A brief summary of the project based on initial research and stakeholder meetings. To the best of your abilities, explain at a high level the stakeholders’ desired outcome for the project as well as the potential business value or impact this project will have if successfully completed.
- Situation and current issues
- Key Questions
- Hypothesis: Overview of how it could be done
- Impact
In as direct terms as possible, provide the “Data Science” problem statement version of the overview. Think of this as translating the above into a more technical definition to execute on.
Provide a bulleted list of the concrete deliverables and artifacts that, when complete, define the completion of the project.
- Deliverable 1
- Deliverable 2
C. Provide a solution in terms of human actions to confirm if the task is within the scope of automation through AI.
To assist in outlining the steps needed to achieve our final goal, outline the AI-less process that we are trying to automate with Machine Learning. Provide as much detail as possible.
AI Ops Projects should have an operationalized end point in mind from the onset. Briefly describe how you see the tool produced by this project being used by the end user beyond a jupyter notebook or POC. If possible, be specific and call out the relevant technologies (especially if they are aligned with leveraging existing elements of ODH)
Keep track of ongoing meetings below.
- Item 1
- Item 2