{"podcast":{"title":"DataFramed","slug":"dataframed","podcast_index_feed_id":431413,"rss_url":"https://feeds.captivate.fm/dataframed/","website_url":"https://www.datacamp.com/podcast","image_url":"https://artwork.captivate.fm/4700b4b7-f386-4200-9a46-640458f2dcbd/5cfec01b44f3e29fae1fb88ade93fc4aecd05b192fbfbc2c2f1daa412b7c192.jpg","author":"DataCamp","episode_count":300,"summary":"Welcome to DataFramed, a weekly podcast exploring how artificial intelligence and data are changing the world around us. On this show, we invite data & AI leaders at the forefront of the data revolution to share their insights and experiences into how they lead the charge in this era of AI. Whether you're a beginner looking to gain insights into a career in data & AI, a practitioner needing to stay up-to-date on the latest tools and trends, or a leader looking to transform how your organization uses data & AI, there's something here for everyone. Join co-hosts Adel Nehme and Richie Cotton as they delve into the stories and ideas that are shaping the future of data. Subscribe to the show and tune in to the latest episode on the feed below.","last_synced_at":null,"page_url":"https://stenobird.com/podcast/dataframed"},"episode":{"title":"#353 The Data Team's Agentic Future with Ketan Karkhanis, CEO at ThoughtSpot","slug":"353-the-data-team-s-agentic-future-with-ketan-karkhanis-ceo-at-thoughtspot","published_at":"2026-03-30T09:00:00+00:00","page_url":"https://stenobird.com/podcast/dataframed/353-the-data-team-s-agentic-future-with-ketan-karkhanis-ceo-at-thoughtspot","show_page_url":"https://stenobird.com/podcast/dataframed","url":"https://www.datacamp.com/podcast","audio_url":"https://dts.podtrac.com/redirect.mp3/cohst.app/pdcst/6G1A6D/episodes.captivate.fm/episode/99b8dd9a-bda4-4a8a-979c-a317372a95aa.mp3","summary":"The bottleneck for AI-driven analytics is not model capability, but data readiness and semantic clarity. Ketan Karkhanis explains how data teams must transition from building dashboards to designing governed, agent-friendly metadata.","meta_description":"Learn why data readiness, not LLM power, determines the success of AI agents in analytics and how to evolve your data strategy for an agentic future.","key_points":["Main idea: AI agents require 'agent-friendly' metadata and governed semantics rather than just human-readable descriptions","Practical takeaway: Focus on delivering measurable ROI within 30 days on a single use case to drive organizational adoption","Failure mode: Avoid 'AI slop' by ensuring data quality and preventing the pursuit of perfection from stalling progress","Strategic shift: Data analysts must evolve into 'AI stewards' who manage the logic and trust layers of the data ecosystem","Critical warning: Do not mistake simple text-to-SQL capabilities for true generative AI innovation"],"chapters":[{"start_ms":60000,"title":"The Imperative of Agent-Friendly Data","summary":"Why column descriptions and metadata must be optimized for machines to prevent 'AI slop'."},{"start_ms":280000,"title":"The Reality of Self-Service BI","summary":"Moving beyond the decade-long failed promise of self-service toward true agentic automation."},{"start_ms":500000,"title":"The Evolution of the Analyst Role","summary":"How the rise of agents shifts the data professional's job toward governance and design."},{"start_ms":1170000,"title":"Modern Data Stack Integration","summary":"Leveraging existing cloud data warehouses like Snowflake, Databricks, and BigQuery for AI readiness."},{"start_ms":1610000,"title":"Building an AI-First People Strategy","summary":"Why organizational change management and new skill investment are as vital as the technology itself."},{"start_ms":1830000,"title":"Avoiding the 'Shiny Demo' Trap","summary":"Distinguishing between meaningful AI innovation and basic text-to-SQL automation."},{"start_ms":2300000,"title":"Driving ROI through Change Management","summary":"How to tie AI projects to concrete business value and decommissioning legacy technical debt."}],"topics":["AI Agents","Data Strategy","Business Intelligence","Data Governance","Analytics Engineering","Semantic Layer","Data Culture","Machine Learning Operations"],"duration_seconds":2986,"processing_state":"processed","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/dataframed/episodes/353-the-data-team-s-agentic-future-with-ketan-karkhanis-ceo-at-thoughtspot/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/dataframed/353-the-data-team-s-agentic-future-with-ketan-karkhanis-ceo-at-thoughtspot.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}