The hottest next outlet of Huawei's talent cloud c

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Huawei: talent cloud, the next outlet of cloud computing

the latest research report of China Beijing book, a Chinese economic data company, shows that in the first quarter of 2016, the growth rate of private sector employment in China dropped to the lowest level in four years. This shows that China's job market, which has been stable, will be greatly impacted in the future

how to solve the storm that China's job market is about to face? This is a very important issue, and I believe the government is also very worried. I know that many friends in the United States are working as Uber drivers because they are unemployed and have earned a good income. According to the latest data of sherpashare, an independent employment information provider in the United States, there were 327000 active Uber drivers in the United States in 2015, more than double that in 2014

according to the official data of Uber, the median income of New York uberx drivers (cheap models) who work 40 hours a week is $90766, which is 2.37 times that of New York taxi drivers (median income is $38357). It can be seen that employers like Uber are far more capable of creating jobs and improving income than traditional employers

what kind of employment method does Uber provide? I think it can be called talent asset cloud platform, or talent cloud for short. Through big data, the abilities and resources of practitioners are uploaded to the cloud platform to realize anytime. As long as there is any demand in the market, the most appropriate practitioners or resources will immediately respond. Practitioners and resources will appear in the most appropriate position and cooperate with the organization in the most appropriate way to produce the products and services most needed by users. As long as practitioners have the ability and resources to match the cloud platform, they can enter the cloud platform in the form of dynamic big data to realize on-demand call. This kind of organization that integrates and manages human resources through big data and cloud platform on demand is called talent cloud

talent cloud is likely to become the next outlet of cloud computing

talent cloud: fully cover the job market. Some people may say that talent clouds such as Uber provide low-end employment opportunities. Can the talent cloud also provide high-end employment opportunities in the speed display column of the universal experimental machine? Big data analysis should be one of the most important tasks at present? Kaggle is Uber of big data analysts, providing them with job opportunities for big data analysis

let's learn about kaggle through a case

jetpac is a San Francisco start-up. When you log in to Facebook through jetpac, jetpac will search all the photos uploaded by your friends, and then find those with place names in the title, and then use these photos to create a personalized travel photo magazine. During the demo, many selected photos were found to be of poor quality. They want to write a search algorithm code (indentation algorithm is pressed on the sample surface) to determine whether the quality of the photos meets the standards of travel photo magazine by analyzing the metadata of the photos. As a start-up, jetpac doesn't have much time and money to find and hire competent programmers to solve this problem

so the jetpac R & D team found the kaggle station and turned their technical problems into a prize arena competition with a reward of $5000 for three weeks. A total of 418 people and 212 teams participated in the competition. The accuracy of the code compiled by the first 10 teams to predict the quality of photos has reached more than 85%. The prize was finally won by the team led by Bo Yang, a doctoral student from the University of Southern California. Kaggle's competition contract stipulates that the prize payer owns the intellectual property rights of the winning code, so jetpac immediately used the Bo Yang team's code, and a mature product will be launched in a short time

kaggle gathers the world's top data mining talents. Many start-ups like jetpac, which are short of data talents, put their technical problems on the kaggle page to offer a reward, so that data experts around the world can solve the problems in the shortest time and with the least investment in the process of a showdown. In addition to the competition bonus (ranging from $1000 to $3million), big data analysts can also get hourly compensation on kaggle, usually in the range of hundreds or even thousands of dollars

McKinsey pointed out in the big data report that we have entered an era of massive data, and we need efficiency and profit from data mining. This is what Facebook and Amazon are doing. But the problem is that data mining talents are scarce all over the world. Writing search algorithm code is often a very time-consuming and expensive thing. Therefore, using cloud platforms and cloud organizations like kaggle, enterprises can find the best solution by integrating data mining talents around the world at a lower cost; Many big data analysts can also realize their abilities and spare time

New Scientist magazine reported last year that the Bank of England is cloud forming its economic research department and allowing people outside the bank to enter the cloud. It can be seen that the employment opportunities provided by the talent cloud can also be very large, and can completely cover the high, middle and low employment markets

the huge economic value of the talent cloud

from low value-added skilled labor to high value-added skilled labor, the employment market in developed countries is experiencing a talent cloud revolution

according to the data of the United States, from 2009 to 2011, the total number of people employed through talent clouds such as Uber and kaggle in the United States increased by more than 100% to 6.3 million. No updated data has been released, but from the perspective of the rapid development of talent cloud, its expansion in the job market has not slowed down

according to the latest authoritative research report of Burson Marsteller, Aspen Research Institute and Time magazine, 45million people in the United States have provided products and services through talent cloud, and a total of 14.4 million people. The main source of income is talent cloud. Among these 14.4 million people, either they have obtained more than 40% of their total income through the talent cloud, or they cannot obtain employment in the traditional job market

in addition, according to the latest joint survey of the global Federation of trade unions and the European progressive research foundation, 5million people aged 16 to 75 in the UK have provided their own products and services through the talent cloud, of which 26% have obtained more than 50% of their total income. No wonder some foreign commentators call it a hacker program to crack the recession. It is no accident that it has entered a stage of rapid development since the global financial crisis in 2008

the traditional employment model is inefficient to a large extent, especially for employers and employees. Cost saving, freer labor time and higher efficiency cloud organizations can largely solve the problem of low efficiency in the traditional job market, which is a fundamental reason for the explosive growth of cloud organizations in the financial crisis

talent cloud is the general trend

at the beginning of June, US Labor Secretary Tom Perez announced that all employees who provide products and services through talent cloud will be included in the labor force demographic data from may2017. Previously, the labor force population data only counted those employed in the traditional job market. Through the talent cloud, the United States has been far ahead of the global job market revolution. To some extent, this is also the result of the financial crisis forcing the US job market

like the United States in 2008, the situation of China's employment market is deteriorating rapidly, and the unemployment problem will become more and more serious. The talent cloud is an important channel for enterprises, governments and individuals to deal with this situation. China has imitated many talent clouds in the United States, such as didi taxi, but the problem is that our cloud organization mainly works in the low value-added skilled labor market, and is not good in the high value-added skilled labor market. We only have Uber, not kaggle. Is this because we have too few high-quality talents? Is it because our enterprise has no insight? Or is it because our job market is extremely inefficient and urgently needs a cloud organization revolution

how to build a complete, highly segmented and specialized talent cloud ecological chain from low value-added skilled labor to high value-added skilled labor in our job market will be an excellent hacker solution to solve China's potential employment crisis. If there are enterprises that cut in efficiently and accurately, I believe that based on China's economic policies and social stability, the government's policy dividends, financial dividends and financial resources will also follow up quickly

Copyright © 2011 JIN SHI