Data Engineering podcasts

Zoe Weil discusses how recommendation and ranking systems can use in-session behavioral signals to model intent and optimize purchasing outcomes. The episode examines event-to-feature models, low-latency ranking infrastructure, evaluation against business outcomes, and the distinction between click relevance and useful recommendations. It also considers privacy tradeoffs in personalization and the relationship between advertising and organic revenue.

Hosted by Sam Charrington

Tim Wahlberg of CAS speaks with Rafael Rosengarten about the role of curated chemical knowledge in AI-assisted drug discovery. They examine scientific data quality, harmonisation and expert curation, and consider how reliable information can help researchers formulate questions and evaluate answers from large language models.

Hosted by Rafael Rosengarten

Pleias co-founder Pierre-Carl Langlais describes language models built from documented open and public-domain sources alongside synthetic data. The conversation examines the SYNTH dataset, gaps in common web crawls, preservation of source material and ethical choices beyond copyright status. It also covers compact deployed models, benchmark incentives, reasoning-trace access and competing approaches to national AI development. Hosted by Ravid Shwartz Ziv and Allen Roush. Watch the full conversation on the publisher’s YouTube channel.

Hosted by Ravid Shwartz Ziv, Allen Roush