Exploring AI's Role in Pharma's Biggest Systems – and the Skills That Will Matter Most
Join Bryan Ennis, Founder and Chief Quality Officer of Sware, and Jeff Brittain, former Head of IT, North America at Bayer, as they explore how AI is reshaping some of pharma's most critical systems and the skills that will be vital for future workforce success.
What You’ll Learn:
- Technology Innovation & Evolution: Hear Jeff’s insights on the ongoing evolution of tech and his experience with the FedEx Institute of Technology to the future of AI in pharma.
- Big Bets on AI: Dive into the transformative impact AI can have on pharma’s most expensive systems, especially ERP and supply chain.
- Flavors of AI: Learn about the different types of AI technologies, including GenAI, machine learning, deep learning, and inference.
- Information Security in the AI Era: Understand the crucial role of data protection as pharma companies implement AI-driven solutions.
- People-Centric AI: Discuss how AI is influencing corporate culture and the evolving skill sets that will define the next generation of workers.
- Ecosystems & Architecture: Discover the importance of embedding quality, like security, into pharma’s system architectures.
This conversation is a must-watch for pharma leaders who want to stay ahead of the curve in the rapidly evolving landscape of AI, technology innovation, and compliance. Gain practical insights and forward-looking perspectives that will help you understand the intersection of AI and the future of pharma systems.
Featured Resources
The convergence of AI and Quality Management marks a paradigm shift in how Life Sciences organizations meet their GxP obligations. Examine key challenges—from compliance complexities and validation demands to talent shortages and risk management concerns.
Read the WhitepaperAs the life sciences landscape rapidly evolves, technology adoption demands agile validation methods to maintain GxP compliance. Learn how organizations can shift from project-based validation to a process-driven approach, integrating validation into their Quality Management System.
Read the WhitepaperManual computer software validation processes cost life sciences organizations up to 30% in additional project budget. As companies struggle to keep up with a surge of app and software integrations, they incur validation debt: the mounting cost of stretched resources, blanket testing, and missed GxP requirements.
Download the EbookValidation Debt Stops Here
If your organization is ready to embrace the future of life sciences validation, we’re ready to help.