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    NexusTek AWS Data and AI Readiness Assessment

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    Sold by: NexusTek 
    Data fuels innovation, but many organizations struggle to turn data into value due to fragmented architectures, limited governance, or an unclear AI strategy. NexusTek’s AWS Data & AI Readiness Assessment provides a comprehensive evaluation of your current data estate, analytics capabilities, and AI/ML readiness—delivering a clear, actionable roadmap to adopt AWS analytics and AI services with confidence. Our AWS-certified experts use the AWS Cloud Adoption Framework (CAF) for Data & Analytics and the AWS Well-Architected Framework (Data Analytics and ML lenses) to assess your technical and organizational readiness to adopt AI, automate decision-making, and democratize insights.

    Overview

    HOW IT WORKS

    We conduct stakeholder workshops, technical discovery sessions, and platform analysis to assess: • Data Inventory & Estate Mapping: Discovery of structured/unstructured data across on-premises, AWS (S3, RDS, Redshift), and external sources • Data Architecture & Pipeline Evaluation: ETL/ELT flows using AWS Glue, Amazon MWAA, and real-time ingestion via Kinesis or MSK • Governance, Privacy & Compliance Maturity: AWS Lake Formation, AWS Glue Data Catalog, and compliance alignment with GDPR, HIPAA, and ISO • Analytics Readiness: Amazon QuickSight enablement, data modeling, and scalable reporting architecture • AI/ML Infrastructure Readiness: Amazon SageMaker, Bedrock, and custom model hosting readiness; GPU-enabled architecture assessment

    The outcome is a Data & AI Readiness Report that includes: • Executive Summary of business and technical findings • Gap analysis for data governance and compliance • Analytics enablement plan for QuickSight and Redshift • AI/ML platform and infrastructure recommendations • Prioritized roadmap for data platform modernization and AI integration

    With NexusTek’s AWS Data & AI Readiness Assessment, you can ensure your organization is prepared to responsibly harness AWS for data-driven operations and AI innovation.

    Highlights

    • Build a Trusted Data Platform and Accelerate Business Intelligence
    • Close Governance and Compliance Gaps and Prepare for Enterprise-Scale AI/ML
    • De-Risk AI Adoption and Bridge Gaps Between Business and IT

    Details

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    Delivery method

    Deployed on AWS

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    Custom pricing options

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