Enterprise Big data to AI evolution
AI is a branch of computer science that attempts to understand the essence of intelligence and produces a new intelligent machine that responds in a similar way to human intelligence, including robotics, language recognition, image recognition, natural language processing, and expert systems. Since the birth of artificial intelligence, the theory and technology are becoming more and more mature, the application field is expanding, it can be envisaged that the future of artificial intelligence will bring the technology products, the human wisdom of the "container." Artificial intelligence can simulate the information process of people's consciousness and thinking. Artificial intelligence is not human intelligence, but can think like a person, may also exceed human intelligence.
Artificial intelligence is a technological evolution from the ultimate concept to the graded landing
The current domestic artificial intelligence industry pattern is not mature, upper and lower reaches of the middle and downstream contain a good entrepreneurial space, but entry threshold higher
The infrastructure on which AI relies is initially in place
The core of AI: Building industry closed-loop from data input, to computational analysis, to solution output
ai+ vertical application accelerates landing, will become the future development focus
The early pioneer of artificial intelligence financial market leads the change of business model
Car intelligence attempt originated from the Internet, 2014 before and after China began to appear in the real sense of intelligent car research and development design, the market is in the exploration period, the industry shuffle has kicked off
Intelligent car's open system and ecological platform will meet the needs of users in more scenarios of life service
Smart home market is a market start-up period, intelligent speakers with its natural voice interactive advantage to become the current intelligent Home control Center
Massive data provides a data base for the training of deep learning algorithms, and the collection of large amounts of unstructured data relies on chips and sensors
Opportunities in the era of data energy
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Enterprise Big data to AI evolution