Technology peripherals
AI
Four paths to realize AI-empowered digital transformation of small and medium-sized enterprises
Four paths to realize AI-empowered digital transformation of small and medium-sized enterprises
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.
Path 1 Artificial intelligence changes business practices and promotes innovation in related industries
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.
Path 2 Artificial intelligence transforms the production methods of small and medium-sized enterprises and improves management efficiency
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.
Path 3 Artificial intelligence optimizes enterprise business processes and changes the value creation process
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.
Path 4 Artificial intelligence accelerates the integration of various social and economic fields and improves the government service experience
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.
The above is the detailed content of Four paths to realize AI-empowered digital transformation of small and medium-sized enterprises. For more information, please follow other related articles on the PHP Chinese website!
Hot AI Tools
Undresser.AI Undress
AI-powered app for creating realistic nude photos
AI Clothes Remover
Online AI tool for removing clothes from photos.
Undress AI Tool
Undress images for free
Clothoff.io
AI clothes remover
Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!
Hot Article
Hot Tools
Notepad++7.3.1
Easy-to-use and free code editor
SublimeText3 Chinese version
Chinese version, very easy to use
Zend Studio 13.0.1
Powerful PHP integrated development environment
Dreamweaver CS6
Visual web development tools
SublimeText3 Mac version
God-level code editing software (SublimeText3)
Hot Topics
1387
52
Bytedance Cutting launches SVIP super membership: 499 yuan for continuous annual subscription, providing a variety of AI functions
Jun 28, 2024 am 03:51 AM
This site reported on June 27 that Jianying is a video editing software developed by FaceMeng Technology, a subsidiary of ByteDance. It relies on the Douyin platform and basically produces short video content for users of the platform. It is compatible with iOS, Android, and Windows. , MacOS and other operating systems. Jianying officially announced the upgrade of its membership system and launched a new SVIP, which includes a variety of AI black technologies, such as intelligent translation, intelligent highlighting, intelligent packaging, digital human synthesis, etc. In terms of price, the monthly fee for clipping SVIP is 79 yuan, the annual fee is 599 yuan (note on this site: equivalent to 49.9 yuan per month), the continuous monthly subscription is 59 yuan per month, and the continuous annual subscription is 499 yuan per year (equivalent to 41.6 yuan per month) . In addition, the cut official also stated that in order to improve the user experience, those who have subscribed to the original VIP
Context-augmented AI coding assistant using Rag and Sem-Rag
Jun 10, 2024 am 11:08 AM
Improve developer productivity, efficiency, and accuracy by incorporating retrieval-enhanced generation and semantic memory into AI coding assistants. Translated from EnhancingAICodingAssistantswithContextUsingRAGandSEM-RAG, author JanakiramMSV. While basic AI programming assistants are naturally helpful, they often fail to provide the most relevant and correct code suggestions because they rely on a general understanding of the software language and the most common patterns of writing software. The code generated by these coding assistants is suitable for solving the problems they are responsible for solving, but often does not conform to the coding standards, conventions and styles of the individual teams. This often results in suggestions that need to be modified or refined in order for the code to be accepted into the application
Can fine-tuning really allow LLM to learn new things: introducing new knowledge may make the model produce more hallucinations
Jun 11, 2024 pm 03:57 PM
Large Language Models (LLMs) are trained on huge text databases, where they acquire large amounts of real-world knowledge. This knowledge is embedded into their parameters and can then be used when needed. The knowledge of these models is "reified" at the end of training. At the end of pre-training, the model actually stops learning. Align or fine-tune the model to learn how to leverage this knowledge and respond more naturally to user questions. But sometimes model knowledge is not enough, and although the model can access external content through RAG, it is considered beneficial to adapt the model to new domains through fine-tuning. This fine-tuning is performed using input from human annotators or other LLM creations, where the model encounters additional real-world knowledge and integrates it
Seven Cool GenAI & LLM Technical Interview Questions
Jun 07, 2024 am 10:06 AM
To learn more about AIGC, please visit: 51CTOAI.x Community https://www.51cto.com/aigc/Translator|Jingyan Reviewer|Chonglou is different from the traditional question bank that can be seen everywhere on the Internet. These questions It requires thinking outside the box. Large Language Models (LLMs) are increasingly important in the fields of data science, generative artificial intelligence (GenAI), and artificial intelligence. These complex algorithms enhance human skills and drive efficiency and innovation in many industries, becoming the key for companies to remain competitive. LLM has a wide range of applications. It can be used in fields such as natural language processing, text generation, speech recognition and recommendation systems. By learning from large amounts of data, LLM is able to generate text
Five schools of machine learning you don't know about
Jun 05, 2024 pm 08:51 PM
Machine learning is an important branch of artificial intelligence that gives computers the ability to learn from data and improve their capabilities without being explicitly programmed. Machine learning has a wide range of applications in various fields, from image recognition and natural language processing to recommendation systems and fraud detection, and it is changing the way we live. There are many different methods and theories in the field of machine learning, among which the five most influential methods are called the "Five Schools of Machine Learning". The five major schools are the symbolic school, the connectionist school, the evolutionary school, the Bayesian school and the analogy school. 1. Symbolism, also known as symbolism, emphasizes the use of symbols for logical reasoning and expression of knowledge. This school of thought believes that learning is a process of reverse deduction, through existing
To provide a new scientific and complex question answering benchmark and evaluation system for large models, UNSW, Argonne, University of Chicago and other institutions jointly launched the SciQAG framework
Jul 25, 2024 am 06:42 AM
Editor |ScienceAI Question Answering (QA) data set plays a vital role in promoting natural language processing (NLP) research. High-quality QA data sets can not only be used to fine-tune models, but also effectively evaluate the capabilities of large language models (LLM), especially the ability to understand and reason about scientific knowledge. Although there are currently many scientific QA data sets covering medicine, chemistry, biology and other fields, these data sets still have some shortcomings. First, the data form is relatively simple, most of which are multiple-choice questions. They are easy to evaluate, but limit the model's answer selection range and cannot fully test the model's ability to answer scientific questions. In contrast, open-ended Q&A
SOTA performance, Xiamen multi-modal protein-ligand affinity prediction AI method, combines molecular surface information for the first time
Jul 17, 2024 pm 06:37 PM
Editor | KX In the field of drug research and development, accurately and effectively predicting the binding affinity of proteins and ligands is crucial for drug screening and optimization. However, current studies do not take into account the important role of molecular surface information in protein-ligand interactions. Based on this, researchers from Xiamen University proposed a novel multi-modal feature extraction (MFE) framework, which for the first time combines information on protein surface, 3D structure and sequence, and uses a cross-attention mechanism to compare different modalities. feature alignment. Experimental results demonstrate that this method achieves state-of-the-art performance in predicting protein-ligand binding affinities. Furthermore, ablation studies demonstrate the effectiveness and necessity of protein surface information and multimodal feature alignment within this framework. Related research begins with "S
SK Hynix will display new AI-related products on August 6: 12-layer HBM3E, 321-high NAND, etc.
Aug 01, 2024 pm 09:40 PM
According to news from this site on August 1, SK Hynix released a blog post today (August 1), announcing that it will attend the Global Semiconductor Memory Summit FMS2024 to be held in Santa Clara, California, USA from August 6 to 8, showcasing many new technologies. generation product. Introduction to the Future Memory and Storage Summit (FutureMemoryandStorage), formerly the Flash Memory Summit (FlashMemorySummit) mainly for NAND suppliers, in the context of increasing attention to artificial intelligence technology, this year was renamed the Future Memory and Storage Summit (FutureMemoryandStorage) to invite DRAM and storage vendors and many more players. New product SK hynix launched last year
