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The AI in Business Podcast
The Benefits of AI-Enhanced Developer Workflows - with Jason Wells of Pattern
Nov 16, 2023
20:14
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Jason Wells, CTO at Pattern, talks about integrating data science into dev team workflows, the importance of collaboration and continual development, data scientists' access and freedom in AI-enhanced development, and hiring passionate problem solvers.
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Quick takeaways
- Treating data scientists like regular software developers hinders productivity, so companies should individualize system development for teams and elevate passionate problem solvers.
- Balancing the strengths of data science talent with their career aspirations is crucial, and segmenting data scientists from typical development teams helps in focusing on product requirements and continuous improvement of models.
Deep dives
Building Well-Rounded Data Science and Development Teams
Building well-rounded product and development teams that involve data science requires avoiding common mistakes and implementing best practices. One mistake many organizations make is treating data scientists like regular software developers, which hinders productivity. To overcome this, companies should individualize system development for teams and elevate team members who are passionate problem solvers. It is crucial to support data scientists on both the data science and software development sides, enabling them to work seamlessly and provide value to the business.
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Discover
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Listen to the best highlights from the podcasts you love and dive into the full episode