The Data Exchange with Ben Lorica
A podcast by Ben Lorica - Thursdays
Categories:
251 Episodes
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How Technology Companies Are Using Ray
Published: 15/04/2021 -
Data quality is key to great AI products and services
Published: 8/04/2021 -
Machine Learning in Healthcare
Published: 1/04/2021 -
Measuring the Impact of AI and Machine Learning Research
Published: 25/03/2021 -
The Mathematics of Data Integration and Data Quality
Published: 18/03/2021 -
Pricing Data Products
Published: 11/03/2021 -
Challenges, Opportunities, and Trends in EdTech
Published: 4/03/2021 -
Towards Simple, Interpretable, and Trustworthy AI
Published: 25/02/2021 -
The Rise of Metadata Management Systems
Published: 18/02/2021 -
Tools for building robust, state-of-the-art machine learning models
Published: 11/02/2021 -
Creating Master Data at Scale with AI
Published: 4/02/2021 -
Bringing AI and computing closer to data sources
Published: 28/01/2021 -
Deep Learning in the Sciences
Published: 21/01/2021 -
Taking business intelligence and analyst tools to the next level
Published: 14/01/2021 -
Data exchanges and their applications in healthcare and the life sciences
Published: 7/01/2021 -
Key AI and Data Trends for 2021
Published: 31/12/2020 -
A Unified Management Model for Successful Data-Focused Teams
Published: 24/12/2020 -
Security and privacy for the disoriented
Published: 17/12/2020 -
The State of Responsible AI
Published: 10/12/2020 -
Improving the robustness of natural language applications
Published: 3/12/2020
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/].