Loading...
|
Please use this identifier to cite or link to this item:
https://nccur.lib.nccu.edu.tw/handle/140.119/146483
|
Title: | DEEP FLOW AI與自動化機器學習平台 DEEP FLOW AI/ML PLATFORM |
Authors: | 粟郁杉 Shu, Yu Shan |
Contributors: | 吳文傑 Wu, Jack 粟郁杉 Shu, Yu Shan |
Keywords: | 人工智能 自動機器學習 MLOps DeepFlow 人工智能發明 AI AutoML MLOps DeepFlow InventAI |
Date: | 2023 |
Issue Date: | 2023-08-02 13:44:01 (UTC+8) |
Abstract: | This business plan is about the business analysis of DeepFlow, a product of InventAI, which is a startup team of Chunghwa Telecom Co., Ltd. That I currently serve as the Head of Business Development for the team.
DeepFlow is a professional AI/ML model lifecycle management platform (MLOps), which also has automated machine learning functions (AutoML). Currently, it mainly serves data scientists and AI engineers, and has a complete workflow. Assist them to accmplish their daily work smoothly. Functions include: a comprehensive management platform for model development, training, inference, and deployment functions, making it easier for them to collaborate across teams. Manage the development tools such as model images and kits that need to be used during the model development process. Manage different versions of the training model, and the health management of the model after it goes online.
This project report, in addition to using credible AI survey report data, conducts external market opportunity and risk analysis. Also study the potential competitors in domestic market. Product internal analysis, using STP analysis, starting from product strategy, main users, and market positioning, and analyzing DeepFlow`s product features through 4P analysis.
Although AI products themselves have high technical content, it is not easy to quickly absorb and understand. I hope that through this business analysis, more people can understand that the sales of AI products are just like most commercial software. The core value is to solve human problems. I believe that technology always comes from human nature, and AI is an auxiliary tool, not a robot that replaces human beings. |
Reference: | Hive Capital "Taiwan AI Industry Trend Report 2022"
Hive Capital released "Taiwan AI Industry Trend Report 2022": AI applications are more mature, and two AI services have become the most popular
https://meet.bnext.com.tw/articles/view/48919?
IDC predicts that AI spending in the Asia-Pacific region will reach US$32 billion in 2025, and the Taiwan market continues to grow
https://iknow.stpi.narl.org.tw/Post/Read.aspx?PostID=19040
Taipei, April 8, 2022 - According to IDC`s latest "Worldwide Artificial Intelligence Spending Guide" research, the Asia-Pacific region (excluding Japan) will increase its spending on AI systems from US$17.6 billion in 2022 to approximately US$3.2 billion in 2025.
(It is estimated that the revenue growth rate from 2022 to 2025 will be 1.81 times, and this research uses a conservative value of 1.5 times to estimate)https://iknow.stpi.narl.org.tw/Post/Read.aspx?PostID=19040
Global artificial intelligence software market size
( Resource from IDC;ITRI Industrial Economics and Knowledge Center)
Hype cycle for artificial intelligence, 2022
https://www.linkedin.com/pulse/whats-new-artificial-intelligence-from-gartner-hype-cycle-abdoullaev/
Enterprise ai maturity level2022
( Resource from Hive Capital "Taiwan AI Industry Trend Report 2022")
AI Application Trends 2022
( Resource from Hive Capital "Taiwan AI Industry Trend Report 2022")
2020 大中華區人工智慧成熟度調查https://assets.ey.com/content/dam/ey-sites/ey-com/zh_tw/news/2020/9/ey-ms-ai-report-2020.pdf
2020-21_CIO大調查https://www.cio.com.tw/2020-21-cio-survey-report-pdf-download/
https://www.inventai.com.tw/
https://www.appier.com/en/
https://mobagel.com/
https://www.profetai.com/
https://www.infuseai.io/ |
Description: | 碩士 國立政治大學 國際經營管理英語碩士學位學程(IMBA) 108933027 |
Source URI: | http://thesis.lib.nccu.edu.tw/record/#G0108933027 |
Data Type: | thesis |
Appears in Collections: | [國際經營管理英語碩士學程IMBA] 學位論文
|
Files in This Item:
File |
Size | Format | |
index.html | 0Kb | HTML2 | 138 | View/Open |
|
All items in 政大典藏 are protected by copyright, with all rights reserved.
|