Regulatory Consideration for AI-Enabled QMS
Life Science companies must adopt Predictive Quality. This eBook, sponsored by Sparta Systems, discusses how industry should leverage FDA’s Good Machine Learning Practices (GMLP) to implement AI in order to drive improved productivity and intelligent decision-making while meeting regulatory requirements.
“The ability of artificial intelligence and machine learning software to learn from real-world feedback and improve its performance is spurring innovation and leading to the development of novel medical devices,” said Dr. Scott Gottlieb, MD, 23rd Commissioner, US FDA.
The use of AI and ML can enable Life Science organizations to harness data and turn it into intelligent and actionable insights that enable predictive quality. AI systems can process data from point solutions to glean intelligence and support decision-making.
In this eBook we also discuss:
- Why you cannot validate AI with outdated CSV models
- How AI is enabling the shift to predictive quality management
- Implications for the Life Sciences industry
Register to receive your complimentary copy.