It is both an opportunity and a challenge for artificial intelligence TV to usher in three mountains.

Last year, the color TV market was cold, and artificial intelligence became a new way for manufacturers to seek breakthroughs. However, there are many different opinions in the industry to meet the needs of users. What is certain is that although artificial intelligence TV has become a "new vent", there is still much room for improvement in the artificial intelligence technology of various manufacturers. If color TV manufacturers want to seize the opportunities, they still need to pay attention to and solve the following three problems.

Artificial intelligence TV welcomes three mountains. It is both an opportunity and a challenge.

Question 1: How to upgrade the AI ​​system?

The combination of artificial intelligence and television is an industry trend and irreversible. Under the AI ​​turmoil, many manufacturers have accelerated their own AI TV.

However, it should be noted that before the launch of AI TV, TV manufacturers introduced only smart TVs, and there is no obvious AI capability. So, how does the huge stock market upgrade to the AI ​​direction?

From the current point of view, some manufacturers have begun to practice. For example, Hisense recently announced the full upgrade of the VIDAA smart TV system to the VIDAA AI artificial intelligence system, and AI upgrades for more than 30 smart TVs listed between 2015 and 2017. Hisense’s approach is worth promoting, and I believe more and more color TV companies will follow.

However, Nail Technology also reminds some color TV companies that in the system AI upgrade, we must pay attention to the hardware capabilities of the old TVs. After all, with the AI ​​capabilities, the system hardware requirements will be greatly improved, for some old In terms of old hardware, the configuration may not be enough, resulting in a poor experience.

To solve the problem of AI upgrade in the stock market, color TV companies need to have practical solutions.

Question 2: How to solve homogenization?

In the face of the AI ​​trend, artificial intelligence has almost become the standard for television. But behind the standard, an obvious question is how to achieve product differentiation?

At present, the homogenization of AI TV is still quite serious. The ability of AI TV is mainly reflected in voice interaction and personalized recommendation, but the basic barriers of these two capabilities are actually very low, which also causes the homogenization problem mentioned above.

Taking voice interaction as an example, many companies will choose to cooperate with companies such as HKUST and Baidu to allocate relevant technologies to various color TV products. The related capabilities will not be particularly different.

Personalized recommendation relies on the collection and processing of big data. In fact, each company may not be able to really open up the gap. Algorithm optimization and data accumulation should not be said to have reached a significant difference. Of course, head color TV brands, such as Hisense, Skyworth, TCL, and Changhong, have a certain advantage in this respect because of the large user base and Internet TV brands.

Therefore, when launching artificial intelligence products, color TV companies need to improve technical barriers and find new differentiated selling points.

Artificial intelligence TV welcomes three mountains. It is both an opportunity and a challenge.

Question 3: How does the “killer” application come about?

Artificial intelligence TV is of course more advanced than the previous ordinary smart TV, and the experience is better. However, from the current point of view, it has not reached a higher level to make users rush, a key reason is the lack of "killer" applications.

In fact, many products are popular because they have one or several "killer" applications. For example, the strong rise of WeChat in the past, the launch of voice chat function is a key node, called WeChat's "killer" application.

In addition to voice interaction and personalized recommendation, artificial intelligence TV currently has no functional applications that are particularly attractive to users. In the era when the experience is king, it is difficult to really impress consumers by talking about concepts or simply describing the vision.

The lack of “killer” applications is a challenge and a chance for color TV companies. In the future, color TV companies should strive to find and cultivate "killer" applications that really impress consumers while consolidating the basic capabilities of AI, and enhance the appeal of AI TV.

In summary, although various color TV manufacturers are flocking, the development of artificial intelligence TV should be said to be still in its infancy, and the exploration of color TV manufacturers in the field of artificial intelligence is long and long. But it is foreseeable that around the competition of artificial intelligence TV, who can solve the above three major problems, who can seize the most favorable market position.

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