What is the future business model of artificial intelligence?

Under the trend of artificial intelligence platformization, artificial intelligence will present a competitive pattern of several leading platforms plus a wide range of scenarios in the future. Ecological builders will become one of the most important models. What are the future business models? How to grasp the future investment opportunities of the artificial intelligence industry?

Model 1: Eco-builder-Ecology + scenario application of the entire industry chain as a breakthrough.

Key Success Factors: Large amount of computing power investment, accumulation of high-quality multidimensional data, establishment of algorithm platform, general technology platform and application platform, with scene applications as the entrance to accumulate users.

Application of artificial intelligence scenarios

Mode 2: Technology algorithm driver-technology layer + scenario application as a breakthrough.

Key success factors: Deep ploughing algorithms and general technology to establish technical advantages, and at the same time use scene applications as the entrance to accumulate users.

Mode 3: Application Focuser-Scene Application.

Key success factors: master market segment data, select appropriate scenarios to build applications, build a large number of multi-dimensional scenario applications, and capture users; at the same time, cooperate with Internet companies to effectively combine traditional business models and artificial intelligence.

Mode 4: Pioneer in vertical field-killer application + gradually build vertical field ecology.

Key success factors: Can be the first to launch killer applications in scenarios with a wide range of applications and large amounts of data, so as to accumulate users and become the leader of the vertical industry; gradually accumulate large amounts of data and gradually expand to application platforms, general technologies, and basic algorithms.

Mode 5: Infrastructure providers-cut in from infrastructure and expand downstream of the industry chain.

Key success factors: development of new chips with intelligent computing capabilities, such as image and speech recognition chips, to expand the application scenarios of the chips; extensive integration on mobile smart devices, large servers, drones (cars), robots and other equipment and facilities Application, to provide more efficient and low-cost computing capabilities, services, and deep integration with related industries.

Artificial intelligence industry chain

What preparations do traditional enterprises need to deploy artificial intelligence?

1. In terms of corporate layout, enterprises must have proprietary fixed assets, brands, intellectual property and other resources, obtain economies of scale and scope in their fields, and establish stable customer relationships through store and dealer networks;

2. In terms of the company's own capabilities, the company has accumulated unique talent reserves and professional skills, and streamlined its processes as much as possible.

In the era of artificial intelligence, the advantages of corporate competition are reflected in algorithms and data assets, the establishment of a learning network and data ecology, 360-degree insight into consumers, continuous learning to generate new knowledge through artificial intelligence, and at the same time, driven by data, automatic instant decision-making.

Artificial intelligence data collection applications

To use artificial intelligence to build new competitive advantages, traditional companies need to work with Internet companies to explore new business models.