Featured Topics

The “Case Studies: Implementation” track highlights grounded, actionable examples of how artificial intelligence and related digital tools are being applied within regulated life sciences environments to solve real operational and quality challenges. Sessions in this track focus on mapping the journey from strategy and pilot to production-ready deployment, showcasing how AI-enabled systems—such as automated inspection, predictive analytics, model-assisted process control, and hybrid digital twins—were integrated into existing processes, governed for compliance, and scaled across functional areas. Attendees will hear from organizations that have navigated regulatory expectations, quality assurance, validation, and change management to deliver measurable business and compliance outcomes, drawing directly from real project experiences that illustrate both successes and lessons learned.

The “Case Studies: Process Control and Manufacturing Design” track offers a deep dive into real-world applications of advanced modeling, artificial intelligence, and digital technologies to enhance pharmaceutical manufacturing design and operational control. Sessions in this track illustrate practical journeys from concept to implementation—ranging from deploying AI for automated visual inspection in high-risk GMP environments, to developing hybrid bioprocess digital twins that span R&D through commercial operations, and to leveraging deterministic models augmented with AI for more robust equipment and process design. The track also explores strategies to establish credibility and trustworthiness of AI tools in pharmaceutical operations and showcases how vision AI can improve aseptic manufacturing performance and compliance.

The “Validation and GAMP” track focuses on the intersection of regulated systems validation and Good Automated Manufacturing Practice (GAMP®) principles within the context of AI and digital transformation in life sciences. This track brings together practitioners, quality leaders, and regulatory experts to explore risk-based validation frameworks, GxP computerized system compliance, and emerging guidance such as the ISPE GAMP® AI Guide and Digital Validation Good Practice Guide. Sessions highlight how organizations are embedding compliance-by-design into AI-enabled and digital systems, applying risk-based testing, managing data integrity (ALCOA++), and preparing artifacts that support audit readiness and regulatory defense. Real-world case studies and examples illustrate common validation challenges with AI tools and demonstrate strategies to translate regulatory expectations into practical, robust validation plans aligned with GAMP 5 and related guidance.

The “Workforce Preparedness and Organizational Readiness” track focuses on equipping life sciences professionals and organizations to successfully adopt, govern, and scale artificial intelligence and digital technologies within regulated environments. Through a series of sessions grounded in real-world implementations and strategic frameworks, this track highlights how companies are building AI-ready cultures, developing multi-year capability roadmaps, and redefining workforce roles to align people, processes, and technology for sustained innovation. Presentations explore actionable strategies for embedding AI into performance goals, fostering skills development through role-specific training and communities of practice, and creating governance structures that balance innovation with quality and compliance.