I Want to Build a Machine Learning Startup! - Elena Samuylova
We talked about:
00:00 DataTalks.Club intro
03:22 Elena’s background
05:18 Why do a startup instead of being an employee?
07:23 Where to get ideas for your startup
11:44 Finding a co-founder
16:55 What should you consider before starting a startup?
21:34 Vertical startup vs infrastructure startup
23:10 ‘AI First’ startups
24:33 Building tools for engineers
26:21 What skills do you need to start a startup?
28:17 Startup risks
31:50 How to be prepared to fail
32:47 Work-life balance
34:06 The part-time startup approach
35:47 Startup investment models
38:08 No resources and no technical expertise – what to do?
39:25 Productionizing your services
40:13 When to hire an expert
42:15 Talking to people with a problem before solving the problem
43:59 Starting Elena’s startup, Evidently
46:32 Elena’s role at Evidently
48:11 Why is Evidently open source?
49:29 “People will just copy my open source code. Should I be concerned?”
51:48 Bottom-up adoption
53:09 Creating value so that clients engage with your product
53:57 Is there a difference between countries when creating a startup?
56:17 Does open source mean the data is safer?
57:06 When should you hire engineers?
58:14 Following the market
59:32 Startups out of genuine interest vs Just for money and for fun
Links:
EvidentlyAI: https://evidentlyai.com/
Elena's LinkedIn: / elenasamuylova
Elena's Twitter: / elenasamuylova
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