Artificial Intelligence Basics: Artificial Intelligence Cloud Service (Alaas)

1. Concept introduction

Artificial intelligence cloud service (AI as a Service) is the current mainstream artificial intelligence platform service method. It will accurately divide several common artificial intelligence services and pass The cloud provides individual or packaged services. The model is similar to the blog in WordPress. There are many online plug-ins. Users can download and install the blog plug-ins they need for free or for a fee according to their needs. Common domestic cases include Alibaba Cloud, Huawei Cloud, Tencent Cloud, and Baidu Cloud, all of which have their own artificial intelligence service platforms.

2. What problems does artificial intelligence cloud service solve?

Cloud service is deployed in the cloud and is not a private deployment method. It mainly solves the following problems:

2.1 Saving deployment costs

Traditional artificial intelligence service deployment The operating cost is very high

2.2 Massive data and machine learning

Future artificial intelligence must be able to process tens of billions or even hundreds of billions of data at the same time, and it also needs to perform natural language processing or run machine learning Model is the most ideal solution to be processed in the cloud.

2.3 Reduce the cost for users to use artificial intelligence services

Using intelligent services deployed in the cloud, users do not need to invest a lot of energy and software and hardware costs. Just purchase the services you need on demand through the platform and simply connect the system with your company's products.

3. Types of artificial intelligence cloud services

are divided into public cloud, private cloud, and hybrid cloud based on deployment methods

3.1 Public cloud

Yes It refers to placing all the resources of the service on the public cloud server, and users can directly call cloud services without purchasing software and hardware equipment.

Advantages: Low cost, most convenient to use, suitable for small and medium-sized enterprises that do not have high data security requirements.

Disadvantages: There is a risk of data leakage when customer data is placed on a public cloud server.

3.2 Private cloud

refers to providing servers only to designated customers. Its main purpose is to ensure customer data security and enhance the company's service management capabilities.

Advantages: Highest data security. Suitable for companies that are not short of money and have high demand for data security.

Disadvantages: The cost of building services is high, the deployment cycle is long, and specialized operation and maintenance personnel are required in the future.

3.3 Hybrid Cloud

Hybrid cloud is a comprehensive solution that combines the characteristics of public cloud and private cloud. Customer data is generally stored locally, thus ensuring the security of customer data. Put insensitive nodes on public cloud servers for processing.

4. Artificial Intelligence Cloud Service Case

4.1 WeChat Mini Program “Shihuajun”

“Shihuajun” WeChat Mini Program is developed by Tencent’s “Shihuajun” "The AI ​​product team developed and used artificial intelligence technology to provide users with a small program for intelligent plant identification services. Supports more than 6,000 common flowers and plants, take photos, upload them, and identify them immediately. Shihuajun can also make your photos into beautiful cards, save them for appreciation.

4.2 Article Generator

Article generator, BullshitGenerator, this project has a python3 version and an online version modified by suulnnka, which can automatically generate 10,000-word applications and nonsense Reports, formalistic articles.

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