templated Spark-based (Glue or EMR) jobs and make the data discoverable in DataZone and Glue Catalog. Finally, CloudWatch collects and monitors overall pipeline observability and metrics.

    Data in the Lakehouse is governed and democratized to business users using AWS DataZone. DataZone provides both technical and business metadata for self-service analytics and discovery, enabling users to build AI applications and advanced analytics.

    AWS Expertise: Support from highly knowledgeable, AWS certified architects and engineers.

    Proven Development: Repeatable architecture and code to accelerate AWS LakeHouse data migrations.

    Industry Specializations: Expertise in Healthcare & Life Sciences, Financial Services, Insurance, Manufacturing, QSR, and Retail/CPG

    Deploy with Confidence: Our approach guarantees consistency, reliability, and scalable operations, enabling organizations to deploy AI models efficiently and effectively.

    24/7 Support: Our elastic operations service includes 24/7 support, ensuring continuous monitoring and robust security, which helps in reducing costs and boosting performance by increasing visibility and resolving issues promptly.

    Highlights

    • Production-grade observability, governance, and monitoring.
    • Future-proof architecture for AI workloads.
    • Design centered around self-service analytics and data collaboration.

    Details

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    Deployed on AWS

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