We talked about:
- Ben’s Background
- Building solutions for customers
- Why projects don’t make it to production
- Why do people choose overcomplicated solutions?
- The dangers of isolating data science from the business unit
- The importance of being able to explain things
- Maximizing chances of making into production
- The IKEA effect
- Risks of implementing novel algorithms
- If it can be done simply – do that first
- Don’t become the guinea pig for someone’s white paper
- The importance of stat skills and coding skills
- Structuring an agile team for ML work
- Timeboxing research
- Mentoring
- Ben’s book
- ‘Uncool techniques’ at AI-First companies
- Should managers learn data science?
- Do data scientists need to specialize to be successful?
Links:
- Ben's book: https://www.manning.com/books/machine-learning-engineering-in-action (get 35% off with code "ctwsummer21")
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Our events: https://datatalks.club/events.html