The Data Exchange with Ben Lorica
A podcast by Ben Lorica - Joi
281 Episoade
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Creating Master Data at Scale with AI
Publicat: 04.02.2021 -
Bringing AI and computing closer to data sources
Publicat: 28.01.2021 -
Deep Learning in the Sciences
Publicat: 21.01.2021 -
Taking business intelligence and analyst tools to the next level
Publicat: 14.01.2021 -
Data exchanges and their applications in healthcare and the life sciences
Publicat: 07.01.2021 -
Key AI and Data Trends for 2021
Publicat: 31.12.2020 -
A Unified Management Model for Successful Data-Focused Teams
Publicat: 24.12.2020 -
Security and privacy for the disoriented
Publicat: 17.12.2020 -
The State of Responsible AI
Publicat: 10.12.2020 -
Improving the robustness of natural language applications
Publicat: 03.12.2020 -
End-to-end deep learning models for speech applications
Publicat: 26.11.2020 -
Securing machine learning applications
Publicat: 19.11.2020 -
Testing Natural Language Models
Publicat: 12.11.2020 -
Detecting Fake News
Publicat: 05.11.2020 -
The Computational Limits of Deep Learning
Publicat: 29.10.2020 -
Making deep learning accessible
Publicat: 22.10.2020 -
Building and deploying knowledge graphs
Publicat: 15.10.2020 -
Financial Time Series Forecasting with Deep Learning
Publicat: 08.10.2020 -
A programming language for scientific machine learning and differentiable programming
Publicat: 01.10.2020 -
Using machine learning to modernize medical triage and monitoring systems
Publicat: 24.09.2020
A series of informal conversations with thought leaders, researchers, practitioners, and writers on a wide range of topics in technology, science, and of course big data, data science, artificial intelligence, and related applications. Anchored by Ben Lorica (@BigData), the Data Exchange also features a roundup of the most important stories from the worlds of data, machine learning and AI. Detailed show notes for each episode can be found on https://thedataexchange.media/ The Data Exchange podcast is a production of Gradient Flow [https://gradientflow.com/].
