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CarGurus’ Sumita Palanisamy on Building Team Structure for AI Success
In this episode of A Tale of Two AIs, Razi Raziuddin sits down with Sumita Palanisamy, Director of Engineering at CarGurus, for an engaging conversation about the intersection of Generative AI and Predictive AI, and the keys to building successful AI applications in a fast-paced industry.
Sumita shares insights on:
Bridging the gap between engineering and data science teams
The importance of foundational AI knowledge for engineers
Using software engineering talent to do Predictive AI projects
Balancing the unique challenges of Generative and Predictive AI projects
The importance of cross-functional collaboration for AI projects
Best practices for model versioning and workflow alignment
If you’re curious about how AI leaders are navigating technical, organizational, and cultural challenges to drive innovation, this episode is packed with valuable lessons and actionable takeaways.
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By FeatureByteIn this episode of A Tale of Two AIs, Razi Raziuddin sits down with Sumita Palanisamy, Director of Engineering at CarGurus, for an engaging conversation about the intersection of Generative AI and Predictive AI, and the keys to building successful AI applications in a fast-paced industry.
Sumita shares insights on:
Bridging the gap between engineering and data science teams
The importance of foundational AI knowledge for engineers
Using software engineering talent to do Predictive AI projects
Balancing the unique challenges of Generative and Predictive AI projects
The importance of cross-functional collaboration for AI projects
Best practices for model versioning and workflow alignment
If you’re curious about how AI leaders are navigating technical, organizational, and cultural challenges to drive innovation, this episode is packed with valuable lessons and actionable takeaways.