add notes for the jiaozifs,etc.

Author: taoshengshi

.gitignore

@@ -8,6 +8,9 @@
 *.so
 *.dylib
 
+# goland
+*.idea
+
 # Test binary, built with `go test -c`
 *.test
 

docs/notes.md

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+# 初心
+
+GitData：IT & 基础设施生涯 的最后一件事情
+
+
+# Why
+
+Business Considerations Before Implementing AI | Technology Solutions | CompTIA
+https://connect.comptia.org/content/guides/business-considerations-before-implementing-ai#:~:text=AI%20projects%20typically%20take%20anywhere,can%20build%20an%20AI%20algorithm.
+
+Conducted in October 2019, 63% of the 745 respondents have already developed and deployed a machine learning model into production. On average, 40% of companies said it takes more than a month to deploy an ML model into production, 28% do so in eight to 30 days, while only 14% could do so in seven days or less.
+
+Add It Up: How Long Does a Machine Learning Deployment Take? - The New Stack
+https://thenewstack.io/add-it-up-how-long-does-a-machine-learning-deployment-take/
+
+How to put machine learning models into production - Stack Overflow
+https://stackoverflow.blog/2020/10/12/how-to-put-machine-learning-models-into-production/
+
+## 行业报告
+https://docs.google.com/presentation/d/156WpBF_rGvf4Ecg19oM1fyR51g4FAmHV3Zs0WLukrLQ/edit#slide=id.g24daeb7f4f0_0_4995
+Welcome to State of AI Report 2023
+https://www.stateof.ai/
+https://docs.google.com/presentation/d/156WpBF_rGvf4Ecg19oM1fyR51g4FAmHV3Zs0WLukrLQ/edit#slide=id.g24daeb7f4f0_0_3373
+
+us-ai-institute-state-of-ai-fifth-edition.pdf
+https://www2.deloitte.com/content/dam/Deloitte/us/Documents/deloitte-analytics/us-ai-institute-state-of-ai-fifth-edition.pdf
+AI in the Enterprise 2023 Report Analysis
+https://4625340.fs1.hubspotusercontent-na1.net/hubfs/4625340/AI%20in%20the%20Enterprise%202023%20Report%20Analysis%20(1)-1.pdf?__hstc=77250698.c2e92c9cd279ea7865de033c58899c47.1701011639777.1701011639777.1701011639777.1&__hssc=77250698.1.1701011639778&__hsfp=4098988196
+
+AI Adoption in the Enterprise 2022 – O’Reilly
+https://www.oreilly.com/radar/ai-adoption-in-the-enterprise-2022/
+
+
+# 竞品
+
+## XetHub
+https://about.xethub.com/
+We built a GitHub app that scales repos to 100 Terabytes : r/github
+https://www.reddit.com/r/github/comments/17wvaeq/we_built_a_github_app_that_scales_repos_to_100/
+
+
+## InfuseAI
+$4.3M | 3 yrs ago
+
+* InfuseAI is a company that focuses on optimizing artificial intelligence workflows in the technology sector. The company offers products that streamline machine learning operations, making it faster and more efficient for organizations to work with AI. Their services are primarily utilized in the medical, education, and manufacturing industries. It was founded in 2018 and is based in Taipei, Taiwan.  
+* demo:  PrimeHub Feature Showcase - YouTube
+  https://www.youtube.com/watch?v=t_nXF3l1MOY
+* PrimeHub in 1 minute - YouTube
+  https://www.youtube.com/watch?v=PL2J6KPijdw
+* 
+创始人的一点采访：
+Data Friends #1 — a day in the life of ML engineer ft. PinChun | by catcatcatcat | InfuseAI
+https://blog.infuseai.io/data-friends-1-a-day-in-the-life-of-ml-engineer-ft-pinchun-a71e5c124e4e
+
+
+
+## Datafold - Automated testing for data engineers 
+
+网站：https://www.datafold.com/ 
+
+有两个核心技术： 
+* Data Diff - Data Reliability Platform - Datafold
+  https://www.datafold.com/data-diff
+* Column-level Lineage - Data Reliability Platform - Datafold
+  https://www.datafold.com/column-level-lineage
+
+
+## Open Source Data Science Collaboration - DagsHub
+https://dagshub.com/
+
+
+## Home Page | Pachyderm
+https://www.pachyderm.com/
+
+
+# 方法
+
+The product approach to open source communities - Stack Overflow
+https://stackoverflow.blog/2023/11/08/the-product-approach-to-open-source-communities/