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AI in GxP Environments | 9-Hour Online Training Course - Provides Frameworks for Decision-Grade AI Implementation Vital for QA, Regulatory, and Governance Professionals

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JNJ Johnson & Johnson is mentioned as an organization whose professionals have attended training related to AI in GxP environments, indicating a general industry interest rather than specific company news. MRK MSD (Merck & Co., Inc.) is mentioned as an organization whose professionals have attended training related to AI in GxP environments, indicating a general industry interest rather than specific company news. SNY Sanofi is mentioned as an organization whose professionals have attended training related to AI in GxP environments, indicating a general industry interest rather than specific company news. GSK GSK is mentioned as an organization whose professionals have attended training related to AI in GxP environments, indicating a general industry interest rather than specific company news.

AI in GxP Environments | 9-Hour Online Training Course - Provides Frameworks for Decision-Grade AI Implementation Vital for QA, Regulatory, and Governance Professionals Dublin, May 05, 2026 (GLOBE NEWSWIRE) -- The "Decision-Grade AI in GxP Environments: Governance, Validation and Regulator-Aligned Implementation" training has been added to ResearchAndMarkets.com's offering.

This recorded programme is designed for senior pharmaceutical leaders responsible for adopting, overseeing or governing AI and advanced analytics within regulated (GxP) environments.

As regulatory scrutiny of AI continues to increase, it focuses on decision-grade, regulator-aligned implementation - ensuring innovation is deployed safely, credibly and defensibly.

Rather than teaching technical coding or model development, the programme concentrates on governance frameworks, validation expectations, risk-based context-of-use thinking, and cross-functional accountability across Clinical Development, Pharmacovigilance, Quality, Regulatory and Medical functions.

Why This Programme Now

Key Differentiators

Programme Structure

The programme consists of eight on-demand modules (60-75 minutes each) plus an optional live virtual Q&A session. Modules can be taken individually or as a structured certification pathway.

Who Should Attend?

Speakers

Dr Laura Brown MBA is an independent pharmaceutical consultant with over 25 years' experience working across regulated pharma environments. Her work spans clinical development, quality, pharmacovigilance, regulatory and operational teams, supporting senior leaders in making defensible decisions within complex GxP systems.

She has delivered training and advisory programmes to professionals from organisations including Roche, MSD, Novo Nordisk, Bayer, Sanofi, Johnson & Johnson and GSK. Delegates have included Compliance Managers, QA Leaders, Pharmacovigilance Managers, Regulatory Affairs professionals and Medical Governance leads.

Laura recently spoke on Corporate Governance & Policy Frameworks for AI in Trials at a global clinical AI conference, focusing on internal AI oversight, validation alignment and regulator-ready documentation frameworks. She is also a visiting lecturer at Cranfield School of Management.

Tom Brown brings applied AI and data analytics experience, including work with the Bank of England and a six-month engagement with EY focused on AI and data analytics. He has completed formal AI study at the London School of Economics and has delivered AI-focused sessions to pharmaceutical audiences.

Together, the programme combines governance-led decision expertise with applied AI experience in regulated environments.

For more information about this training visit https://www.researchandmarkets.com/r/dkcwjs

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