Join industry experts as they explore the cutting-edge of predictive analytics and artificial intelligence in pharmaceutical forecasting. This panel will delve into how these technologies are reshaping decision-making processes in drug development.
Panelists will compare the effectiveness of various forecasting models, discussing the integration of machine learning and traditional statistical methods.
Experts will debate the benefits and challenges of incorporating real-world data into forecasting models, including data integrity and privacy concerns.
The panel will address ethical issues arising from AI in forecasting, such as biases in data sets and the implications of predictive decision-making.
Monday September 30, 2024 1:45pm - 2:30pm EDT
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