Which companies collaborated to conduct this technical verification?

NTT Data Advanced Technology Corporation and NTT Data Financial Technology Corporation conducted the PoC.

What environment was used to test the utilization of the local LLM?

The technical verification utilized a local LLM in a closed on-premises environment.

What was tested to evaluate the effectiveness of using generative AI?

The PoC tested its effectiveness in checking design document consistency, improving quality, and accelerating modification work.

What are the aims of conducting this technical verification?

The PoC aimed to strengthen governance in financial institutions and improve cost predictability.

What are the specific hurdles faced by financial institutions in using generative AI?

The hurdles include high costs from pay-as-you-go billing, budget management difficulties, data protection, and ensuring governance.

AI News NQ Analysis

NTT Data Advanced Technology Verifies the Use of Generative AI for Financial System Development Using a Local LLM Environment

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AI Summary (NQ-processed)

NTT Data Advanced Technology and NTT Data Financial Technology conducted a Proof of Concept (PoC) for a local LLM in a closed on-premises environment to safely streamline financial system development.

AI Analysis

Frequently Asked Questions

Q: Which companies collaborated to conduct this technical verification?: A: NTT Data Advanced Technology Corporation and NTT Data Financial Technology Corporation conducted the PoC.
Q: What environment was used to test the utilization of the local LLM?: A: The technical verification utilized a local LLM in a closed on-premises environment.
Q: What was tested to evaluate the effectiveness of using generative AI?: A: The PoC tested its effectiveness in checking design document consistency, improving quality, and accelerating modification work.
Q: What are the aims of conducting this technical verification?: A: The PoC aimed to strengthen governance in financial institutions and improve cost predictability.
Q: What are the specific hurdles faced by financial institutions in using generative AI?: A: The hurdles include high costs from pay-as-you-go billing, budget management difficulties, data protection, and ensuring governance.