Deploying AI Models with Abacus.AI

In a unique interactive workshop, experts from Abacus.AI, Siddartha Naidu and Austin Zielman, guide participants through the process of deploying AI models using the Abacus.AI platform. The session begins with an overview of the platform, emphasizing its capabilities for creating and deploying custom models. Attendees learn how to set up a real-time feature store, conduct batch predictions, and manage AI models effectively. The workshop includes a hands-on segment where participants create a custom Python model and deploy it to production, enabling live predictions. The presenters highlight the importance of data management, model monitoring, and the need for automated refresh cycles to keep models up to date. They explain the platform’s capabilities for data wrangling and transformations, making it accessible even for those with limited machine learning backgrounds. The session also covers debugging and monitoring deployed models, providing participants with practical tools to maintain model performance over time. By the end of the workshop, attendees have a comprehensive understanding of how to bring AI models from notebooks to production, utilizing the Abacus.AI platform’s features to streamline their workflows.