HealthCare and LifeSciences

Do you think you've hit a home run with high AI model accuracy? Think again! According to a recent MIT report, 95% of GenAI projects fail to deliver measurable impact. It's not because the models lack power—it's because organizations aren't designing their implementations effectively.

Today, life sciences leaders face a critical choice: succumb to "shiny object syndrome" with fleeting pilots, or integrate AI deeply into the operational core of R&D, clinical care, manufacturing, and field services to unlock lasting value.

This webinar reveals how to get it right and transform GenAI into a powerful engine for Pharma, Biopharma, MedTech, and Digital Health. Discover strategies to embed intelligence into systems, workflows, and governance. See real-world examples of accelerated regulatory cycles, safer clinical decisions, and consistent cost reductions across labs and supply chains. Learn to balance robust technical guardrails with practical change management, empowering you to scale with confidence instead of caution.

Source* : https://mlq.ai/media/quarterly_decks/v0.1_State_of_AI_in_Business_2025_Report.pdf

Attend Our Webinar To Explore

Why a platform-first architecture outpaces one-off tools by enabling cross-functional context, persistent memory, and composable automation that turn isolated pilots into enterprise assets.

Concrete governance patterns such as tiered controls, auditable context stores, and risk triggers that let users drive agentic automation in clinical, manufacturing, and field settings safely.

Change and talent actions that stick, including practical steps to redeploy people into AI-augmented roles, upskill domain experts to validate outputs, and amplify the “shadow AI” workflows.

The right executive KPIs to measure agility, care quality, and adaptive operational impact and link pilots to P&L drivers like reduced outsourcing and faster time-to-market.