Hamza Tahir and Adam Probst on the state of MLOps and tools for productionizing machine learning pipelines.
Machine Learning at Gong
Omri Allouche on building and deploying NLP and speech models for a startup pegacorn.
Data Infrastructure for Computer Vision
Danny Bickson and Amir Alush on building tools for managing, analyzing, and unlocking visual data.
How DALL·E works
Mark Chen on building AI models for image generation.
Scalable, end-to-end machine learning, for everyone
Jules Damji and Richard Liaw on the state of the Ray ecosystem.
Orchestration and Pipelines for Data Scientists
Rick Lamers on building a data science workbench on top of a popular orchestration framework.
Dataframes at scale
Devin Petersohn on the current state and future roadmap of Modin.
Software-Defined Assets
Nick Schrock on a new approach for managing, maintaining, and orchestrating data declaratively.
Adversarial Machine Learning
Edmon Begoli on adversarial AI and its future implications.
Orchestrating Machine Learning Applications
Haytham Abuelfutuh on building an orchestration solution for modern data and machine learning applications.