Comprehensive AI Assessment on AWS

Drive AI Success on AWS Through In-Depth Evaluation

Get Your AI PoC Into Production on AWS

In today’s competitive landscape, many enterprises struggle with stalled AI proof-of-concept projects that fail to scale or succeed, often due to hidden pitfalls and misaligned strategies. phData’s AI Evaluation for AWS addresses these challenges head-on by taking a holistic approach that scrutinizes every aspect of your AI initiative, from data quality to agentic planning and business alignment. 

Purpose Built for AI Workloads on AWS

Our holistic approach evaluates your AI initiative across all dimensions — including data quality, agentic planning, and business alignment — while specifically focusing on how your solution leverages key AWS services such as:

  • Amazon SageMaker for training, deployment, and MLOps

  • Amazon Bedrock and Amazon Nova models for GenAI use cases

  • AWS Lambda, Step Functions, and EventBridge for orchestration

  • Amazon S3 Tables and Data Lake Architetures for data foundations

  • Amazon CloudWatch, AWS Config, and Security Hub for monitoring and security

This comprehensive assessment accelerates your AI proof-of-concept into a production-grade solution systematically:

How It Works: A 103-Point Roadmap to Excellence

Our evaluation process begins with an in-depth review of your current AI project, focusing on both technical performance and strategic alignment all through the lens of AWS architecture principles. We systematically assess key components such as context, monitoring, safety, and security. With a detailed 103-point checklist, we identify potential risks and opportunities, providing you with a clear strategic roadmap that outlines prioritized recommendations and risk mitigation strategies ensuring your AI initiatives are cost-effective, scalable, and primed for enterprise success.

Reach out to phData today to learn more about evaluating your current AI projects on AWS!

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