Compared with large enterprises, small and medium-sized enterprises may not have strong technical support and strong financial support, lack of technical personnel, lack of high-quality data, unclear application scenarios, and high investment costs...
These are all difficulties in the digital transformation of small and medium-sized enterprises. In particular, small and medium-sized enterprises are already short of funds and find it difficult to bear R&D costs or technology customization costs. So how can AI empower small and medium-sized enterprises?
The author believes that artificial intelligence technology will accelerate small and medium-sized enterprises through four paths: industrial upgrading, management change, process reengineering, and environmental optimization. Digital transformation process.
Artificial intelligence technology can drive the upgrading of industrial structure, spawn new businesses, new models and new technologies, and change the business practices of enterprises. Help industries such as retail, transportation, tourism, and medicine achieve new development. During the normal prevention and control period of the COVID-19 epidemic, more companies have carried out precision marketing, telemedicine and other businesses, exploring highly operable and easy-to-replicate artificial intelligence applications and practice paths for small and medium-sized enterprises.
For example, in the healthcare service industry, the use of high-resolution medical imaging, smart applications and IoT devices can provide more personalized healthcare services and precise medical prescriptions, thereby saving money for the healthcare service industry Cost of care, reduced delays in diagnosis, lower risk of errors, and improved service quality.
On the one hand, artificial intelligence technology brings about changes in working methods, which can improve the automation of the production process, making processing simple and repetitive , low value-added, high-risk tasks, freeing business personnel from tedious work and helping small and medium-sized enterprises improve production efficiency. For example, artificial intelligence call center solutions can provide inquiry services such as product inventory opening hours, reservation cancellations, etc., and enable round-the-clock interaction with customers.
On the other hand, artificial intelligence technology can improve the accuracy of management decisions and improve the efficiency of asset maintenance and management. Artificial intelligence technology can significantly reduce prediction costs and help small and medium-sized enterprises make data-driven decisions to reduce uncertainty risks and identify potential business opportunities.
Artificial intelligence can affect multiple links in the business processes of small and medium-sized enterprises. Through knowledge accumulation and data analysis, it is conducive to the discovery of new business value points and customer needs, use data flow to drive technology flow, material flow, capital flow and talent flow, change the cost structure and value creation process, and promote enterprise business innovation and model change.
Marketing, supply chain management and production processes are the business links most affected by artificial intelligence. Forecasting, quality control, etc. are the main aspects of the application of artificial intelligence technology. For example, in the human resources management business process, the use of artificial intelligence technology can carry out differentiated management of working conditions, wages, benefits or job responsibilities, which is conducive to attracting outstanding talents to enter the enterprise.
Artificial intelligence can improve the business environment of small and medium-sized enterprises. Its application in the fields of e-government and public services has improved government services. The scientific nature of decision-making and the initiative and pertinence of services have effectively alleviated the problems of "difficulty, slowness and complexity in getting things done".
For example, machine learning can improve the work efficiency of administrative departments and reduce red tape; natural language processing and text mining capabilities can make case review more effective and save labor costs, reducing the investment of small and medium-sized enterprises in resolving commercial disputes; neural Network technology can analyze credit report data, reduce default risks and loan costs, and improve the availability of financing for small and medium-sized enterprises from credit institutions; the use of artificial intelligence technology in the office can make relevant judgments based on the evaluation of employee work performance.
To accelerate the promotion and application of artificial intelligence technology in small and medium-sized enterprises, we should start from three aspects
The first is to ease the financial pressure for digital upgrades of enterprises. Financial institutions such as commercial banks should be encouraged to increase credit support for the digital upgrading of small and medium-sized enterprises, innovate financial products for digital transformation, explore new financing services such as “digital loans”, and provide loan interest discounts and tax credits for enterprises’ digital transformation. Promote the establishment of a fund pool for the digital transformation of small and medium-sized enterprises, and provide subsidies for small and medium-sized enterprises to use remote working and adopt information technology solutions. The guidance plan for technological transformation and upgrading of industrial enterprises will be released on a rolling basis to support the technological transformation of artificial intelligence in small and medium-sized enterprises.
The second is to improve the data management level of small and medium-sized enterprises. Guide small and medium-sized enterprises to establish a data-driven culture of data collection, management, protection and analysis, embed data decision-making into business processes, and improve digital risk management. Comprehensively implement the data security law and network security law, strengthen the protection of key core technologies, improve the supervision of data flows for listed companies, and eliminate data security risks. Rely on the industrial Internet platform to build an artificial intelligence training base for small and medium-sized enterprises to train managers and employees of small and medium-sized enterprises to enhance their understanding of the economic benefits, transformation conditions and risk management of artificial intelligence. Improve the innovative talent introduction system for small and medium-sized enterprises, improve the talent introduction service mechanism and supporting measures, and encourage small and medium-sized enterprises to vigorously introduce high-level professional talents. Accelerate the construction of digital infrastructure and promote the large-scale deployment of new networks such as 5G, gigabit optical networks, and the Internet of Things.
The third is to improve the ability to provide digital transformation services. Driven by platforms, alliances, etc., it brings together various scientific research institutes, digital service providers, industry associations, etc. with service willingness and capabilities to provide enterprises with public services such as planning consultation, technical guidance, and application promotion. Relying on third-party consulting agencies, we will release a roadmap and development guidelines for the digital transformation and upgrading of small and medium-sized enterprises based on their digital transformation strategies, paths, strategies and other needs. Explore various types of services such as digital services for core business links and intelligent platform data analysis services to improve the ability to implement personalized customization of digital transformation plans. Cultivate a number of digital transformation benchmark companies in different industries, organize and release a number of typical experiences and excellent cases, play a demonstration and driving role, and accelerate promotion in the entire industry.
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