2023-12-01 –, Tech Stage
In this presentation, we will explore synthetic data's role in improving the performance of machine learning algorithms. We begin with a primer on synthetic data generation, outlining methodologies for generating high-fidelity datasets. The discussion will then pivot to the creation of synthetic data to bolster model accuracy, robustness, and to address critical concerns such as bias and fairness. Concluding with a discussion on its application, attendees will leave with a practical understanding of the benefits, hurdles, and best practices associated with the deployment of synthetic data in real-world scenarios.
Luca is the mastermind and chief architect of Clearbox’s AI technology. He holds a PhD in computational mathematics from the Delft University of Technology. He worked as a research consultant and software development lead for a consultancy firm for over 5 years in the Netherlands, serving clients in the safe critical industries in the United States, South Africa and Germany.
Luca's expertise lie in developing ML and DL algorithms for predictive analytics and process optimisation of complex business processes. He has also published several high-impact research papers on uncertainty quantification and sensitivity analysis in simulation models and has spoken at international conferences in the US, Japan, and Brazil.