У нас вы можете посмотреть бесплатно Generative AI Agents in Pharma Commercial: Move Faster Without Compliance Risk или скачать в максимальном доступном качестве, видео которое было загружено на ютуб. Для загрузки выберите вариант из формы ниже:
Если кнопки скачивания не
загрузились
НАЖМИТЕ ЗДЕСЬ или обновите страницу
Если возникают проблемы со скачиванием видео, пожалуйста напишите в поддержку по адресу внизу
страницы.
Спасибо за использование сервиса ClipSaver.ru
Pharma commercial teams are being pushed to move faster across more channels, with messier data and tighter oversight. Generative AI is already showing up in commercial operations, but the real challenge is using it without creating compliance, privacy, or medical accuracy risks. This video is for pharma and life sciences commercial leaders, brand teams, omnichannel and content operations, MLR reviewers, field effectiveness teams, and CRM owners. Viewers will learn how to design generative AI agents that accelerate segmentation, content production, CRM workflows, and field execution while strengthening compliance, traceability, and review controls. In this video, you’ll learn what “generative AI agents” really look like in pharma commercial execution, beyond generic chatbots. We break down practical, compliance-first agents for segmentation, omnichannel content assembly, CRM automation, field effectiveness, and MLR acceleration. You’ll also see how these agents fit into a controlled operating model built on approved claims libraries, evidence-based retrieval, workflow routing, permissions, and audit-ready traceability. You’ll learn: What separates a task-completing agent from a simple chatbot How a segmentation agent turns targeting into a governed, explainable system How omnichannel content agents assemble compliant variants from approved claim modules How CRM copilots reduce admin work while protecting privacy and promotional compliance How field effectiveness agents help reps prepare and follow up within approved boundaries How MLR pre-flight and modular content reduce rework and compress review cycle time The governance, testing, and “hard lines” required to keep speed inside guardrails Common failure modes that cause risk, rework, and low adoption Sources and further reading: FDA Drug Guidance: https://www.fda.gov/drugs/guidances-d... FDA OPDP: https://www.fda.gov/drugs/office-pres... EMA Pharmacovigilance: https://www.ema.europa.eu/en/human-re... ICH Quality Guidelines: https://www.ich.org/page/quality-guid... HL7 FHIR: https://www.hl7.org/fhir/ ISPE Guidance: https://www.ispe.org/guidance-documents Tags : pharma commercial, pharmaceutical marketing, life sciences commercial, generative ai, ai agents, agentic ai, pharma compliance, MLR review, medical legal regulatory, promotional review, omnichannel marketing, pharma omnichannel, content operations, claims library, compliant content, pharma CRM, Veeva CRM, CRM automation, next best action, field effectiveness, sales enablement, HCP engagement, segmentation, targeting and segmentation, medical affairs, regulatory affairs, OPDP, FDA advertising, fair balance, pharmacovigilance, governance, audit trail, retrieval augmented generation, RAG, LLM governance, responsible ai, privacy by design, AI in life sciences, enterprise AI, content modularity, campaign orchestration