How is the generative AI “Copilot” used in companies? Introducing usage examples – PC Watch

2024-03-18 12:09:30

Microsoft Japan Co., Ltd.On the 18th, we held an event called “GenAI Customer Day” to introduce the latest use cases of partner companies regarding the generative AI function “Microsoft Copilot”.

At the event, Mr. Tei Okazaki, Executive Officer, Managing Director and General Manager of Cloud & AI Solutions Business Headquarters of the company took the stage, as well as Mr. Yukimasa Goto, Director and Senior Managing Executive Officer of Japan Business Systems, Inc. (JBS) in charge of Business Group and Digital Sales Headquarters, and Benesse Corporation. Hidetomo Hashimoto, Senior Managing Executive Officer, CDXO and General Manager of Digital Innovation Partners, Holdings, and Keiichi Makizono, Senior Managing Executive Officer, Head of IT, SoftBank Corp., and CIO, were invited as guests.

Microsoft Japan Co., Ltd. Executive Officer, Managing Director, Head of Cloud & AI Solutions Business Headquarters, Mr. Sadao Okazaki

At the beginning, Mr. Okazaki pointed out that the maturity level of generative AI in business is increasing, and said that from the preparatory stage of exploring how to use it in business, there is a need to proactively utilize AI to improve business efficiency. He said that he has moved to the stage where he plans to do so.

In addition, regarding the use of Microsoft Copilot in companies, companies can use AI as a service with “Copilot for Microsoft 365” or create their own AI using “Microsoft Copilot Studio” or “Azure OpenAI Service” and incorporate it into their own systems. He pointed out two main directions.

Copilot for Microsoft 365 is a generation AI function implemented in Microsoft 365 applications such as Word and Excel, Microsoft Copilot Studio is a comprehensive platform that allows users to develop their own custom Copilot with low code, and Azure OpenAI Service is a natural language processing and It is an AI service that can run large-scale language models that can generate images, code, etc. from a secure environment.

Mr. Yukimasa Goto, Director and Senior Managing Executive Officer, Head of Business Group, Digital Sales Headquarters, Japan Business Systems Co., Ltd.

Mr. Goto introduced an example of the use of Copilot for Microsoft 365 at JBS. Specifically, examples of implementation include creating minutes and checking contracts. In particular, when checking contracts, important wording and items can be checked all at once using AI, reducing work time by approximately 66% compared to conventional methods. It was completed.

Additionally, by introducing generative AI in seminar-related work in the marketing department, the company says it has reduced work time by regarding 16 hours per month and improved the quality of work. JBS has increased individual value creation time by 36% by implementing Copilot for Microsoft 365.

According to him, JBS was the first company in the domestic IT services industry to implement Copilot for Microsoft 365 company-wide. The implementation aims to allow employees to focus more on their core tasks, increase productivity, expand the possibilities of the work environment, and create a culture that uses AI on a daily basis.

Mr. Hidetomo Hashimoto, Senior Managing Executive Officer, CDXO and General Manager of Digital Innovation Partners, Benesse Holdings, Inc.

Mr. Hashimoto introduced an example of the use of Microsoft Copilot Studio at Benesse Holdings. Benesse Holdings began implementing generation AI in April last year, and in October last year, it developed its own “in-house consultation AI” that reduces work time such as searching for information within the company and consulting with each department. and has started test operation.

Internal consultation AI

Through the operation of internal consultation AI, we realized that it is important to improve datasets in order to obtain highly accurate answers, and we decided to use Microsoft Copilot Studio to optimize datasets, analyze logs, and quickly incorporate user feedback. It is said that it was implemented in-house for internal consultation AI.

He cited the advantages of Microsoft Copilot Studio as being able to handle it with no code and being inexpensive. As for the future development of internal consultation AI, the company aims to utilize it in more advanced work by addressing notation variations between users during input, improving the UX, and building better data sets. There is.

Keiichi Makizono, Senior Managing Executive Officer and CIO, IT Head of SoftBank Corp.

Mr. Makizono introduced the construction of a generative AI environment for internal operations and call center operations as an example of SoftBank’s use of Azure OpenAI Service.

In internal operations, we are focusing on creating an environment where employees can use AI efficiently, and all departments are now able to conduct development using APIs. He also stated that when using generative AI in business, it is important to establish governance and systems, share information, and enhance AI-related education, and that he is building a promotion system to support these.

Regarding call center operations, we are collaborating with Microsoft Japan to develop an AI chatbot that enables flexible and highly accurate customer response.

The two companies needed LLM to respond flexibly to complex requests in call centers, depending on the content of conversations with customers, which is different from the traditional flow-following type that responds in a fixed order and with fixed scripts. We aim to develop an LLM autonomous thinking system that references various functions and data sources. Chatbots that adopt the LLM autonomous thinking type are scheduled to be introduced gradually from July 2024 onwards.

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