DataTalks.Club

I Want to Build a Machine Learning Startup! - Elena Samuylova

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We talked about:

  • Elena’s background
  • Why do a startup instead of being an employee?
  • Where to get ideas for your startup
  • Finding a co-founder
  • What should you consider before starting a startup?
  • Vertical startup vs infrastructure startup
  • ‘AI First’ startups
  • Building tools for engineers
  • What skills do you need to start a startup?
  • Startup risks
  • How to be prepared to fail
  • Work-life balance
  • The part-time startup approach
  • Startup investment models
  • No resources and no technical expertise – what to do?
  • Productionizing your services
  • When to hire an expert
  • Talking to people with a problem before solving the problem
  • Starting Elena’s startup, Evidently
  • Elena’s role at Evidently
  • Why is Evidently open source?
  • “People will just copy my open source code. Should I be concerned?”
  • Bottom-up adoption
  • Creating value so that clients engage with your product
  • Is there a difference between countries when creating a startup?
  • Does open source mean the data is safer?
  • When should you hire engineers?
  • Following the market
  • Startups out of genuine interest vs Just for money and for fun


    • Links:

    • EvidentlyAI: https://evidentlyai.com/
    • Elena's LinkedIn: https://www.linkedin.com/in/elenasamuylova/
    • Elena's Twitter: https://twitter.com/elenasamuylova/


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