Compared with public opinion's rally, in fact, people's input in the field of wage energy has clearly begun to become more cautious, which also confirms the cold winter of capital, and this trend may still be accompanied by the process of the Internet economy for a long time. As can be seen from the figure, the investment quota has significantly improved since the end of 2014, which is consistent with the emerging time of the start-up companies. Even though the quarters fluctuate greatly, the total amount of the investment is indeed rising every year.
However, from the point of view of the financing stage, since 2005, capital has been mainly concentrated in the seed round, and the proportion of A, B, and C stages has been reduced as a whole. Moreover, there are statistics showing that over the five-year period from 2011 to 2015, more than 65% of the global financing occurred in the seed/angel round or round A, and there were only 20 rounds of financing in the D round and beyond. This shows that although artificial intelligence is very hot, investment is becoming more and more rational. If most artificial intelligence companies do not have clear practical values ​​or technical products, it will be difficult to impress investors' hearts with confidence. Their future financing prospects are indeed Not optimistic. So telling stories and engaging in marketing is not really an AI process. Even technology giants in this field have not been able to create an artificial intelligence product with perfect performance and large user scale. The majority of artificial intelligence products can only be regarded as artificial artificial intelligence. Instead of investing excessively in the marketing of products, it is better to pay attention to some vertical subdivided areas that the giants have not touched, and pluck them deeper to seek opportunities. It takes time for artificial intelligence technology to transform into commercial value. Artificial intelligence applications involve both dedicated applications and general applications. The former covers most areas of domestic artificial intelligence applications, including face and voice recognition, and service robots. The latter focuses on general solutions in finance, medical care, and smart homes. No matter what the application of the field is, it has a clear business model. For example, today's headlines that rely on artificial intelligence and black box algorithms have risen strongly and passed through suitable content to the right people to accumulate massive users; Apple's Siri, Amazon's Alexa and other voices. Interactive technology successfully integrated with hardware products and earned a lot of profit for it. However, this also illustrates another grim fact: At present, the more mature artificial intelligence products in the industry come from the Internet giant. Under such pressure, start-up companies often use pseudo-intelligent products as the capital for storytelling in order to quickly obtain investment or earn eyeballs. This phenomenon is extremely common, and it also creates a situation in which “hot demand for products†is cold in the market. This is very similar to the state of the VR market in the past two years. Numerous manufacturers have launched their own VR hardware or software programs with great popularity. However, these low-performing cheap goods not only failed to take advantage of it, but also destroyed most of the consumption. Person's willingness to buy. This is also true in the field of artificial intelligence. As Zhou Hongyu said, “Today, come out and be a company, if you don’t say that you are using deep learning, artificial intelligence, you are embarrassed to mixâ€, “Each pig basically puts artificial intelligence on the body. The tag". A large number of pseudo-smart products, simply adding ordinary electronic products to the networking or search function, can be touted in the name of big data and deep learning, such as some wearable devices and smart set-top boxes, and even more. A cup with a digital thermometer will dare to call smart. The existence of these products has caused the misunderstanding of artificial intelligence by ordinary users to a great extent, and it will also have a negative impact on the application of the industry in the future. And even if there is a technological breakthrough, it will take a long time to turn from technology into great commercial value. Since the birth of the concept, artificial intelligence has been in existence for 60 years. Even during these years of scientific and technological explosions, there are no phenomenal products that have swept the market. Each branch is also facing its own know-how. Even if you break through the know-how, it does not mean that this product can be successful. Wang Xiaochuan said: If there is no technical content at the beginning, it will be very difficult to become a product; further, even if there is technology, it is not necessarily a product, not necessarily the size of the user; and further, even if there is technology, there is a user Scale does not necessarily bring great business value. All in all, the moment when artificial intelligence requires technology to be developed, it needs more patience to wait for the balance of time, place, and people. So, is artificial intelligence now available to benefit people? It is the most reasonable and healthy growth route to drive the market outbreak with technology maturity, just as the smart phone has a strong spike function. In particular, artificial intelligence products with strong sci-fi colors should be gradually and step-by-step. They must be regarded as victims of the wave of science and technology because of the imaginary bubbles generated during the business upsurge. VR has been played badly last year, and it will take some time for recuperation to have a chance to re-emerge. Hopefully, the luck of artificial intelligence will not be so bad.
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