As artificial intelligence and data science continue to revolutionize industries, understanding the complexities of training AI and leveraging data science methodologies has become essential for creating effective and ethical systems. This panel will feature top experts in AI, machine learning, and data science who will discuss their approaches to training AI, managing data, addressing ethical concerns, and the innovations shaping the future of these fields. Panelists will dive into AI model training techniques, data science strategies, and how these intersect to drive real-world solutions that are powerful, scalable, and trustworthy.
Panelists
- Ankur Sharma, Head of Medical Devices and Digital, Radiology, Bayer
- Ian Blunt, VP of Advanced Analytics, Highmark Health
- Paul Nielsen, Managing Director, Near Earth Autonomy
- Eric Perz, Vice President, Data Science, Brunner
Moderated by Andrew W. Hannah, Chairperson - University of Pittsburgh's Responsible Data Science Advisory Board
