Agile Applied AI Research with Parvez Ahammad - #492
Analysis
This podcast episode from Practical AI features Parvez Ahammad, head of data science applied research at LinkedIn. The discussion covers various aspects of organizing and managing data science teams, including long-term project management, identifying cross-functional product opportunities, methodologies for identifying unintended consequences in experimentation, and navigating the relationship between research and applied ML teams. The episode also touches upon differential privacy and the open-source GreyKite library for forecasting. The focus is on practical applications and organizational strategies within a large tech company.
Key Takeaways
- •Focus on organizational strategies for data science teams.
- •Discussion of practical applications of AI research within a company.
- •Mention of open-source tools like GreyKite for forecasting.
Reference
“Parvez shares his interesting take on organizing principles for his organization...”