Evaluating AI/ML platforms is complex—vendors blur the lines between categories, pricing models lack transparency, and stakeholders prioritize different needs.

The AI/ML Tool Evaluation Package simplifies the process with structured templates that help teams define requirements, compare tools, and run a successful proof of concept (POC).

What’s Inside the Package?

• Interview Summary Template – Captures insights from key stakeholders, documenting their priorities, pain points, and expected use cases. This ensures that business and technical needs are clearly defined before evaluating potential solutions.
• AutoML Criteria & Tool Survey Template – Helps teams establish a structured set of evaluation criteria, compare AI/ML tools based on key capabilities, and systematically narrow down vendor options to those that align with organizational objectives.
• AutoML Scorecard Template – Provides a structured framework for scoring vendor demonstrations, ensuring an objective, data-driven comparison of features, automation capabilities, model transparency, and integration support.
• AutoML Tool POC Evaluation Form – Guides teams through a proof-of-concept (POC) assessment, allowing hands-on validation of platform performance, usability, and real-world applicability before making a final commitment.

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