Predicting Ad Performance in Real-Time: PadSquad & Iguazio at the Data Science Salon
In this talk, Daniel Meehan, CEO & Founder of PadSquad explains how to build a predictive AI application which can analyze events and impressions from online ads in real-time. He discusses how to run and analyze thousands of real-time and batch events per second for ad performance optimization. By leveraging the Iguazio data science platform, PadSquad created an automated ML pipeline that supports the entire #datascience lifecycle, abstracts away DevOps, and includes advanced feature engineering capabilities, engagement can be monitored per individual ad location, enabling enhanced performance while drastically reducing media costs. Asaf Somekh, CEO and Co-Founder of Iguazio, joins him in this presentation at the virtual Data Science Salon conference.