Machine Learning/AI - Discovery Analysis & Assessment

Red Oak Strategic’s ML/AI Discovery Analysis & Assessment transforms complexity into actionable intelligence through a structured framework built on Amazon SageMaker, AWS Glue, and Amazon Bedrock.

Our AWS-certified Machine Learning and Data Analytics Specialists guide your team through identifying key business challenges that can be solved through applied AI and ML, building a phased roadmap that balances innovation with cost and compliance.

Core Objectives of the Engagement:

• Data Readiness Assessment: Evaluate current data architecture for ML compatibility, including ETL pipelines, data cataloging, and governance (AWS Glue, Lake Formation).

• Use Case Identification: Partner with stakeholders to define 3–5 high-value ML or GenAI opportunities aligned to measurable business goals.

• Architecture Recommendations: Design an AWS-native ML environment leveraging SageMaker, Comprehend, and Bedrock for scalable model training and inference.

• ROI & Feasibility Analysis: Establish cost-to-value projections for prioritized initiatives and potential MAP (Migration Acceleration Program) funding eligibility.

• Implementation Roadmap: Define step-by-step next actions including data labeling, model development, deployment pipelines, and monitoring setup.

The result: an actionable, AWS-aligned ML strategy designed for impact, technical scalability, and long-term AI maturity.