{"podcast":{"title":"Software Engineering Radio - The Podcast for Professional Software Developers","slug":"software-engineering-radio","podcast_index_feed_id":1372513,"rss_url":"https://feeds.feedburner.com/se-radio","website_url":"https://www.se-radio.net","image_url":"http://media.computer.org/sponsored/podcast/se-radio/se-radio-logo-1400x1475.jpg","author":"SE-Radio Team (team@se-radio.net)","episode_count":724,"summary":"Software Engineering Radio is a podcast targeted at the professional software developer. The goal is to be a lasting educational resource, not a newscast. Every 10 days, a new episode is published that covers all topics software engineering. Episodes are either tutorials on a specific topic, or an interview with a well-known character from the software engineering world. All SE Radio episodes are original content — we do not record conferences or talks given in other venues. Each episode comprises two speakers to ensure a lively listening experience. SE Radio is an independent and non-commercial organization.","last_synced_at":null,"page_url":"https://stenobird.com/podcast/software-engineering-radio"},"episode":{"title":"SE Radio 696: Flavia Saldanha on Data Engineering for AI","slug":"se-radio-696-flavia-saldanha-on-data-engineering-for-ai","published_at":"2025-11-25T21:42:00+00:00","page_url":"https://stenobird.com/podcast/software-engineering-radio/se-radio-696-flavia-saldanha-on-data-engineering-for-ai","show_page_url":"https://stenobird.com/podcast/software-engineering-radio","url":"https://se-radio.net/2025/11/se-radio-696-flavia-saldanha-on-data-engineering-for-ai/","audio_url":"https://traffic.libsyn.com/secure/seradio/696-flavia-saldanha-data-engineering-ai.mp3?dest-id=23379","summary":"Flavia Saldanha, a consulting data engineer, joins host Kanchan Shringi to discuss the evolution of data engineering from ETL (extract, transform, load) and data lakes to modern lakehouse architectures enriched with vector databases and embeddings. Flavia explains the industry's shift from treating data as a service to treating it as a product, emphasizing ownership, trust, and business context as critical for AI-readiness. She describes how unified pipelines now serve both business intelligence and AI use cases, combining structured and unstructured data while ensuring semantic enrichment and a single source of truth. She outlines key components of a modern data stack, including data marketplaces, observability tools, data quality checks, orchestration, and embedded governance with lineage tracking. This episode highlights strategies for abstracting tooling, future-proofing architectures, enforcing data privacy, and controlling AI-serving layers to prevent hallucinations. Saldanha concludes that data engineers must move beyond pure ETL thinking, embrace product and NLP skills, and work closely with MLOps, using AI as a co-pilot rather than a replacement. Brought to you by IEEE Computer Society and IEEE Software magazine.","meta_description":"Flavia Saldanha, a consulting data engineer, joins host Kanchan Shringi to discuss the evolution of data engineering from ETL (extract, transform, load) a…","key_points":[],"chapters":[],"topics":[],"duration_seconds":4465,"processing_state":"failed","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/software-engineering-radio/episodes/se-radio-696-flavia-saldanha-on-data-engineering-for-ai/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/software-engineering-radio/se-radio-696-flavia-saldanha-on-data-engineering-for-ai.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}