{"podcast":{"title":"The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)","slug":"twiml-ai-podcast","podcast_index_feed_id":1045879,"rss_url":"https://feeds.megaphone.fm/MLN2155636147","website_url":"https://twimlai.com","image_url":"https://megaphone.imgix.net/podcasts/35230150-ee98-11eb-ad1a-b38cbabcd053/image/TWIML_AI_Podcast_Official_Cover_Art_1400px.png?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress","author":"TWIML","episode_count":785,"summary":"Machine learning and artificial intelligence are dramatically changing the way businesses operate and people live. The TWIML AI Podcast brings the top minds and ideas from the world of ML and AI to a broad and influential community of ML/AI researchers, data scientists, engineers and tech-savvy business and IT leaders. Hosted by Sam Charrington, a sought after industry analyst, speaker, commentator and thought leader. Technologies covered include machine learning, artificial intelligence, deep learning, natural language processing, neural networks, analytics, computer science, data science and more.","last_synced_at":null,"page_url":"https://stenobird.com/podcast/twiml-ai-podcast"},"episode":{"title":"AI Orchestration for Smart Cities and the Enterprise with Robin Braun and Luke Norris - #755","slug":"ai-orchestration-for-smart-cities-and-the-enterprise-with-robin-braun-and-luke-norris-755","published_at":"2025-11-12T20:05:00+00:00","page_url":"https://stenobird.com/podcast/twiml-ai-podcast/ai-orchestration-for-smart-cities-and-the-enterprise-with-robin-braun-and-luke-norris-755","show_page_url":"https://stenobird.com/podcast/twiml-ai-podcast","url":"https://twimlai.com/podcast/twimlai/ai-orchestration-for-smart-cities-and-the-enterprise/","audio_url":"https://pscrb.fm/rss/p/traffic.megaphone.fm/MLN7553368301.mp3?updated=1762978440","summary":"AI orchestration is moving from experimental mandates to tangible ROI by automating complex enterprise workflows and legacy data extraction. Using the 'Agentic Smart City' in Vail, Colorado, as a blueprint, the discussion demonstrates how agentic workflows can solve specific, high-impact problems like accessibility compliance and fire risk assessment.","meta_description":"Learn how AI orchestration and agentic workflows drive practical ROI in smart cities and enterprises through automated compliance and data extraction.","key_points":["Main idea: The focus of enterprise AI has shifted from broad mandates to proving measurable ROI through targeted use cases","Practical takeaway: Use a 'mud puddle by mud puddle' approach—solving small, discrete problems like 508 compliance before attempting massive system overhauls","Failure mode: Attempting grandiose, all-encompassing AI visions at the start can lead to project collapse under the weight of complexity","Technical insight: Modern AI agents can use 'computer use' capabilities to navigate browsers and remediate web accessibility issues automatically","Strategic advice: Do not wait for perfect data hygiene; the effort to cleanse legacy data often results in data that is already obsolete by the time it is ready"],"chapters":[{"start_ms":60000,"title":"The Shift from AI Mandates to ROI","summary":"Discussion on how the enterprise focus has moved from general AI adoption to seeking tangible returns on investment."},{"start_ms":305000,"title":"Automating Ontology and Entity Extraction","summary":"How recent advancements in models allow for automatic creation of ontology schemes and abstraction from legacy files."},{"start_ms":550000,"title":"Automating 508 Compliance","summary":"A deep dive into using visual language models and agents to automate the manual, error-prone process of web accessibility remediation."},{"start_ms":1030000,"title":"AI for Environmental Risk Assessment","summary":"Using contextual data and camera feeds to predict and manage fire risks in smart city environments."},{"start_ms":1285000,"title":"Leveraging Existing Infrastructure","summary":"The importance of reusing existing hardware, such as municipal camera networks, to deploy AI solutions cost-effectively."},{"start_ms":2015000,"title":"The Mechanics of Agentic RAG","summary":"An explanation of the recursive lookup, ontology systems, and vector representations required for advanced agentic retrieval."},{"start_ms":2765000,"title":"Managing the AI Stack and Lifecycle","summary":"Addressing the complexities of maintaining AI infrastructure and the importance of managing the lifespan of data assets."}],"topics":["AI Orchestration","Agentic Workflows","Smart Cities","Enterprise AI","508 Compliance","Data Engineering","Hybrid Cloud","Computer Use Agents"],"duration_seconds":3286,"processing_state":"processed","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/twiml-ai-podcast/episodes/ai-orchestration-for-smart-cities-and-the-enterprise-with-robin-braun-and-luke-norris-755/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/twiml-ai-podcast/ai-orchestration-for-smart-cities-and-the-enterprise-with-robin-braun-and-luke-norris-755.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}