ML Problem Framing

I. Introduction

A. Background information on the organization/industry

B. Explanation of the problem or challenge being faced.

C. Purpose of framing the problem and exploring AI/ML solutions

II. Problem Definition

A. Clearly define the problem statement.

B. Identify the key stakeholders affected by the problem.

C. Describe the impact of the problem on the organization/industry.

III. Data Assessment

A. Identify the available data sources related to the problem.

B. Assess the quality, completeness, and reliability of the data.

C. Determine if there are any data gaps or limitations that could impact AI/ML solutions.

IV. Goal Identification

A. Determine the desired outcomes or goals to address the problem.

B. Define measurable metrics to evaluate the success of AI/ML solutions.

C. Consider both short-term and long-term goals for implementation.

V. AI/ML Suitability Assessment

A. Analyze the problem characteristics to determine if AI/ML is applicable.

B. Consider the complexity, repetitiveness, or pattern recognition aspects of the problem.

C. Evaluate if AI/ML can provide benefits such as automation, optimization, or prediction.

VI. Cost-Benefit Analysis

A. Assess the potential costs associated with implementing AI/ML solutions.

B. Evaluate the benefits AI/ML could bring to the organization/industry.

C. Consider the return on investment (ROI) and the time frame for realizing benefits.

VII. Risks and Limitations

A. Identify potential risks, limitations, or ethical concerns related to AI/ML

B. Address issues such as bias, data privacy, or unintended consequences

C. Determine if there are any legal or regulatory implications to consider.

VIII. Alternative Solutions

A. Explore non-AI/ML approaches to solving the problem.

B. Compare the benefits and drawbacks of alternative solutions.

C. Assess if AI/ML provides unique advantages over other methods.

IX. Conclusion

A. Summarize the findings from the problem-framing exercise.

B. Provide a recommendation on whether AI/ML would provide value.

C. Suggest next steps for further exploration or implementation of AI/ML solutions.