Page 138 - AI for Good-Innovate for Impact Final Report 2024

AI for Good-Innovate for Impact

30�3� Use case requirements

ITU-T Supplement Y.71 ITU-T Y.3000 series – Use Cases for Financial Technology
• BS-AIDE-UC30-REQ-001: It is critical that speech-speech Bank of Shanghai AI Digital
Employees, which provide access to financial services and guidance, are available in local
languages.
• BS-AIDE-UC30-REQ-002: It is critical that a Bank of Shanghai AI digital employee
integrates NLP and local language automatic speech recognition (ASR) to facilitate
efficient communication between customers and the bank.
• BS-AIDE-UC30-REQ-003: It is critical that Bank of Shanghai AI digital employees allow
customers to report their queries and needs remotely through voice or text in the local
language, which is critical given the complexity of the local language script and the
prevalent use of voice input among the elderly population.
• BS-AIDE-UC30-REQ-004: It is critical that the platform employs keyword detection
algorithms to extract essential information from customer inputs and automatically
generates comprehensive summary reports for the bank.

30�4� Sequence diagram

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