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Delphina AI

  • AI Startup that is trying to build a DS [[AI Agent]]
  • The DS Agent should act as a junior DS

My thoughts

  • The product should improve the efficiency of a DS at a company
  • The product should replace something boring and repetitive for a DS
  • What kind of activities slows down a DS?
    • Prototyping
      • Framing of the question
      • Cleaning, transforming and understanding the available data
      • Prompting the DS for data that could be useful (externally)
      • Integrate the data of various geography and time
      • Able to identify pitfalls of the model created
      • Able to use the framing of the question to identify relevant error metrics
      • Translate error metrics to user experience/business KPIs
    • Productionization
      • Able to integrate with model deployment systems
      • Able to integrate with datalakes/data systems

Question for Duncan

  • Is Delphina trying to replace the DS team or make them efficient because that is going to be a hard line to tow
  • Should they be selling to companies/industries without DS teams but want to make data based decisions
  • What kind of problem can Delphina 100% do and replace, help with and not even try to touch?

Process

  • Call with cofounder - Duncan
  • Technical call with Pedro, given a problem, talk through the tooling/libraries
  • Onsite few hours with Delphina demo, interview with Duncan again and ML/whiteboarding session to show thought process