Pierre Brunelle
Before Pixeltable, Pierre worked at Confluent after his company (Noteable) was acquired. Led Amazon’s notebook initiatives (Internally & AWS SageMaker). Prev. worked at Amazon Core AI/ML, helped launch Amazon’s online car leasing store in the EU, and worked on diverse ML projects such as Amazon’s Data Quality Framework (Deequ).
Sessions
This tutorial introduces Pixeltable, which provides data-centric AI infrastructure with a declarative, incremental approach for multimodal workloads. Participants will learn to manage multimodal data (text, images, video) using Pixeltable's declarative interface. We'll cover data versioning, indexing, and orchestration through computed columns and iterators. Attendees will gain practical experience with Pixeltable's integration capabilities and custom UDFs.
Requirements: Python knowledge, basic ML concepts. Materials will be available via a GitHub repository and Google Colab notebooks.