The main functions of AI intermediate platform include:
Integrated AI capability: AI intermediate platform integrates various artificial intelligence technologies, such as machine learning, natural language processing, image recognition, etc. , and provide a unified service interface.
Promote resource sharing: through the middle office, different business departments can share AI resources and capabilities, rather than being developed or purchased by each department separately.
Improve efficiency and flexibility: AI intermediate platform enables enterprises to quickly respond to market changes, quickly deploy new AI applications or services, and reduce costs.
Data-driven decision-making: AI intermediate platforms usually include big data analysis and processing capabilities to help enterprises extract insights from massive data and support data-driven decision-making.
Support a variety of application scenarios: enterprises can use AI intermediate platform to realize the application of AI technology in different business fields and application scenarios, such as customer service automation, market analysis, intelligent recommendation and so on.
The construction of AI intermediate platform is particularly important for large enterprises, which can help them make more effective use of AI technology and accelerate digital transformation. However, the construction and maintenance of AI intermediate platform also faces challenges such as technical complexity, data governance and security.