{"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":"Modernizing Targeting to Close the Field Execution Gap - with Damion Nero of  Daiichi Sankyo","slug":"modernizing-targeting-to-close-the-field-execution-gap-with-damion-nero-of-daiichi-sankyo","published_at":"2026-06-10T14:00:00+00:00","page_url":"https://stenobird.com/podcast/the-ai-in-business-podcast-168928/modernizing-targeting-to-close-the-field-execution-gap-with-damion-nero-of-daiichi-sankyo","show_page_url":"https://stenobird.com/podcast/the-ai-in-business-podcast-168928","url":"https://podcast.emerj.com/modernizing-targeting-to-close-the-field-execution-gap-with-damion-nero-of-daiichi-sankyo","audio_url":"https://traffic.libsyn.com/secure/techemergence/Ed_ODAIA_Final_Audio_External_1_Damion_Nero.mp3?dest-id=151434","summary":"Pharma commercial teams are generating more data than ever, but field intelligence is still arriving too late to change rep behavior before the engagement window closes. In this episode, Damion Nero, Global Head of Statistics at Daiichi Sankyo, joins Emerj editor Yolandi de Weerdt to examine why fragmented data pipelines, not a shortage of data, are the structural root of the gap between commercial insight and field execution. The conversation covers what separates teams that successfully adopt AI from those stuck in the pilot phase, and why starting with routine, high-certainty use cases consistently produces more commercial lift than chasing ambitious automation. This episode is sponsored by ODAIA . Learn how leading organizations approach AI investment more like a venture portfolio, and why interdisciplinary collaboration is critical to defining the right data for AI success. Download our free PDF report, \"Beginning with AI,\" at emerj.com/aik1","meta_description":"Pharma commercial teams are generating more data than ever, but field intelligence is still arriving too late to change rep behavior before the engagement…","key_points":[],"chapters":[],"topics":[],"duration_seconds":1480,"processing_state":"not_requested","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/the-ai-in-business-podcast-168928/episodes/modernizing-targeting-to-close-the-field-execution-gap-with-damion-nero-of-daiichi-sankyo/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/modernizing-targeting-to-close-the-field-execution-gap-with-damion-nero-of-daiichi-sankyo.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}