Trend one: Strong is strong. Science and technology tycoon makes profit first.
Big companies like Google, Facebook and IBM will lead the trend in the field of artificial intelligence. As a big company, they have more resources to collect data, so there is more data to be used. As far as China is concerned, big companies such as BAT will also be the first to profit.
Trend two: Algorithms and techniques will be integrated.
All second echelons of AI, such as Intel, Salesforce, Twitter, and so on, will follow large companies with data and use their data, algorithms and AI. Data transactions will be carried out in the industry, and the algorithms and technologies are most likely to be integrated. The integration of data transactions and algorithms and technologies will make the AI more efficient.
Trend three: Chinese enterprises will achieve breakthroughs in the AI scene application field.
It is predicted that in 2018, scenario driven and event driven business models are likely to achieve breakthroughs. Compared with the existing instruction driven mode, the business mode is more active. Taking the takeaway industry as an example, the restaurant ordering according to the order may become a multi information analysis based on the tastes, mood and weather of the diners, so as to suggest "what should you eat today?"
Chinese enterprises may achieve faster breakthroughs in the field of scenario applications and business models, and are expected to continue to lead the world in both quantity and innovation.
Trend four: there will be more and more mergers and acquisitions.
According to the statistics of CB Insights, the arms race of AI acquisition has begun. In 2018, it will become more intense. We will witness more intellectual capital and talent acquisition. Machine learning and AI small companies will be acquired by large companies for two reasons.
AI can not work independently without a dataset. And big companies have a large number of data sets, and small companies are so competitive.
An algorithm without data is useless, and vice versa. Data is the core of the algorithm, so the gain of a large number of data is the weight.
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