Generative AI In Banking: Today, Tomorrow, And Beyond

Generative AI In Banking:
Today, Tomorrow, and Beyond

This report takes a close look at the generative AI opportunity in banking. It examines what the technology is and isn’t, how it is being used already, and how it may be used in the near and longer term. The goal is to provide a baseline for financial services executives who want to understand this technology and how it is poised to impact the industry.

Key Findings of the Research

Generative AI — also known as gen AI — is primarily useful for analyzing content and creating content.

However, research shows that it “hallucinates,” or draws inaccurate conclusions, between 1% and 30% of the time.

This creates a major barrier for highly regulated industries like financial services.

As a result, most of the use cases we are seeing currently are internal or maintain a human in the loop.

They include areas like knowledge management, content development, and customer service (with guardrails).

In the future, we expect use cases to evolve to include advice or action as the technology matures — and society grows more comfortable.

Generative AI In Banking: Today, Tomorrow, And Beyond

Generative AI In Banking: Today, Tomorrow, And Beyond

Generative AI In Banking: Today, Tomorrow, and Beyond

Key Findings of the Research

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Generative AI In Banking:
Today, Tomorrow, and Beyond

FILL OUT THE FORM BELOW TO DOWNLOAD YOUR FREE
Generative AI In Banking:
Today, Tomorrow, and Beyond