The Data Exchange Podcast: Brad King on trends and innovations in hardware, storage, and data infrastructure technologies.
Towards a next-generation dataflow orchestration and automation system
The Data Exchange Podcast: Chris White on building an engine that enables arbitrary proprietary workflows.
Building a flexible, intuitive, and fast forecasting library
The Data Exchange Podcast Reza Hosseini and Albert Chen on the impressive new forecasting library Greykite and its flagship algorithm…
Neural Models for Tabular Data
The Data Exchange Podcast: Sercan Arik on a canonical neural network architecture for tabular data.
Training and Sharing Large Language Models
The Data Exchange Podcast: Connor Leahy on building models and datasets for the natural language research community.
Questioning the Efficacy of Neural Recommendation Systems
The Data Exchange Podcast: Paolo Cremonesi and Maurizio Ferrari Dacrema on the reproducibility, complexity, and inefficiency of neural methods for…
Automation in Data Management and Data Labeling
The Data Exchange Podcast: Hyun Kim on building automation and DataOps tools to help companies unlock computer vision data.
Reinforcement Learning For the Win
The Data Exchange Podcast: Nicolas Hohn on challenges and best practices for using RL and machine learning in the enterprise.
How Companies Are Investing in AI Risk and Liability Minimization
The Data Exchange Podcast: Andrew Burt on the state of AI risk mitigation and responsible AI.
The Future of Machine Learning Lies in Better Abstractions
The Data Exchange Podcast: Travis Addair on how higher levels of abstractions enable non-experts to build efficient machine learning models.