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