Qventus raises US$105 million to promote AI innovation in the medical industry
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SaaS (Software as a Service) platform is a software service provided through cloud computing. Users can subscribe on demand, eliminating the trouble of installing and maintaining software. You can develop some AI-based SaaS platforms to help companies realize automated and intelligent business processes. The applications of this type of platform are very wide, covering various fields from customer support, data analysis, marketing to automated office.
How to make money :
Subscription model : You can charge a monthly or annual subscription fee, usually with a free trial period, and then switch to paid after the user experiences it.
Value-added services : Provide differentiated services between basic and advanced versions. The advanced version can unlock more features, such as higher data processing capabilities, more detailed reports and analysis, and more powerful customized support.
Enterprise customization : Provide customized development services to large enterprises, design exclusive functions that meet their business needs, and charge customized development fees.
Cases : such as automated marketing platform (HubSpot), AI data analysis platform (Google Cloud AI, AWS Machine Learning), etc.
Applicable scenarios : customer service (chat robot), data analysis (predictive analysis, intelligent reporting), marketing automation (email marketing, advertising optimization), etc.
AI courses are suitable for people who are interested in artificial intelligence technology, including but not limited to students, engineers, data scientists, developers, and professionals in AI technology.
The course content ranges from basic to advanced. Beginners can choose basic courses and gradually go into more complex algorithms and applications.
Learning AI requires a certain mathematical foundation (such as linear algebra, probability theory, calculus, etc.), as well as programming knowledge (Python is the most commonly used programming language).
You will learn the core concepts and technologies in the fields of natural language processing, computer vision, data analysis, and master the use of AI tools and frameworks for practical development.
You can work as a data scientist, machine learning engineer, AI researcher, or apply AI technology to innovate in all walks of life.
