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    Geopits AWS GenAI-Ready Data Platform Assessment

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    Geopits AWS GenAI-Ready Data Platform Assessment helps enterprises evaluate whether their data platforms are ready to support analytics, AI, and Generative AI use cases on AWS. The assessment covers data sources, data quality, governance, security, lakehouse readiness, integration patterns, and modernization roadmap for building an AI-ready data foundation.

    Overview

    Geopits AWS GenAI-Ready Data Platform Assessment helps organizations understand the maturity of their current data landscape and identify the gaps that may impact analytics, AI, and Generative AI adoption on AWS. This assessment reviews existing databases, data warehouses, data lakes, ETL/ELT pipelines, reporting platforms, data quality processes, governance controls, security practices, and data consumption patterns to determine readiness for AI-driven business use cases.

    Geopits provides a structured assessment covering source system discovery, data availability, data quality, metadata readiness, data governance, access control, integration architecture, lakehouse readiness, analytics maturity, and AI consumption readiness. The outcome includes a current-state assessment, gap analysis, target-state recommendations, prioritized modernization roadmap, and high-level implementation approach for building a scalable, secure, and reliable AI-ready data platform.

    This professional services offering relates to AWS services including Amazon S3, AWS Glue, Amazon Athena, Amazon Redshift, Amazon QuickSight, AWS Lake Formation, AWS Database Migration Service, Amazon RDS, Amazon Aurora, Amazon OpenSearch Service, Amazon SageMaker, Amazon Bedrock, AWS Lambda, Amazon CloudWatch, AWS Identity and Access Management, and AWS Key Management Service. GeoPITS helps customers prepare their enterprise data foundation for GenAI use cases by improving data quality, governance, accessibility, security, and platform scalability on AWS.

    Highlights

    • GenAI-ready data platform assessment covering data sources, data quality, governance, security, lakehouse readiness, and AI consumption readiness.
    • Structured gap analysis and modernization roadmap to help customers build a scalable, secure, and analytics-ready data foundation on AWS.
    • Assessment aligned to AWS data and AI services including Amazon S3, AWS Glue, Amazon Redshift, Amazon SageMaker, Amazon Bedrock, and AWS Lake Formation.

    Details

    Delivery method

    Deployed on AWS
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    Pricing

    Custom pricing options

    Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

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    Support

    Vendor support

    Support contact: sales@geopits.com  Phone: +91-9600153444 Website: https://www.geopits.com/ai-and-machine-learning-services 

    Geopits provides support through email, phone, and scheduled assessment review meetings. Buyers can expect support from data architects, database specialists, data engineering consultants, and AWS solution architects during the assessment engagement.

    Support includes discovery discussions, data platform review, architecture assessment, data quality and governance review, AI-readiness evaluation, gap analysis, recommendation walkthrough, and roadmap presentation. The exact scope, timelines, stakeholder meetings, deliverables, response expectations, and support hours will be finalized as part of the agreed private offer or statement of work.