May 18, 2024

Microsoft Zhang Yaqin: Wearable devices still need to break through multiple bottlenecks

On the evening of March 30th, Microsoft's senior vice president of the world accepted an interview with Sina Technology at the Shenzhen IT Leaders Summit in 2014. The prospects for wearable devices in the next few years are very broad, but there is a tendency to overheat and the products are highly homogenized. It is only possible to become mainstream in the next three to five years.

Zhang Yaqin believes that there are still many bottles in the wearable device that need to be broken. The first is the sensor for wearable devices, which needs to be mentioned smaller, consume less energy, and ensure that the battery can last for several days. In addition, there should be a deeper level of monitoring for human health.

The second is industrial design. The products on the market are almost the same, and the functions are highly homogenized. The future wearable products must be beautiful and fashionable products, not what they are now.

The third is to combine with big data. Zhang Yaqin believes that wearable devices must be connected to the cloud and big data. Microsoft has introduced smart watches more than a decade ago, but that product is a broadcast connection with the background, so it is not very successful.

Wearable device

Zhang Yaqin predicts that the Internet will enter the physics stage in the next five to ten years, which includes several aspects:

The first is the development of technology, computing technology, network technology, especially the development of wearable devices, leading the Internet to quickly enter physicalization, but how to collect data, store, process, manage these data, make them meaningful and valuable, It is very much in need of big data skills and cloud computing storage capabilities.

The second is the rapid development of artificial intelligence. Microsoft is doing two researches: First, how to make a machine-like conversation, understand people, let the machine become like a human; second, let the machine become like a human, learn the brain thinking model.

The third is to use a large amount of data to infer, perceive and predict the future. Zhang Yaqin said that human data, machine data, and behavioral data can generate new intelligence through machine learning. This intelligence is more important than the past model.

"Currently, the Internet is entering the traditional field, and there will be a lot of subversion. For example, in the transaction field, the so-called benefit is a big impact. In finance, automobile, media, and telecommunications, new changes are generated every year, which actually reflects the Internet physics. Or the trend of the industry Internet. These are different aspects of the physicalization of the Internet." Zhang Yaqin said.

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