{"podcast":{"title":"Engineering the Intelligent Enterprise","slug":"advances-and-innovations-in-actuation-systems-7727128","podcast_index_feed_id":7727128,"rss_url":"https://anchor.fm/s/101c20a2c/podcast/rss","website_url":"https://podcasters.spotify.com/pod/show/prasad-bhonde6","image_url":"https://d3t3ozftmdmh3i.cloudfront.net/staging/podcast_uploaded_nologo/43144611/43144611-1786731404090-02f8d831104d7.jpg","author":"PRASAD BHONDE","episode_count":238,"summary":"Industrial technology explained through practical engineering and business decisions. Hosted by Prasad Bhonde, this podcast examines AI agents, automation, cybersecurity, manufacturing systems, operational efficiency and emerging technologies. Each episode turns a complex technical development into clear lessons for engineers, technology leaders, founders and operations professionals. Follow the show for grounded analysis of how intelligent systems are designed, governed and applied in real organisations.","last_synced_at":"2026-09-25T16:17:19.736568+00:00","page_url":"https://stenobird.com/podcast/advances-and-innovations-in-actuation-systems-7727128"},"episode":{"title":"The Trillion-Dollar Blindspot: Unlocking Dark Data on the Factory Floor","slug":"the-trillion-dollar-blindspot-unlocking-dark-data-on-the-factory-floor","published_at":"2026-07-18T11:56:41+00:00","page_url":"https://stenobird.com/podcast/advances-and-innovations-in-actuation-systems-7727128/the-trillion-dollar-blindspot-unlocking-dark-data-on-the-factory-floor","show_page_url":"https://stenobird.com/podcast/advances-and-innovations-in-actuation-systems-7727128","url":"https://podcasters.spotify.com/pod/show/prasad-bhonde6/episodes/The-Trillion-Dollar-Blindspot-Unlocking-Dark-Data-on-the-Factory-Floor-e3m82ks","audio_url":"https://anchor.fm/s/101c20a2c/podcast/play/122996828/https%3A%2F%2Fd3ctxlq1ktw2nl.cloudfront.net%2Fstaging%2F2026-6-18%2F2fdad59d-5f82-09c0-7933-b917c2c8f34b.m4a","summary":"Facilities invest millions in camera infrastructure. They capture endless hours of production footage. This data remains completely dormant until a severe accident forces a review. The physical hardware is present. Analytical intelligence is missing. ------------------------------------------ In this session, we deconstruct the operational failure of legacy CCTV networks. We examine the exact methodology for attaching localized machine learning models to existing video feeds. We rely strictly on raw data and component realities. We review how near-miss analytics alter physical factory layouts. ------------------------------------------ Core Technical Discussion: - The physics of dark data on the factory floor. - Deploying machine vision models onto legacy RTSP streams. - The Restorative Engineering mandate. - Translating visual anomalies into actionable safety metrics. Reference Material:SafVR Near-Miss Analytics: https://www.safvr.com/solutions/near-miss-detection ------------------------------------------- Stay Tuned… Regards, Top Voice Maido & Kon'nichiwa min'na! 👶🏻🧑🏻‍🦱👩🏻‍🦳 Wie Geht's guys? Mir geht's gut!!! ✌️🤘🙌 #edgeai #systemarchitecture #computervision #restorativeengineering #operations","meta_description":"Facilities invest millions in camera infrastructure. They capture endless hours of production footage. This data remains completely dormant until a severe…","key_points":[],"chapters":[],"topics":[],"duration_seconds":2153,"processing_state":"not_requested","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/advances-and-innovations-in-actuation-systems-7727128/episodes/the-trillion-dollar-blindspot-unlocking-dark-data-on-the-factory-floor/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/advances-and-innovations-in-actuation-systems-7727128/the-trillion-dollar-blindspot-unlocking-dark-data-on-the-factory-floor.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}