Explore the Future of Artificial Intelligence (AI) in Life Sciences with Exclusive On-Demand Learning Through ISPE Membership

AI is no longer a future possibility. Across the life sciences sectors, organizations are using AI to accelerate facility and process design, optimize manufacturing operations, strengthen quality systems, improve investigations, and support compliance in increasingly complex regulatory environments. As AI adoption continues to expand, understanding how to apply these technologies responsibly, effectively, and compliantly has become an essential professional capability.

To help professionals stay ahead, ISPE is offering new and renewing members access to a curated collection of expert-led, on-demand conference sessions, including a dedicated Artificial Intelligence learning pathway. Available as part of ISPE membership, these 18 AI-focused sessions feature practical implementation strategies, real-world case studies, emerging regulatory considerations, and lessons learned from leading pharmaceutical organizations actively deploying AI across the product lifecycle.*

Whether you work in manufacturing, quality, engineering, automation, validation, regulatory affairs, digital transformation, or leadership, this learning pathway provides valuable insights into how AI is being used today, what challenges organizations must address, and how the industry is balancing innovation with patient safety, product quality, and compliance.

Expert-Led AI Sessions Available with ISPE Membership Registration or Renewal

• Accelerating Greenfield Project with AI-Driven Process: Discover how AI-powered process simulation and risk assessment can dramatically accelerate greenfield project development. Through a real-world Kindeva case study, this session demonstrates how a novel “frame-by-frame risk profiling” approach helps identify process risks earlier, improve process design, and accelerate plant readiness without compromising safety or compliance.

• Leveraging Generative AI in GxP Regulated Environments: Generative AI and large language models are creating new opportunities across regulated operations. Learn how organizations are applying AI to support quality record management, complaints, deviations, and operational workflows while maintaining compliance and managing potential risks through human oversight.

• New GAMP® AI Guide Overview and Key Concepts: Gain an introduction to the ISPE GAMP® Guide: Artificial Intelligence and its risk-based approach to managing AI-enabled GxP computerized systems. The session provides valuable insights into emerging industry guidance that supports compliant AI adoption at scale.
• Validation Consideration for AI-Driven Automated Environmental Monitoring Plate Reading: Explore how AI-enabled automated plate reading technologies are modernizing environmental monitoring programs. This session examines validation strategies, data governance considerations, and regulatory expectations associated with implementing AI-driven microbiological monitoring systems.
• Governance and Compliance of AI/Machine Learning (ML) Foundation Models: As AI foundation models become more prevalent in healthcare and life sciences, organizations must address concerns related to validation, transparency, bias, and regulatory compliance. This presentation examines best practices for developing, validating, and governing AI/ML systems in highly regulated environments.
• The Human Factors of AI/ML: AI success depends on more than technology alone. This session explores the critical role of human oversight, ethical decision-making, accountability, and transparency in AI development and deployment. Attendees gain practical strategies for establishing effective human-in-the-loop controls while supporting GxP compliance.
• Leveraging Autonomous AI Systems in Production Optimization: Learn how autonomous AI applications can transform manufacturing performance by continuously monitoring production data, identifying optimization opportunities, and supporting real-time operational decision-making. The session highlights lessons learned from implementing AI-driven production monitoring in 24/7 pharmaceutical operations.
• AI as an Enabler for a Sustainable Quality Transformation: Quality organizations are increasingly embracing AI to simplify, standardize, and automate key processes. Through Takeda case studies, attendees will see how AI is supporting initiatives such as accelerated batch release, investigation management, and annual product quality reviews while driving sustainable quality improvements.
• Accelerating Biomanufacturing Modular Design and AI Impact: This session explores how modular facility design, automation frameworks, and AI technologies are converging to help biopharmaceutical organizations bring new manufacturing capacity online faster. Discover how digitalization and advanced analytics are enabling greater operational flexibility and performance.
• Cognitive Laboratory: Leveraging AI to Decode Biopharma: From drug discovery and clinical development to manufacturing and supply chain operations, AI is creating opportunities across the pharmaceutical value chain. Through real-world examples, this presentation examines how intelligent automation is improving efficiency, decision-making, and innovation throughout the industry.
• Enabling AI and ML with a Data-Centric Architecture: Successful AI begins with strong data foundations. This session demonstrates how data-centric manufacturing architectures connect laboratory, office, and production environments to enable advanced analytics, machine learning, and real-time process optimization.
• How AI Enables True Continued Process Verification (CPV) for Real-Time Release: Continued process verification is evolving through the integration of AI, automation, and process analytical technology. Learn how AI-driven predictive control supports real-time release strategies, improves process understanding, and enhances product quality through practical manufacturing case studies.
• Autonomous AI — Building AI for Control and Advisory: As experienced operators retire, many organizations face knowledge retention challenges. This presentation explores how reinforcement learning and process simulation can capture operational expertise, enabling AI systems to support scheduling, process control, and operator decision-making.
• Managing the Compliance of Agentic AI in GxP Process: Agentic AI introduces new possibilities for automation, but it also brings new compliance considerations. This session explores validation, auditability, data integrity, governance, and risk management strategies needed to deploy autonomous AI responsibly within regulated environments.
• A Practical Guide to AI Deployment in a GMP Environment: Implementing AI successfully requires more than technology. This practical session outlines the essential building blocks for sustainable deployment, including workforce readiness, business case development, data preparation, testing strategies, audit readiness, and long-term performance monitoring.
• Strategic AI Integration in GxP Environments: Takeda’s Path to Operational Excellence: Learn how Takeda is strategically integrating AI across regulated operations to improve quality, efficiency, and compliance. The session highlights practical applications, governance frameworks, employee enablement initiatives, and approaches to responsible AI implementation.
• Shaping the Future of Pharma: The Next Generation Meets AI | Powered by ISPE Women in Pharma®: As digital-native professionals enter the workforce, AI is redefining how teams innovate, collaborate, and solve problems. This thought-provoking session explores how emerging talent and intelligent technologies are together shaping the future of pharmaceutical manufacturing.
• Evolution of Global Investigations with AI: Discover how AI tools are helping accelerate complex global investigations. Through examples from Takeda, attendees will learn how technologies such as generative AI and Monte Carlo-based analysis are improving root cause investigations, enhancing decision-making, and supporting patient-focused outcomes.

Building the Skills Pharma Needs Next

Collectively, these sessions demonstrate how AI is moving beyond experimentation and becoming a practical business enabler across pharmaceutical operations. From manufacturing and quality assurance to validation, compliance, and workforce development, the learning pathway highlights both the opportunities and responsibilities that accompany AI adoption.

Participants will gain exposure to real-world implementation strategies, emerging regulatory expectations, and proven approaches for balancing innovation with compliance. Equally important, the sessions emphasize the foundational elements required for success, including data governance, human oversight, validation frameworks, and organizational readiness.

For professionals looking to strengthen their digital capabilities, support operational excellence, and prepare for the future of Pharma 4.0™, this on-demand content offers a unique opportunity to learn directly from industry leaders who are actively shaping AI adoption across the life sciences sector.

Use code ISPE26AI to access the recordings when you join or renew your membership.*

Learn about the three learning pathways available to choose from.

Join or renew today.

*Restrictions apply.