AI & ML Readiness for Life Sciences

Assess AI maturity, data quality, and compliance for successful AWS AI/ML adoption.

Overview

Life sciences organizations want to leverage AI/ML for drug discovery, patient insights, and clinical trial optimization, but data complexity, compliance, and infrastructure gaps often slow adoption. This assessment evaluates AI readiness, cloud strategy, and AWS ML tooling alignment, providing a roadmap for success.

Highlights

AI Readiness Roadmap – Aligns AI use cases with business goals and AWS capabilities.
Regulatory & Data Strategy – Ensures HIPAA, GxP, and FDA 21 CFR Part 11 compliance.
AWS ML Optimization Plan – Recommends SageMaker, Bedrock, and MLOps best practices.

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