2024.9.4
Events and Seminars
5 secrets to success you need to know to avoid failure when introducing generative AI ~AI specialists talk about the importance of developing generative AI talent~
Masahiro Chaen and Kotaro Takahashi, two of the foremost experts in the AI industry, will thoroughly explain the five secrets to avoid failure when implementing generative AI. They will provide practical knowledge, covering a wide range of topics from the latest AI trends to specific usage methods and points to note when implementing it.
In addition, all participants will receive a copy of "100 Prompts You Can Use at Work Starting Today" and a "Textbook for Introducing AI." This is a valuable opportunity to acquire the essential knowledge and skills to succeed in the AI era in just 60 minutes.
In addition, this seminar will provide a detailed explanation of how to use "Corporate Reskilling®︎" to develop AI talent that can be put to work in a short period of time. This is a must-see for all companies that want to survive in the AI era.
1. Seminar archive video
table of contents
0:00 Avilen Company and self-introduction
4:20 Trends and potential areas of generative AI
12:56 Business process reform using generative AI
26:26 Human resource development for generative AI
30:35 Q&A
32:51 Digirise Company Introduction
38:14 First of all, what is generative AI?
45:42 Examples of generative AI in use
59:15 Explanation of seminar participation benefits
2. Seminar Transcription Article
table of contents
Introduction
The emergence of generative AI is revolutionizing the business world. Its potential is immeasurable, and many companies have high hopes for improved operational efficiency and the creation of new business models. However, there are many cases where implementation has failed, and a major issue cited as the cause is a "lack of human resources."
In this article, we will provide a detailed explanation of the secrets to successfully introducing generative AI and the importance of human resource development, based on the contents of the online seminar "Five Secrets of Success You Need to Know to Avoid Failure When Introducing Generative AI - AI Specialists Discuss the Importance of Human Resource Development for Generative AI," which was presented by Kotaro Takahashi of AVILEN Inc. and Masahiro Chaen of Digirise Inc.
Trends and potential areas of generative AI
In the first half of the seminar, AVILEN's Takahashi explained the current situation and challenges surrounding the introduction of generative AI.
The growing labor shortage and the rise of generative AI
Japan is facing a serious labor shortage, and the decline in the working population is accelerating worldwide. Under these circumstances, generative AI is attracting attention as a trump card to make up for the labor shortage. The size of the generative AI market is predicted to be 667.9 billion yen in 2025 and is expected to reach 1.7774 trillion yen in 2030, and demand is expected to continue to expand in the future.
Anti-patterns and key takeaways for implementing generative AI
Generative AI is a powerful tool, but if it is introduced without proper implementation planning and personnel training, it may not produce the expected results, and may even lead to reduced operational efficiency and increased burden on employees.
Takahashi pointed out the following four anti-patterns as common examples of failure when introducing generative AI.
- "Starting without defining the use case" Cases where a tool is introduced without a clear purpose or problem to be solved
- Cases where the initiative is not implemented thoroughly, or where the implementation is done without any deadline, or where the importance of changing business processes is not recognized.
- "Everyone is a beginner" without developing core personnel In order to promote business efficiency through the introduction of generative AI, it is necessary to develop core personnel with specialized knowledge. If it is introduced with everyone's participation, the effect may be weakened and the burden may increase.
- "Reinventing the wheel" by building existing tools
To avoid falling into these anti-patterns, it’s important to keep the following five points in mind:
- Selection and concentration/optimized resource allocation Rather than introducing generative AI into every business process, it is important to focus resources on those tasks where it can be expected to be effective.
- Process Analysis and ImplementationGenerative AI is not an all-purpose tool. It is necessary to review business processes, understand the strengths and weaknesses of generative AI, and design effective processes.
- Digitalization of business processes + data accumulationIf business processes are not digitized and data is not accumulated, the full effect of generative AI cannot be realized.
- To improve business efficiency by using AI, it is essential to improve the user interface. A system that follows traditional procedures may reduce the effectiveness of the system.
- Clarifying the necessary personnel and developing themTo successfully introduce AI, it is important to clarify the necessary personnel and skills and create an appropriate training plan. "Leaving it to OJT," as with the introduction of existing tools, may not be effective enough.
Digirise Company Introduction
Following Takahashi's presentation, Chaen from Digirise introduced specific examples of business efficiency improvements.
The current status and challenges of generative AI adoption in Japanese companies
While the adoption of generative AI is progressing globally, it must be said that Japanese companies are lagging behind. According to data presented at the seminar, while 90% of major American companies have adopted ChatGPT, only about 10% of Japanese prime-listed companies have.
Examples of generative AI in use
The seminar will explain specific ways to utilize AI.
① Automatic email creation
② Automatic generation of minutes
3) Practice sales negotiations with AI
④ Creation of personnel evaluation sheets
⑤Quick creation of proposal materials
⑥Improve efficiency of Excel work
The current state of generative AI: Why Japan is not making much progress with its adoption
While generative AI is attracting attention worldwide, its adoption in Japanese companies is said to be lagging behind. The first reason for this is the lack of high-performance generative AI tools that support the Japanese language.
In addition, due to security concerns, companies that handle confidential information are cautious about adopting generative AI, and the lack of personnel with the knowledge and know-how to use it is also a factor preventing its adoption.
Corporate Reskilling
To solve these issues and promote the adoption of generative AI in Japanese companies, Digirise offers a unique service called "Corporate Reskilling®."
Corporate Reskilling®
・① ChatGPT, specialized for corporate security
・② Workshop-style AI training to enable practical use in business
We provide the following two points.
▼The above two services provided by our company are eligible for subsidies refunded from the government.
Now, while keeping costs down,
1. Promoting your company's use of AI and
②We can take on the challenge of producing AI talent.
Training content can be customized to suit the needs and challenges of each company. We can flexibly respond to requests for training specialized for specific business processes or specific AI tools.
summary
Generative AI is a technology that has the potential to bring about major changes in business, but to be successful, the following points are important:
- Clarify objectives and goals, and create a strategic implementation plan
- Review business processes and utilize generative AI in its areas of expertise
- Implementing thorough security measures and building a safe operational system
- Develop the necessary human resources and create a system that enables the entire organization to use generative AI
- Even after implementation, we will continue to evaluate and improve the tool to maximize its effectiveness.
Generative AI is still a developing technology, but it is evolving at a remarkable pace, and new tools and services are likely to continue to emerge, with the potential to dramatically change the way we work.
We hope that by using the information presented in this article, you will be able to introduce generative AI into your business and maximize its benefits.