Creating an AI-friendly Culture Is a Key Trend for Data Leaders

Meera Dugar, VP, Consumer and Community Banking (CCB) at JPMorganChase (JPMC), speaks with Alexandra Sawyer, Director at Guidehouse, in a video interview about challenges around creating a data and AI culture, balancing regulatory risk with AI adoption, and top trends data leaders should be looking out for.

Data leaders, according to Dugar, face unique challenges, primarily in fostering an environment and culture of AI and data awareness within their organizations. This requires a top-down approach to disseminate knowledge and real use cases for AI models. By doing so, they can encourage the adoption of AI technologies and offer customers initial experiences with these models.

Dugar emphasizes that collecting feedback from these initial experiences is crucial. It allows organizations to refine the models and create a robust human feedback loop. This process not only strengthens the knowledge base but also helps in minimizing false positives and ensuring data accuracy.

When asked about managing the regulatory risk around the application and adoption of AI models, Dugar stresses the importance of ensuring data security by making sure data is securely containerized and preventing any data leakage. She points out that when providing investment recommendations, it is crucial to maintain transparency and trust with customers. This transparency, according to Dugar, is central to building strong customer partnerships and trust in AI-driven systems.

Listen to the full interview below!