Description
The O'Reilly Data Show Podcast is an interview series on big data, data science and artificial intelligence, hosted by Ben Lorica. Across its run it built a back catalog of 15 episodes featuring conversations with researchers, practitioners and entrepreneurs working on data-driven technology. The show was produced by O'Reilly Media, the technology publisher and conference organizer known for its books and training material on software and data engineering.
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Episodes cover a range of practical and research topics: machine learning for operational analytics and business intelligence, time series data analysis, ML benchmarks and development platforms, deep neural networks, and the practicalities of becoming a machine learning practitioner. Specific guest conversations touched on tools such as the Snorkel framework for data labeling, MLflow for experiment tracking, and WeightWatcher for analyzing trained neural networks, alongside broader discussions of data governance, data markets and responsible AI adoption in enterprises.
The most recent episode, an interview with Peter Bailis on machine learning for operational analytics, ran 52 minutes and was published on October 10, 2019. No new episodes have followed since, so the feed available today is a fixed back catalog rather than an ongoing show. Individual episodes generally run under an hour.
It suits listeners who want long-form, expert conversations about the state of data science and machine learning tooling from that period, useful as a historical record of how practitioners talked about ML infrastructure and data science practice in the late 2010s, rather than as a source of current news.
- CategoryOther AI Tools
What You'll Get
15-episode back catalog covering data science, machine learning and AI
Long-form interviews with researchers, practitioners and entrepreneurs
Episodes on ML benchmarks, data labeling and experiment tracking tools
Coverage of time series analysis and anomaly detection
Discussions of data governance and data markets
Guest conversations on tools like Snorkel, MLflow and WeightWatcher
Hosted by Ben Lorica, produced by O'Reilly Media
How to Follow O'Reilly Data Show Podcast
Find the show: Search 'O'Reilly Data Show Podcast' on Apple Podcasts or another podcast app.
Browse the catalog: All 15 episodes are available to stream or download at once, since the show is not releasing new ones.
Pick a topic: Look at episode titles for specific themes like time series analysis or ML benchmarks.
Listen: Episodes run under an hour, with guest interviews hosted by Ben Lorica.
Who O'Reilly Data Show Podcast Is Best For
- Historical ML tooling research
- Data science career context
- Data labeling and MLOps background
