Artificial intelligence (AI) is one of the most transformative and influential technologies today, which is changing the operation mode and development trend of various industries and fields.
The essence of artificial intelligence technology is to learn knowledge from data, use knowledge to solve problems, and improve efficiency and value.
The development of artificial intelligence technology has also brought new entrepreneurial opportunities and challenges. For young people with entrepreneurial dreams, how to choose the right direction, how to judge market demand, how to make good use of artificial intelligence technology and platforms, and how to build a competitive Powerful products and services are issues that require serious thinking and planning.
This article will discuss the way of entrepreneurship in the era of artificial intelligence from the following aspects:
[Core elements and value models of artificial intelligence technology]
[Macro trends and main areas of artificial intelligence commercialization]
[Core paths and elements of artificial intelligence entrepreneurship and innovation]
[Development environment and trends of artificial intelligence entrepreneurship and innovation]
[Artificial intelligence entrepreneurship and innovation Practical cases and enlightenment]
1. The core elements and value model of artificial intelligence technology
Artificial intelligence technology is a new computing basis based on deep learning, which can automatically learn feature expressions in the space of distributed overlapping vectors, and these feature expressions can effectively solve Various tasks.
Artificial intelligence technology can build a three-in-one core system architecture, including perception system (obtain information from environmental observation), thinking system (do memory and induction), and action system (achieve goals through planning and interaction with the environment).
The main models in which AI technologies can generate business value are:
In a complete application scenario, data, software+hardware+algorithms, tasks, and user/customer requirements constitute a closed loop, continuously extract knowledge from data, use knowledge to solve tasks, meet user/customer needs, and generate more much data.
2. The macro trend and main areas of artificial intelligence commercialization
The macro trend of AI commercialization consists of four parts:
1. Establish a new IT foundation:
Since artificial intelligence is a different computing entity, it requires a new and complete silicon chip technology stack, as well as a new software technology stack, from the underlying fabric to the middleware in the middle, to the operating system of the device, to the application to the development tool class, all The whole set changes.
Develop large-scale applications: Since artificial intelligence technology can be applied to all industries and all human functions, a large number of applications will be launched, ranging from entertainment, manufacturing, finance, medical care, education, retail and other industries, to lawyers, Doctors, teachers, analysts, customer service, designers and other functions.
Create future intelligent platforms and industrial ecology: Due to the unprecedented capabilities of artificial intelligence technology, there are several types of platforms that artificial intelligence can form in the future. They will become very large industrial ecology, including autonomous systems (such as self-driving vehicles, robots), Smart places (which will form the experience of time and space for new work and life in the future), personal assistants, etc.
2. Form the basic environment for new industrial development:
Including large-scale financial capital investment, systematic personnel training, etc. The core point is that data will become the new main production capital, and data assets will establish a new IT foundation: since artificial intelligence is a different computing entity, it needs a new and complete silicon chip technology stack, as well as new software technology The stack, from the underlying fabric to the middleware, to the operating system of the device, to the application to the development tools, will change in a whole set.
3. Develop large-scale applications:
Since artificial intelligence technology can be applied to all industries and human functions, a large number of applications will be launched, ranging from entertainment, manufacturing, finance, medical care, education, retail and other industries to lawyers, doctors, teachers, analysts , customer service, designers and other functions.
4. Create a future intelligent platform and industrial ecology:
Due to the unprecedented capability of artificial intelligence technology, there are several types of platforms that artificial intelligence can form in the future, which will become a very large industrial ecology, including autonomous systems (such as self-driving vehicles, robots), smart places (which will form experience with time and space of life), personal assistants, etc.
5. Form the basic environment for new industrial development:
Including large-scale financial capital investment, systematic personnel training, etc. The core point is that data will become the new main production capital, and the capitalization of data will release very strong innovation energy and commercial value.
At the same time, the commercialization of artificial intelligence also requires the support of new infrastructure and policy environment.
2. The main areas of artificial intelligence commercialization include the following aspects:
Artificial intelligence basic cutting-edge technology:
Including deep learning, computer vision, natural language processing, speech recognition, knowledge graph and other fields, these technologies are the cornerstones supporting artificial intelligence applications and platforms, and are also the source of continuous advancement and breakthroughs in artificial intelligence technology.
AI Interaction :
Including dialogue interaction, visual interaction, multi-modal interaction and other fields, these technologies are the key to effective communication and collaboration between humans and artificial intelligence systems, and are also important means to improve user experience and satisfaction.
Artificial intelligence front end:
Including perception devices, edge computing, embedded systems and other fields, these technologies are necessary conditions for realizing real-time perception and response between artificial intelligence systems and the environment, and are also important ways to improve the performance and efficiency of artificial intelligence systems.
Vertical industry application:
Including medical health, education and training, financial services, retail e-commerce, manufacturing logistics and other fields, these fields are the most extensive and deepest application scenarios of artificial intelligence technology, and are also the source of creating huge social and economic value.
Artificial intelligence platform and ecology:
Including autonomous driving, robots, smart places, personal assistants and other fields, these fields are the most transformative and influential directions of artificial intelligence technology, and are also the core of new business models and ecosystems in the future.
Artificial intelligence basic environment and policy:
Including data capitalization, infrastructure construction, personnel training, legal norms and other fields, these fields are the basic conditions and guarantees for the commercialization of artificial intelligence, and are also important factors to promote the coordinated development of artificial intelligence technology and society.
3. The core path and elements of artificial intelligence entrepreneurship and innovation:
The core path of artificial intelligence entrepreneurship and innovation is:
Create products with technology (AI technology), test the market with products, and meet user/customer needs.
The core elements of artificial intelligence entrepreneurial innovation include the following aspects:
Technology (AI Technology):
Choosing the right AI technology as the starting point for entrepreneurship requires a certain technical foundation and understanding, being able to master the principles, characteristics, advantages, limitations and development trends of AI technology, being able to make good use of existing AI platforms and tools, and being able to continuously learn and Update AI technical knowledge.
Products (AI products):
Designing and developing valuable products according to user/customer needs requires certain product thinking and methods, being able to clarify product goals, functions, features, advantages, competitiveness and other elements, and being able to quickly iterate and verify the feasibility and effectiveness of products It can continuously optimize and improve the quality and experience of products.
Market (AI Market):
To find and expand potential market space according to the market environment and trends requires certain market analysis and marketing capabilities, to be able to understand the characteristics of the market's scale, structure, demand, competition, and changes, and to be able to formulate reasonable market positioning, strategies, and channels. , Promotion and other programs can constantly adjust and adapt to market changes and feedback.
User/Customer Requirements:
To provide valuable solutions according to the actual problems and expectations of users/customers requires certain user/customer insights and service capabilities, to be able to deeply understand the pain points, needs, preferences, behaviors and other characteristics of users/customers, and to be able to provide services that meet the needs of users/customers Products or services that customers demand can continuously increase user/customer satisfaction and loyalty.
4. The development environment and trends of artificial intelligence entrepreneurship and
innovation The development environment of artificial intelligence entrepreneurship and innovation includes the following aspects:
Policy Environment:
The government's support and guidance for artificial intelligence technology and industry, including the formulation of relevant laws and regulations, standards and regulations, policy measures, etc., to ensure the healthy development of artificial intelligence technology and industry, promote the coordinated development of artificial intelligence technology and society, and prevent artificial intelligence Risks and challenges of technology and industry.
Capital environment:
Financial capital’s investment and support for artificial intelligence technology and industry, including providing relevant financing channels, investment institutions, investment projects, etc., to promote the innovation and development of artificial intelligence technology and industry, and help artificial intelligence entrepreneurs and innovators to achieve commercialization and scale.
Talent environment:
The supply and cultivation of human resources for artificial intelligence technology and industry, including the provision of relevant education and training, research institutions, professional teams, etc., to cultivate and attract more artificial intelligence technical talents, product talents, market talents, etc. and industrial development to provide talent security.
Basic environment:
Infrastructure support and services for artificial intelligence technology and industry, including providing relevant data resources, computing resources, network resources, platform resources, etc., to meet the data requirements, computing requirements, network requirements, platform requirements, etc. of artificial intelligence technology and industries , to provide basic guarantee for the operation of artificial intelligence technology and industry.
5. The development trend of artificial intelligence entrepreneurship and innovation includes the following aspects:
Technology Trends:
Artificial intelligence technology will continue to progress and break through, from perception to thinking to action, from single to diverse to fusion, from shallow to deep to extensive, from static to dynamic to adaptive, from rules to statistics to symbols, from black boxes to white box to transparent.
Product Trends:
AI products will be continuously optimized and improved, from function to experience to value, from single-point to multi-point to comprehensive, from general-purpose to dedicated to customization, from isolation to connection to collaboration, and from passive to active to autonomous.
market trend:
The artificial intelligence market will continue to expand and deepen, from consumption to production to service, from vertical to horizontal to comprehensive, from online to offline to unbounded.
From the domestic market trend:
The artificial intelligence market will continue to expand and deepen, from consumption to production to service, from vertical to horizontal to comprehensive, from online to offline to borderless, and from domestic to international to global.
User/Customer Demand Trends:
The needs of artificial intelligence users/customers will continue to change and improve, from basic to advanced to extreme, from satisfaction to transcendence to creation, from rationality to sensibility to emotion, from individual to group to society.
6.
There are many practical cases of artificial intelligence entrepreneurship and innovation and practical cases that inspire artificial intelligence entrepreneurship and innovation. Here are just a few representative examples:
Xiaomi: Xiaomi is an Internet company with smartphones as its core. It uses artificial intelligence technology to improve the performance, functions, experience and value of mobile phones. It also develops a variety of smart hardware and IoT products, building a global coverage Smart ecological chain.
Baidu: Baidu is an Internet company with a search engine as its core. It uses artificial intelligence technology to improve the efficiency, accuracy, relevance and value of search. It has also developed a variety of artificial intelligence platforms and applications, involving voice, image, Natural language processing, knowledge graph, automatic driving and other fields.
Megvii Technology: Megvii Technology is an artificial intelligence company focusing on computer vision. It uses artificial intelligence technology to provide various computer vision solutions, including face recognition, image analysis, video understanding, etc., serving security, finance, etc. , retail, education and other industries.
Didi Chuxing: Didi Chuxing is a mobile travel platform centered on taxi-hailing services. It uses artificial intelligence technology to improve the convenience, safety, comfort and value of travel. It also develops a variety of travel methods and services. Including express trains, private cars, free rides, buses, bicycles, etc.
The enlightenment of artificial intelligence entrepreneurship and innovation has the following points:
You must have a clear entrepreneurial vision and goals, identify the fields and directions you are good at and passionate about, and formulate reasonable entrepreneurial plans and strategies in combination with market needs and trends.
We must have a spirit of continuous learning and innovation, keep up with the development and changes of artificial intelligence technology, constantly optimize and improve our products and services, and constantly seek and expand new market spaces and opportunities.
We must have good teamwork and resource integration capabilities, actively seek and attract excellent partners, employees, investors, etc., make full use of existing artificial intelligence platforms and tools, and effectively manage our own data resources . Have good teamwork and resource integration capabilities, actively seek and attract excellent partners, employees, investors, etc., make full use of existing artificial intelligence platforms and tools, etc., and effectively manage their own data assets and knowledge property rights etc.
Have keen user/customer insight and service capabilities, deeply understand user/customer pain points, needs, preferences, behaviors, etc., provide products or services that meet user/customer needs, and increase user/customer satisfaction and loyalty, etc. .
Conclusion:
The era of artificial intelligence is an era full of opportunities and challenges, and it is a rare historical opportunity for young people with entrepreneurial dreams.
Entrepreneurship in the age of artificial intelligence requires clear entrepreneurial vision and goals, continuous learning and innovative spirit, good teamwork and resource integration capabilities, and keen user/customer insight and service capabilities.
Entrepreneurship in the era of artificial intelligence also requires courage and determination, responsibility and responsibility, passion and dreams, confidence and persistence.
The way to start a business in the era of artificial intelligence is ultimately to be people-oriented, socially responsible, value-oriented, and driven by innovation.
Entrepreneurship in the era of artificial intelligence, looking forward to your joining and participation!