Skip to content
The Data Exchange

The Data Exchange

  • Twitter
  • Linkedin
  • RSS
  • YouTube
  • Reddit

Data ∪ Machine Learning ∪ AI

  • Home
  • About
  • Subscribe
  • Contact
  • Archive
  • Gradient Flow

Tag: infrastructure

Green Roof, California Academy of Sciences

How deep learning is being used in search and information retrieval

The Data Exchange Podcast: Edo Liberty on building tools for deploying deep learning models in search and information retrieval.

infrastructure, ml-ops, transcript, vectordb

The responsible development, deployment and operation of machine learning systems

The Data Exchange Podcast: Alejandro Saucedo on explainability, MLOps, adversarial robustness, and privacy.

ethics, infrastructure, ml-ops, risk

Taking messaging and data ingestion systems to the next level

The Data Exchange Podcast: Sijie Guo on how Apache Pulsar is able to handle both queuing and streaming, and both … More

china, infrastructure, realtime, transcript

Key AI and Data Trends for 2020

The Data Exchange Podcast: Mikio Braun and Ben Lorica on tools, models, applications, and risks to look out for in … More

ethics, infrastructure, nlp, privacy, reinforcement learning, risk, security, trends

The evolution of TensorFlow and of machine learning infrastructure

The Data Exchange Podcast: Rajat Monga on TensorFlow 2.0, TFX, and the state of machine learning platforms.

distributed, hardware, infrastructure, ml-ops, open source, recommendations, tensorflow

Taking stock of foundational tools for analytics and machine learning

The Data Exchange Podcast: Paco Nathan on data governance, AutoML, notebooks, and deep learning libraries.

governance, infrastructure, lineage, pytorch, tensorflow

Posts navigation

Newer posts

© Gradient Flow, 2019-present. No part of this site, The Data Exchange podcast, may be reproduced in whole or in part in any manner without the permission of the copyright owner.


 

Loading Comments...