14 November 2019
Combining Speed, Quality, and Corporate Culture
Sticking together and working shoulder-to-shoulder is the best strategy a FinTech company can have. We’re going to talk with Nicolas Joseph, VP of Engineering at Datalogue Inc. that uses machine learning to improve data preparation. If you believe in the power of community, sharing knowledge and keeping up studying, this podcast is for you.
Navigation
| 1:18 | About Datalogue. The start of Nicolas’ career |
| 3:55 | CTO’s role is to clear roadblocks out of the way of the others |
| 7:50 | Figuring out how to combine speed and quality |
| 10:56 | ‘Lazy road’ in testing |
| 14:24 | Keeping as cross-functional as possible |
| 19:53 | Why story points system fails |
| 27:04 | ‘Tasty’ corporate culture |
| 30:10 | The core of the Datalogue’s ML system |
| 34:40 | Tools that empower product management, communication, and engineering |
| 39:50 | For security, don’t ship your own cryptography – use pre-built modules |
| 45:15 | Leave meetings for mornings |
| 47:00 | How self-learning helps to improve processes |
| 49:19 | About backlog review sessions |
Listen the podcast
