2017 has already begun, artificial intelligence will be the focus of everyone's attention. Both entrepreneurs and investors, whether domestic or foreign, have set off an artificial intelligence boom. So, what are the industry trends in artificial intelligence in 2017?
The first trend is that all IT giants will heavily deploy AI cloud services. AI-aaS, meaning artificial intelligence or service, will become the future trend. AI is the future, and it is self-evident. The new and old IT giants are not only actively using artificial intelligence in their own business, but also actively using cloud computing platforms to provide AI services to third parties.
From the supply side, IT giants are well aware that as long as third parties use their own platforms, they will leave data on the platform, and this data will be a big gold mine in the era of artificial intelligence. From the demand side, those application companies can take advantage of the AI ​​cloud services provided by large companies to enhance their competitiveness. Therefore, whether it is a provider of AI services or a company using AI services, this is a win-win cooperation.
The second trend is that new and old artificial intelligence companies will be eager to compete around the smart portal. In the Internet age, almost every entrance will cause competition, and the success of each entry will become the next giant. For example, in the era of Web 2.0, the rise of interactive social formation formed a social portal, which created Facebook and Tencent. The era of artificial intelligence is no exception. After fierce competition, it will inevitably give birth to the next huge super enterprise.
In the era of artificial intelligence, the entrance of services is mainly the voice interaction of natural language. Natural language processing is the main mode of human-computer interaction. Whoever makes the machine understand the human language better can win. Artificial intelligence will completely surround all aspects of our lives, which means that the competition for artificial intelligence portals will be even more fierce, and the sooner we participate, the more users we get, the greater the chances of victory.
The third trend is that artificial intelligence will occupy the living room and voice interaction will become a mainstream TV application. The concept of smart home has been called for many years. Bill Gates made a clear description in the Road to the Future published in 1995, but such a description has not been a fact so far. The core reason is that users lack demand.
Nowadays, with the increase of TV screen size and the explosive growth of video content, traditional remote controllers are more and more difficult to meet the needs of people using TV. Voice-based intelligent search and intelligent interaction are rapidly emerging, and natural language interaction will become a TV control. The standard way of the machine. Traditional TV manufacturers such as Samsung, video content providers such as Netflix and Amazon, and IT vendors such as Microsoft and Google have already launched or will launch their own TV-centric voice interactive products. Smart homes are becoming reality from TV sets.
The fourth trend is that smart toys will be one of AI's first successful applications. If you use AI to diagnose a condition or make a self-driving car, people often cannot tolerate it making mistakes. But unlike toys, people have a high tolerance for errors in toys. Therefore, in the day when artificial intelligence can't surpass human intelligence, smart toys are just the entry point for artificial intelligence to get initial market recognition.
There are already many successful cases. Although China's toy manufacturing industry is strong, there is no brand advantage. If Chinese toy companies cooperate with high-tech companies, they will use their strong manufacturing strength and marketing strength to launch their own products. The brand will have huge business opportunities.
The fifth trend is that commercial robots will have great potential in specific business scenarios. Such robots are often made for a specific scene, such as shopping guides, front desk, and delivery, so the effectiveness is obvious and it is easier to promote in a small area.
Many powerful robot companies will develop general-purpose robots that can be used in many commercial fields. They can adapt to different environments. The disadvantages are more expensive. For example, Japan's Softbank's pepper robots cost about RMB 200,000 each. Includes follow-up service fees and insurance premiums. Professional robots are more focused on solving problems in a targeted manner, but because of their limited capabilities, they are easily imitated or swallowed by competitors.
In 2017, we will see professional robots in many business halls with certain characteristics. In the future, hotspots will shift from professional robots to general-purpose robots, and general-purpose robots will rise rapidly.
The sixth trend is that assisted driving will be the first large-scale application of AI. Automated driving has always been the hottest application in the field of artificial intelligence, but due to the fatal accident caused by Tesla's autonomous driving function, Google has abandoned its own production of autonomous vehicles and cooperated with mature car manufacturers. Fully automatic driving, there is still a long way to go.
At the same time, major auto companies are working hard on autonomous driving. More and more cars will be equipped with certain auto-driving capabilities, that is, on a highway, or in a city with a driver. The case of automatic driving is achieved.
The seventh trend is that application startups with big data support will usher in the best opportunities. Although the competition in the field of artificial intelligence is very fierce, especially the competition on the underlying technology, don't forget that the real winner will not be generated at the technology layer or the platform layer, but at the application layer. For example, the rise of the mobile Internet, the biggest winner is not the communication operator, but the Facebook that built the social network empire.
And for applications, for artificial companies, artificial intelligence is precisely their real opportunity. Especially in the case of IT giants open source, innovative companies have the opportunity to use these resources to become the next hegemon. For innovators, be sure to go to the weakest link in the enemy to find a breakthrough. The most worthwhile place to start is the data-rich, but poorly applied place.
The eighth trend is that GPUs will be further widely used in smart chips. GPU, also known as GPU, has always been the dominant hardware processor for AI applications. In the field of artificial intelligence such as image speech recognition and driverless, GPU is rapidly expanding its market share.
Although many IT giants and innovative companies are trying to customize new hardware architectures to compete with GPUs in terms of performance, cost and power consumption, because NVIDIA has invested heavily in building an industrial ecosystem, it is certain that GPUs are still Will be more widely used for a long time.
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