SE Radio 647: Praveen Gujar on Gen AI for Digital Ad Tech Platforms

AI Teams

AI integration within product development teams is reshaping organizational dynamics. Praveen Gujar explains that modern teams now include AI engineers and data scientists alongside traditional roles, fostering a more cohesive approach to product development 1. This integration enhances AI proficiency across the team, enabling engineers to better understand and utilize AI capabilities. Gujar emphasizes the importance of AI proficiency, noting, "Even if they may not be building the AI models, they are proficient in a way to train an AI model, do prompt engineering if needed as well and use the AI model in the right way."

Even if they may not be building the AI models, they are proficient in a way to train an AI model, do prompt engineering if needed as well and use the AI model in the right way.

--- Praveen Gujar

This shift towards AI-integrated teams is crucial for developing AI-first products and leveraging AI's full potential 2.

   

Model Strategies

Selecting the right AI models is critical for optimizing ad platforms. Praveen Gujar outlines the importance of considering factors like data type and computational resources when choosing models 3. For instance, large models are suited for audience segmentation, while smaller models suffice for tasks like ad copy generation. Gujar highlights the trade-offs involved, stating, "Smaller models are trained on much fewer parameters than a large language model, they take less computational capacity from a performance perspective."

Smaller models are trained on much fewer parameters than a large language model, they take less computational capacity from a performance perspective.

--- Praveen Gujar

This strategic model selection ensures efficiency and transparency in campaign management, balancing performance with resource demands 4.