About
The NISS AI, Data Science, and Statistics in Practice is a monthly event series will bring together leading experts from industry and academia to discuss the latest advances and practical applications in AI, data science, and statistics. Each session will feature a keynote presentation on cutting-edge topics, where attendees can engage with speakers on the challenges and opportunities in applying these technologies in real-world scenarios. This series is intended for professionals, researchers, and students interested in the intersection of AI, data science, and statistics, offering insights into how these fields are shaping various industries. The series is designed to provide participants with exposure to and understanding of how modern data analytic methods are being applied in real-world scenarios across various industries, offering both theoretical insights, practical examples, and discussion of issues impacting .
Featured Topics:
- Veridical Data Science
- Statistics and Experimentation Needs in Industry
- Generative AI for Use in Industry
- Causal AI in Finance and Technology Industries
- Uncertainty Quantification for Random Forests
- Deep Learning Methods for Closed-Loop Neuromodulation
- Machine Learning for Airborne Biological Hazard Detection
- Causal Inference in Marketing Analytics
- Practical Return on AI Investment