The Data Exchange with Ben Lorica
A podcast by Ben Lorica - Thursdays

Categories:
281 Episodes
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Training and Sharing Large Language Models
Published: 6/24/2021 -
Questioning the Efficacy of Neural Recommendation Systems
Published: 6/17/2021 -
Automation in Data Management and Data Labeling
Published: 6/10/2021 -
Reinforcement Learning For the Win
Published: 6/3/2021 -
How Companies Are Investing in AI Risk and Liability Minimization
Published: 5/27/2021 -
The Future of Machine Learning Lies in Better Abstractions
Published: 5/20/2021 -
Why You Should Optimize Your Deep Learning Inference Platform
Published: 5/13/2021 -
AI Beyond Automation
Published: 5/6/2021 -
Injecting Software Engineering Practices and Rigor into Data Governance
Published: 4/29/2021 -
Building a data store for unstructured data and deep learning applications
Published: 4/22/2021 -
How Technology Companies Are Using Ray
Published: 4/15/2021 -
Data quality is key to great AI products and services
Published: 4/8/2021 -
Machine Learning in Healthcare
Published: 4/1/2021 -
Measuring the Impact of AI and Machine Learning Research
Published: 3/25/2021 -
The Mathematics of Data Integration and Data Quality
Published: 3/18/2021 -
Pricing Data Products
Published: 3/11/2021 -
Challenges, Opportunities, and Trends in EdTech
Published: 3/4/2021 -
Towards Simple, Interpretable, and Trustworthy AI
Published: 2/25/2021 -
The Rise of Metadata Management Systems
Published: 2/18/2021 -
Tools for building robust, state-of-the-art machine learning models
Published: 2/11/2021
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/].