Which phase tests whether AI can solve the business problem quickly?

Which phase tests whether AI can solve the business problem quickly?

• A. Data Understanding
• B. Data Preparation
• C. Model Training
• D. Minimum Viable Model (MVM)

Answer: (D)

The main idea being tested is whether you can validate that an AI solution can address the business problem in a short time and deliver value quickly. A Minimum Viable Model is a lean version of the solution built rapidly with limited data and features, designed to show a working result within tight timeframes. This phase focuses on speed-to-value and practical feasibility, giving stakeholders a concrete demonstration of whether the approach can solve the problem fast enough to matter. It also provides early feedback to guide further development and investment. Data Understanding, Data Preparation, and Model Training are essential steps, but they aim at deeper data insight, cleaner data, and a more polished model, which can take longer. They don’t inherently test whether the problem can be solved quickly in a real-world context.

The main idea being tested is whether you can validate that an AI solution can address the business problem in a short time and deliver value quickly. A Minimum Viable Model is a lean version of the solution built rapidly with limited data and features, designed to show a working result within tight timeframes. This phase focuses on speed-to-value and practical feasibility, giving stakeholders a concrete demonstration of whether the approach can solve the problem fast enough to matter. It also provides early feedback to guide further development and investment.

Data Understanding, Data Preparation, and Model Training are essential steps, but they aim at deeper data insight, cleaner data, and a more polished model, which can take longer. They don’t inherently test whether the problem can be solved quickly in a real-world context.