Building AI-ready data: Vanguard’s Virtual Analyst journey

📰 AWS Machine Learning

Learn how Vanguard built their Virtual Analyst solution using 8 guiding principles of AI-ready data to achieve measurable business outcomes

intermediate Published 29 Apr 2026
Action Steps
  1. Identify the 8 guiding principles of AI-ready data
  2. Assess current data infrastructure using AWS services
  3. Design a Virtual Analyst solution tailored to business needs
  4. Implement data pipelines using AWS
  5. Configure data storage and processing for AI workloads
  6. Test and validate AI model performance
Who Needs to Know This

Data scientists and engineers on a team can benefit from this article to learn how to build AI-ready data, while product managers can understand the business outcomes of such a solution

Key Insight

💡 AI-ready data is crucial for building successful AI solutions like Virtual Analyst

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🚀 Learn how Vanguard built their Virtual Analyst solution using AI-ready data principles to drive business outcomes
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