Skip to content

Conclusion & Next Steps

In this session, we've moved beyond the hype of AI capabilities to the practical reality of business due diligence. You've learned that a model card is not just a technical document, but a critical tool for risk management, strategic planning, and competitive intelligence. We've established a robust framework—balancing Performance, Cost, and Risk—to guide your evaluation of any AI model and turn a complex technical analysis into a defensible business decision.

The core skill you've developed here is a form of healthy skepticism. It's the ability to ask critical questions, demand evidence, and read between the lines of a vendor's claims. This is one of the most valuable and durable skills you can possess as a leader in a world increasingly shaped by AI.

Now that you have the tools to critically evaluate a potential solution, our next step is to master the art of defining the problem. A perfectly chosen AI model is only as good as the business problem it is aimed at. In our next session, "Problem Framing & Translating Business Needs to User Stories," we will focus on how to identify high-value business opportunities and translate them into clear, actionable requirements that can guide the development of a successful AI product. We've learned how to choose the right tool; now, we'll learn how to draw the right blueprint.

References

  1. Model Cards Explained
  2. Model Cards for Model Reporting
  3. GPT-5 System Card
  4. Google's model cards
  5. System Card: Claude Opus 4 & Claude Sonnet 4
  6. The Claude 3 Model Family: Opus, Sonnet, Haiku
  7. Model Cards & Prompt formats: Llama 4