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.
Narrative AI
Hilary Mason on how AI can be used to create playable role playing games.
Machine Learning Model Observability
Oren Razon on key aspects of model observability, MLOps, and CI/CD for machine learning.
Dataflow Automation
Jeremiah Lowin on designing tools to allow teams to build, run, and monitor data pipelines at scale.
Practical Machine Learning and Deep learning
Sebastian Raschka on the state of tools for training, tuning, and evaluating machine learning models.
Machine Learning for Optimization
Ade Fajemisin and Donato Maragno on recent trends and challenges in applying ML to optimization problems.
Efficient Scaling of Language Models
Barret Zoph and Liam Fedus on recent trends and challenges in NLP and Large Language Models.
Data Science at Stitch Fix
Olivia Liao on blending recommendation and personalization models with human expertise.