Online Class Notes (Li)

Vocabulary

server – fu wu qi

highly/extremely competitive – competition is high

one-time cost/service – just once

Malaysia – ma lai xi ya

Grammar

ends in -ial – adj

ex. financial, social

It’s the first time we have discussions with them.

It’s the/our first time having discussions with them.

We upload our deployment service into clouder service.

We upload our deployment service onto the cloud service.

They are in financial but they don’t have same requirement.

They are in the finance industry but they don’t have the same requirements.

Thank you for coming the meeting today.

Per last friday, we had some discussion, i realized for business department, they don’t know who we are and what can we do for DBS. so i wanner use 2minutes to quick introduce our business.

ZhuiYi is a technology-advanced company specialized in NLP area, we provide different NLP products for our client, such as AI-bot, Voice-bot, Ai-surveillance, digital human and others. So far, we have more than 400 clients, and most of them is in Financial fields, like ICBC, AIA… We have cooperated wi half of the top 500 banks in the world.

For DBS project, we would provide our AI-surveillance system, it looks like a digital “inspector” and the main function is to check whether the conversation between your agent and client is in compliance with your internal requirement. Per our past experience, we think our system can help you monitor whether your agent is polite, whether they speak some words to overcommitted your client, or whether they verify your customers’ identity based on your SOP. As there are different AI-rules could be used to serve your requirements. For example, if you wanner check whether your account manager speak dirty language, we can configure keyword database, or whether they remind client some necessary finical risks, we can use semantic labels.

The core value of AI-surveillance platform is to reduce our inspector’s workload as it can show the inspection result within a short time, and it have ability to recognize the conversation intention even though people have different language or expression sentence.

So in usual, we suppose to know our client ：how to monitor in place, whether they have AI tools to use, or if they do manual inspection work, do you have some expectation for our system?

Revised:

Thank you for coming to the meeting/Thanks for joining today.

Per last Friday, we had some discussions, and I have noticed that some business departments don’t understand who we are and what can we do for DBS. so I want to spend 2 minutes to quickly introduce our business/ourselves.

ZhuiYi is a technologically-advanced company which specializes in the NLP area. We provide a wide range of NLP products for our clients, such as the AI-bot, Voice-bot, Ai-surveillance system, digital human and some others. So far, we have more than 400 clients, and most of them are in the Financial field, such as ICBC, AIA and so on.We have cooperated at least half of the top 500 banks in the world.

For this DBS project, we would be providing our AI-surveillance system. It is essentially a digital “inspector”, which serves to ensure that the conversation between your agent and client is in compliance with your internal requirements. Based on our past experiences, we believe that our system can help you ensure that your agents are polite, they remain committed to your clients, and they abide to your SOP by verifying your customers’ identity for example. As different AI-rules could be embedded to serve your requirements. For example, we can set up a keyword database to monitor your employees’ use of inappropriate language.

The core value of  our AI-surveillance platform is to reduce our inspector’s workload as it can reveal  the inspection result quickly. It is also capable of recognizing intention even though people have different language expressions.

Our role is to know our client and serve their needs. What are your expectations for our system? What kind of measures do you have in place for monitoring offline?