AI Applications in Banking

Hello Data Explorers,

Adoption of AI in banking is advancing at a quick pace and banks are seeing benefits of automation and machine learning across their organizations. However, incorporating the new technology is not without some key challenges, including cost, data availability, and model explainability.

If you are in banking or would like to see how and where AI is being used in banking from a global perspective, join our discussion with Katherine on March 6th.

We will look at where banks are with AI, how they’re addressing these challenges, and talk about specific practical use cases of AI making an impact.

What We Will Cover:

• Status of AI Adoption in Banking
• Challenges of AI in banking and how they’re being addressed
• Applications of AI in banking

Speaker's Bio:
Katherine Taylor is a data scientist in the SAS Global Technology Practice for Artificial Intelligence and Machine Learning. Katherine has many years’ experience doing quantitative analysis, primarily in energy and banking. Katherine’s current role involves researching and developing applications of AI in an industry that are practical, understandable, and deliver tangible benefits of the technology. She works closely with SAS Research and Development and SAS customers to connect the technology with the market and the market with technical understanding.