Sold by: Sagebrush Global
AI Data Needs Evaluation & Planning helps organizations align their artificial intelligence goals with AWS Cloud adoption. Our experts assess project objectives, identify the data required, and design supporting AWS architectures—covering data sourcing, licensing, and compliance—so customers can accelerate AI initiatives on AWS services such as Amazon SageMaker, Amazon Bedrock, and AWS Marketplace data products.
Overview
AI Data Needs Evaluation & Planning is a professional services offering designed to help enterprises accelerate artificial intelligence adoption on the AWS Cloud.
Our structured process begins by clarifying your AI goals: required model accuracy, scope, user groups, potential adversarial scenarios, compliance obligations, and risk tolerance. This step ensures your project is framed in terms of AWS service capabilities, including Amazon SageMaker for training, Amazon Bedrock for foundation model integration, and data management on S3 and AWS Lake Formation.
Next, we analyze the specific data needed to achieve those goals and evaluate availability through AWS Marketplace datasets, existing internal data, or external sources. We provide guidance on access, licensing, and cross-border regulatory compliance—ensuring your data strategy is ready for use within AWS environments.
We then assess the technical architecture required to execute your plan, mapping recommended AWS services such as EC2 GPU instances for training, SageMaker pipelines for model lifecycle management, and scalable endpoints for production deployment.
Finally, for customers who desire end-to-end support, we offer optional services to help collect, prepare, and optimize datasets for ingestion into AWS AI/ML services.
By directly aligning your AI objectives with AWS Cloud services and Marketplace data, this offering ensures you have a clear, compliant, and scalable path to delivering value from AI on AWS.
Highlights
- End-to-end evaluation of your AI goals to determine performance, scope, risks, and compliance requirements—ensuring your data strategy directly supports business outcomes.
- Expert analysis of data needs, availability, and licensing, including cross-border access considerations, delivered by professionals with hands-on AI product development experience.
- Comprehensive architecture guidance (software and hardware) with optional support for data collection, preparation, and delivery to accelerate machine learning initiatives.
Details
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Pricing
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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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