32 min listen
I Want to Build a Machine Learning Startup! - Elena Samuylova
FromDataTalks.Club
ratings:
Length:
58 minutes
Released:
Jul 16, 2021
Format:
Podcast episode
Description
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/
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
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/
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
Released:
Jul 16, 2021
Format:
Podcast episode
Titles in the series (100)
Processes in a Data Science Project - Alexey Grigorev by DataTalks.Club