The Data Exchange Podcast: Jesse Anderson, Ben Lorica, and Jenn Webb on new tools, processes, and best practices for building…
Changes to the data science role and to data science tools
The Data Exchange Podcast: Sean Taylor on how data science and the role of data scientists have changed over the…
Data Augmentation in Natural Language Processing
The Data Exchange Podcast: Ed Hovy and Steven Feng on current challenges and future directions for research in data augmentation…
Storage Technologies for a Multi-cloud World
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.