MLOps - Scoping

yozzum·2025년 1월 26일
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MLOps

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7/19

[What is scoping?]

  • Example: Ecommerce retailer looking to increase sales
    • Better recommender system
    • Better search
    • Improve catalog data
    • Inventory management
    • Price optimization
  • Questions
    • What project should we work on?
    • What are the metrics for success?
    • What are the resources (data, time, people) needed?

[Scoping process]

  • Brainstorm business problems
    • Increase conversion
    • Reduce inventory
    • Increase margin (profit per item)
  • Brainstorm AI Solutions
  • Asess the feasibility and value of potential solutions
  • Determine milestones
  • Budget for resources

[Diligence on feasibility and value]

  • Feasibility: Is this project technically feasible?
    • Use external benchmark (literature, other company, competitor)

  • Do we have features that are predictive?
    • Given past purchases, predict future purchases.(O)
    • Given weather, predict shopping mall foot traffic.(O)
    • Given DNA info, predict heart disease.(?)
    • Given social media chatter, predict demand for a clothing style.(?)
  • Given history of a stock's price, predict future price of that stock(X)

[Diligence on value]

  • Important to have technical and business teams try to agree on metrics that both are comfortable with.

  • Ethical considerations
    • Is this project creating net positive societal value?
    • Is this project reasonably fair and free from bias?
    • Have any ethical concerns been openly aired and debated?

[Milestones and resourcing]

  • Key specifications
    • ML metrics (accuracy, precision/recall, etc)
    • Software metrics (latency, throughput, etc. given compute resources)
    • Business metrics (revenue, etc)
    • Resources needed (data, personanel, help from other teams)
    • Timeline
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yozzum

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