From Theory to Practice: Navigating AI Integration in Regulated Pharma by Atika Kumar
Event description: The promise of Artificial Intelligence (AI) in pharmaceutical manufacturing is vast, but with it come challenges, particularly in regulatory compliance. In this presentation, we'll break down the essential elements of AI, explore the regulatory hurdles, and highlight success stories from the field. Equip yourself with the knowledge to innovate and integrate AI seamlessly in the world of pharma.
Speaker / Organizer Bio
Share a brief background about yourself and your experience with AI. Consider including details about your work history, accomplishments, credentials, and why you want to share your expertise and how attendees will get value from learning with you.
Atika Kumar | AI Product & Regulatory Strategy Advisor | Founder, Wiztree Consulting Atika Kumar is a seasoned AI and digital strategy advisor with over 18 years of experience leading complex digital transformation initiatives across the pharmaceutical and HR industries. As the former Global Program Lead at Novartis, she played a pivotal role in establishing the AI platform for Patient Safety, helping translate ambitious AI strategies into practical, scalable solutions that met stringent regulatory requirements. Currently, Atika is the founder of Wiztree Consulting, where she advises senior executives on AI integration strategies with a focus on regulated industries. Her work bridges the critical gap between visionary AI use cases and the operational realities of implementation. She brings a product- and platform-centric mindset to AI adoption, emphasizing process-readiness, responsible AI practices, and long-term value capture. Atika’s session will offer pragmatic insights on moving beyond proofs-of-concept to enterprise-level integration, drawing from real-world challenges and frameworks she has developed for scalable and compliant AI implementation. Attendees will walk away with actionable strategies to drive meaningful AI adoption—grounded in industry context, not hype.