Thursday, November 12, 2015

Lei tap the business model of the age of big data is a top priority

  From the angle of millet, we feel the data waves are rushing toward.

  Why? because millet's main business is to make Smartphone, today's mobile phone is not just a communication tool, it is a portable computer, and more importantly, it carries the camera. Because of this characteristic, it produces all the huge amounts of data.

  Two years ago, when we realized that the above requirements, we began to do cloud services, data volume grows up to 6 times per year. Using our cloud services client has now reached 97 million people, we have stored for users to 40.5 billion photos, 50.4 billion video storage over 100 p 100 p in fact even today, it is not a particularly large number, but increased 6 times each year, new 3~4 p per month, in fact, the pressure is unprecedented.

  Two years ago, millet entered the field of smart devices, growth is also very rapidly in this field, such as air purifier sales over 100,000 units per month, we monitor and motion camera sales is 100,000 units per month. Portable wearable devices like bracelets, we sold more than 1 million units each month. All the time so much equipment to generate data.

  Our large feel very impressed, so we define AO meaning cloud services to the plan last year, in this plan, millet is focused on the application layer, kingsoft Software Center in an open cloud service, Golden Hill's Board of Directors also approved the plan last year, took us out of our own funds $ 1 billion investment in cloud services. After over a year of effort, we expect in cloud services revenue this year will probably grow by 4 to 5 times.

  With the advance data technology of mass, what is most difficult about it today? is the enormous investment in the age of big data, but the market is still in an early stage, if there is no matching business models, development pressure is very large. Smart voice O2O might go in this direction in

  How to ensure the sustainable development of large data? I think industry-wide, the key point is how to explore the value of the data, how to tap the business model of the age of big data, is our top priority.

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