Author: Zen and the Art of Computer Programming
Currently, as humans become more and more dependent on social life and become more informatized, more and more personal consumption behaviors are replaced by various devices such as computers and smartphones. The digital economy is also developing at an alarming rate. Despite this, huge challenges still exist regarding the far-reaching impact of data-driven artificial intelligence technology on the real economy. Enterprises have to deal with new business models and face a new round of competitive pressure. Especially when customer demand is rising sharply, how to make full use of artificial intelligence technology to improve efficiency, improve industrial chain supply chain operation capabilities and end-user experience? And reducing costs, and ultimately achieving the contradictory balance between sustainable development and company profit growth, are very important topics. The artificial intelligence-based data analysis platform (AI Data Analysis Platform) was established to solve this problem. The goal of this platform is to use machine learning, data mining, knowledge graph and other technologies, combined with the massive data resources of Internet big data and the Internet of Things, to gain insights into the application potential of artificial intelligence in the real economy from many aspects, tap opportunities, and provide corresponding Decision support can benefit all walks of life. Its core values include:
- Through the intelligent analysis engine, massive data is screened, integrated, and stored to realize data sharing and exchange;
- Provide unified business process design, model training, parameter adjustment, model tuning, prediction result display and other full life cycle management functions to reduce developers' duplication of work;
- Build reliable and accurate artificial intelligence models and give the artificial intelligence data analysis platform unique autonomous learning capabilities;
- Use the knowledge graph to connect similar or related knowledge in the field to form a knowledge base, which supports functions such as entity matching, recommendation, search, analysis and reasoning based on the knowledge graph;
- Integrate machine learning, statistical analysis, pattern recognition and other technologies to analyze complex ecosystems and system variables to support real-time monitoring and risk control.
2. Explanation of basic concepts and terms
2.1 Data analysis platform
The data analysis platform is “Cloud+”