Big Data Engineer vs Data Scientist - Roksolana Diachuk

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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