{"podcast":{"title":"The AI in Business Podcast","slug":"the-ai-in-business-podcast-168928","podcast_index_feed_id":168928,"rss_url":"https://techemergence.libsyn.com/rss","website_url":"http://emerj.com","image_url":"https://static.libsyn.com/p/assets/9/c/2/2/9c226d0d338dd5bed959afa2a1bf1c87/1.png","author":"Daniel Faggella","episode_count":1163,"summary":"The AI in Business Podcast is for non-technical business leaders who need to find AI opportunities, align AI capabilities with strategy, and deliver ROI. Each week, Emerj research staff and journalists interview top AI executives from Fortune 2000 firms and unicorn startups - uncovering trends, use-cases, and best practices for practical AI adoption. Visit our advertising page to learn more about reaching our executive audience of Fortune 2000 AI adopters: https://emerj.com/advertise","last_synced_at":"2026-07-04T00:20:08.438260+00:00","page_url":"https://stenobird.com/podcast/the-ai-in-business-podcast-168928"},"episode":{"title":"How Unified Context Turns AI Into Real Enterprise Performance - with Ravi Marwaha of Arango","slug":"how-unified-context-turns-ai-into-real-enterprise-performance-with-ravi-marwaha-of-arango","published_at":"2026-06-10T06:00:00+00:00","page_url":"https://stenobird.com/podcast/the-ai-in-business-podcast-168928/how-unified-context-turns-ai-into-real-enterprise-performance-with-ravi-marwaha-of-arango","show_page_url":"https://stenobird.com/podcast/the-ai-in-business-podcast-168928","url":"https://podcast.emerj.com/how-unified-context-turns-ai-into-real-enterprise-performance-with-ravi-marwaha-of-arango","audio_url":"https://traffic.libsyn.com/secure/techemergence/Ed_Arango_Final_Audio_Internal_Podcast_2_Ravi_Marwa.mp3?dest-id=151434","summary":"Enterprise AI agents fail consistently in production, not because of model limitations, but because they lack a live, temporally aware context layer grounded in the actual current state of the business. In this episode, Ravi Marwaha, Chief Operating Officer & Chief Technology Product Officer at Arango, explores how treating context as infrastructure—rather than a data pipeline problem—enables agents to reason accurately, explain their decisions, and deliver measurable outcomes across customer support, semiconductor engineering, and clinical trial site selection. The discussion covers five practical frameworks for CIOs and chief data officers on building real-time, explainable context layers on top of existing enterprise systems, without ripping and replacing current infrastructure. This episode is sponsored by Arango. To learn how to improve landing page conversion and use self-qualification systems to identify high-intent leads, download Emerj's free PDF report, \"B2B AI Lead Generation Guide,\" at emerj.com/aig2","meta_description":"Enterprise AI agents fail consistently in production, not because of model limitations, but because they lack a live, temporally aware context layer groun…","key_points":[],"chapters":[],"topics":[],"duration_seconds":2281,"processing_state":"not_requested","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/the-ai-in-business-podcast-168928/episodes/how-unified-context-turns-ai-into-real-enterprise-performance-with-ravi-marwaha-of-arango/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/the-ai-in-business-podcast-168928/how-unified-context-turns-ai-into-real-enterprise-performance-with-ravi-marwaha-of-arango.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}