In this session, attendees will learn about the concept of explainable AI and its significance in the development and deployment of AI systems. The speaker will cover industry use cases for explainable AI and discuss the various techniques and approaches that have been developed to make AI systems more transparent and interpretable. Attendees will also learn about the skills and knowledge needed to succeed in the field of explainable AI and how they can develop these skills through hands-on projects and experience. Overall, this session aims to provide a comprehensive understanding of explainable AI and its role in the AI industry.
Morgan Stanley
Assitant Vice President
Supreet is a Data Strategist and Data Scientist at Morgan Stanley where she is the product owner of various AI products and is responsible for building data science solutions as well. Before this role, she was a Technology and Data Science Consultant, where she worked on impactful data science use cases and built launch strategies for various pharmaceutical clients. She is also the founder of …
Supreet is a Data Strategist and Data Scientist at Morgan Stanley where she is the product owner of various AI products and is responsible for building data science solutions as well. Before this role, she was a Technology and Data Science Consultant, where she worked on impactful data science use cases and built launch strategies for various pharmaceutical clients. She is also the founder of DataBuzz, a community to engage tech enthusiasts. She is an ardent writer and speaker on data science and AI topics. She is also on the advisory board for Rutgers University MBS analytics program and other organizations. She advocates for women in technology and was selected as one of the Google WomenTech Makers ambassadors.
