| Details of person submitting | |
| Name | Ashley Howard |
| Organisation | Pfizer |
| angie@delegant.co.uk | |
| Details of abstract | |
| Title of abstract | Optimized Learning in Clinical Data Management: How DM is adopting AI |
| Abstract | Artificial Intelligence is a present-day buzzword but how can we integrate and apply this advance in technology to our everyday Data Management processes. In this session we will explore how deep learning AI has the potential to transform Clinical Data Management as we know it. How can we leverage machines to not just perform repetitive data cleaning tasks but take on higher complexity activities in tandem with humans?
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| First learning objective | Understand Artificial Intelligence in relation to applications within Clinical Data Management |
| Second learning objective | Appreciate the complexities and challenges of embedding AI into common DM tasks/activities |
| Third learning objective | • Explore a specific use case of applying AI in the wider context of data cleaning |
| Presenter Details | |
| Name | Ashley Howard |
| Organisation | Pfizer |
| Job title | Associate Director, Asset Lead |