The Data Exchange with Ben Lorica
A podcast by Ben Lorica - Thursdays
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Categories:
270 Episodes
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Generating high-fidelity and privacy-preserving synthetic data
Published: 3/9/2023 -
How technology is disrupting the venture capital industry
Published: 3/2/2023 -
Running Machine Learning Workloads On Any Cloud
Published: 2/23/2023 -
2023 Trends in Data Engineering and Infrastructure
Published: 2/16/2023 -
Preparing for the Implementation of the EU AI Act and Other AI Regulations
Published: 2/9/2023 -
The Open Source Stack Unleashing a Game-Changing AI Hardware Shift
Published: 2/2/2023 -
Data Science and AI in Context
Published: 1/26/2023 -
Evaluating Language Models
Published: 1/19/2023 -
2023 Opportunities and Trends: Data, Machine Learning, and AI
Published: 1/12/2023 -
Exploring DALL·E 2
Published: 1/5/2023 -
Data Science at Shopify and Stitch Fix
Published: 12/29/2022 -
Building a data management system for unstructured data
Published: 12/22/2022 -
A Cloud Native Vector Database Management System
Published: 12/15/2022 -
What’s Next for Machine Learning in Time Series
Published: 12/8/2022 -
Efficient Methods for Natural Language Processing
Published: 12/1/2022 -
Responsible and Trustworthy AI
Published: 11/23/2022 -
Building a premier industrial AI research and product group
Published: 11/17/2022 -
An open source, production grade vector search engine
Published: 11/10/2022 -
A comprehensive suite of open source tools for time series modeling
Published: 11/3/2022 -
Building Safe and Reliable AI applications
Published: 10/27/2022
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/].