{"podcast":{"title":"The Data Science Podcast with Fexingo: Analytics, Machine Learning, and Data-Driven Conversations","slug":"the-data-science-podcast-with-fexingo-analytics-machine-learning-and-data-driven-conversations-7871831","podcast_index_feed_id":7871831,"rss_url":"https://feeds.fexingo.com/business/the-data-science-podcast.xml","website_url":"https://www.fexingo.com/","image_url":"https://audio.fexingo.com/business/the-data-science-podcast/cover.png","author":"Fexingo","episode_count":118,"summary":"Lucas and Luna sit at a data-science workstation, two thin laptops open to scatter plots and clustering visualizations, and ask: what can we actually learn from the numbers? Each episode of The Data Science Podcast with Fexingo is a grounded, specific conversation about a single analytics problem or machine-learning method — from regularization in regression to the bias-variance trade-off in random forests. Lucas leads with a journalistic eye for how models are built and tested in the real world, citing actual case studies like how Netflix used matrix factorization for recommendations or how healthcare researchers apply survival analysis to clinical trials. Luna keeps the discussion honest, asking about data quality, feature engineering pitfalls, and whether a model’s accuracy actually translates to business value. They never resort to buzzwords: instead, they walk through the workflow from data collection to deployment, discussing trade-offs like interpretability versus performance. The show serves data scientists, analysts, and engineers who want to stay sharp on methods without the hype. Listeners walk away with a clearer understanding of why one algorithm beats another on a gi…","last_synced_at":"2026-07-19T08:17:23.323447+00:00","page_url":"https://stenobird.com/podcast/the-data-science-podcast-with-fexingo-analytics-machine-learning-and-data-driven-conversations-7871831"},"episode":{"title":"How Data Scientists Use Retrieval Augmented Generation for Enterprise Search","slug":"how-data-scientists-use-retrieval-augmented-generation-for-enterprise-search","published_at":"2026-07-14T20:50:27+00:00","page_url":"https://stenobird.com/podcast/the-data-science-podcast-with-fexingo-analytics-machine-learning-and-data-driven-conversations-7871831/how-data-scientists-use-retrieval-augmented-generation-for-enterprise-search","show_page_url":"https://stenobird.com/podcast/the-data-science-podcast-with-fexingo-analytics-machine-learning-and-data-driven-conversations-7871831","url":"https://audio.fexingo.com/business/the-data-science-podcast/episode-0110.mp3","audio_url":"https://audio.fexingo.com/business/the-data-science-podcast/episode-0110.mp3","summary":"Episode 110 of The Data Science Podcast dives into Retrieval Augmented Generation (RAG) for enterprise search. Lucas and Luna explore how companies like JP Morgan and NASA are using RAG to make internal documents searchable and actionable. They discuss the key components: embedding models, vector databases like Pinecone, and large language models like GPT-4. The episode walks through a concrete example: a financial analyst querying a 10-K filing for revenue recognition policies. They cover challenges like chunking strategies, retrieval quality, and hallucination risks, plus emerging techniques like HyDE and multi-hop retrieval. By the end, listeners understand RAG's role in unlocking unstructured data at scale. #RetrievalAugmentedGeneration #EnterpriseSearch #RAG #VectorDatabases #Embeddings #LargeLanguageModels #GPT4 #Pinecone #JP Morgan #NASA #10K Filing #HyDE #MultiHopRetrieval #UnstructuredData #DataScience #Technology #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo","meta_description":"Episode 110 of The Data Science Podcast dives into Retrieval Augmented Generation (RAG) for enterprise search. Lucas and Luna explore how companies like J…","key_points":[],"chapters":[],"topics":[],"duration_seconds":472,"processing_state":"not_requested","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/the-data-science-podcast-with-fexingo-analytics-machine-learning-and-data-driven-conversations-7871831/episodes/how-data-scientists-use-retrieval-augmented-generation-for-enterprise-search/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/the-data-science-podcast-with-fexingo-analytics-machine-learning-and-data-driven-conversations-7871831/how-data-scientists-use-retrieval-augmented-generation-for-enterprise-search.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}