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Understand in 5 minutes! The author of the “standard” textbook on generative AI thoroughly explains the essence of it in a video!

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【Understand in 5 minutes! ] The author of the “standard” textbook on generative AI thoroughly explains the essence of it in a video! ​
Ric Telecom Co., Ltd. Press release: November 13, 2024 [Understand in 5 minutes! ] The author of the “standard” textbook on generative AI thoroughly explains the essence of it in a video! Notice of free talk by the author of “Practical Generative AI Textbook”
https://prcdn.freetls.fastly.net/release_image/41154/54/41154-54-f7f0ec159494d69ddde05413fdd7f702-1500×1945.jpg

Rick Telecom Co., Ltd. (Headquarters: Bunkyo-ku, Tokyo, President and CEO: Masazumi Tsuchioka) will start selling “Practical Generative AI Textbook” in March 2024, and the book systematically explains Generative AI. It has been passed down as a “textbook” by many readers. This time, Mr. Kamiya of Hitachi, Ltd., who was in charge of writing Chapter 3, is incised by Mr. Masked Analyze, a popular figure in the data analysis world. The important points and pitfalls of using generative AI in business are explained in an easy-to-understand interview format. Please take this opportunity to watch this special conversation. (It’s free)
“Practical Generative AI Textbook” Author Free Talk (1st: Appearance: Mr. Akihiro Kamiya, Hitachi, Ltd.) ) Distribution start: Tuesday, November 12, 2024 12:00~ Distribution URL:
https://www.youtube.com/watch?v=ziTP8lMMkhU << Book information >>
https://prcdn.freetls.fastly.net/release_image/41154/54/41154-54-34985023957b0b50d3598983bb53344a-1500×1945.jpg ・Book title: Practical generative AI textbook ~Learn with proven usage examples and know-how~ ・Supervision: Hitachi, Ltd. Generative AI Center ・Format: B5 variant format ・Number of pages: 228 pages ・List price: 2,420 yen (tax included) ・ISBN: 978-4-86594- 407-5
・Publication: March 2024 ・Publisher/Distributor: Rick Telecom Co., Ltd. ・Ric Telecom book site
https://www.ric.co.jp/book/data-sience/detail/2667 ・Amazon book site https://www.amazon.co.jp/dp/4865943986 *E-book version is also available. ●Assumed readership ・People in the corporate planning department, DX promotion department, and information system department who want to improve their business performance with generative AI ・System engineers who want to utilize generated AI for software development and system development ・General business personnel who want to fully utilize generation AI in their work ・Data scientists who want to increase productivity by utilizing generative AI ・Engineers who want to learn techniques for utilizing generative AI such as prompt engineering and RAG ●Table of contents [Basic knowledge] Chapter 1 What is generative AI? 1.1 What is generative AI? 1.2 Corporate initiatives 1.3 Hitachi Group initiatives Chapter 2 What is necessary for utilizing generative AI 2.1 Generation AI service 2.2 System and environment 2.3 Usage Guidelines 2.4 Digital human resources (prompt engineer) Chapter 3 How to proceed with a generative AI project 3.1 Project configuration process 3.2 Business analysis and identification of use cases 3.3 Specification and feasibility verification of utilization method 3.4 Development of generative AI system and operation in business [Use case edition] Chapter 4 General use within the company 4.1 Common business challenges 4.2 Application points in business 4.3 Preparation of draft materials 4.4 Idea generation (brainstorming partner) 4.5 Information collection (use as a search engine) 4.6 Creating functions for spreadsheet software 4.7 Prompt engineering Chapter 5 Improving system development productivity 5.1 Issues in system development 5.2 Application points in the system development process 5.3 Utilization examples in system development Chapter 6 Utilization in call centers 6.1 Overview of call center operations 6.2 Where to apply generation AI 6.3 Examples of use in call centers (RAG edition) Chapter 7 Utilization in maintenance and management of social infrastructure 7.1 Issues faced in maintaining and managing social infrastructure 7.2 Where to apply generation AI 7.3 Image generation of equipment abnormalities 7.4 Utilization in the railway metaverse 7.5 Utilization in the plant metaverse Chapter 8 Utilization by data scientists 8.1 Job content and challenges of data scientists 8.2 Application points in the data analysis process 8.3 Examples of use in data science operations 8.4 What you need to use for data science work [Final Chapter] Chapter 9 Future of generative AI 9.1 Further evolution and expanding applications

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