印媒: 中国正成为人工智能超级大国

Becoming an AI Superpower成为人工智能超级大国China is becoming the world’s AI Superpower. 3 out of 7 AI

Becoming an AI Superpower

成为人工智能超级大国

China is becoming the world’s AI Superpower. 3 out of 7 AI giants are in China. What can others learn from their strategy?

中国正在成为世界人工智能超级大国,七大AI巨头有三家在中国。其它国家能从他们的策略中学到什么?

Artificial Intelligence will be the next electricity. Take healthcare. The market for healthcare artificial intelligence tools is expected to surpass $34 billion in the next 18 months. AI will drive $8.6 billion in annual revenue by 2025, contributing to the $34 billion total in software, hardware and consulting.

人工智能将很成为下一个电力行业。以医疗行业为例,医疗人工智能工具的市场在未来18个月内有望超过340亿美元。到2025年,人工智能将带来86亿美元的年营收,软件、硬件和咨询总收入将达到340亿美元。

AI is changing how we consume media. Google reported that Hindi Voice Queries are growing 400% YoY. AI is a unifying Video, Visuals, and Voice to create unique possibilities. Imagine being able to read a story to your kid and your AI-powered TV shows the appropriate visuals and sound effects that enhance the experience. Imagine what this could do in a classroom.

人工智能正在改变我们消费媒体的方式。谷歌报道说,印地语语音查询同比增长了400%。人工智能利用统一的视频,视觉和声音创造独特的可能性。想象一下,它能够给你的孩子讲故事,你的人工智能电视节目能够调节适当的视觉效果和音效来增强你的体验。想象一下它在课堂上能发挥什么作用。

Artificial Intelligence systems begin to control safety-critical infrastructure across a growing number of industries. Microsoft has recently announced the use of AI models to dramatically improve fraud detection rates and detection times for banking> This uses a behavioral-based AI approach and can be much more responsive to changing fraud patterns than rules-based or other approaches.

人工智能系统开始在越来越多的行业中控制安全性至关重要的基础设施。微软最近宣布,使用人工智能来大幅提高银行的欺诈识别率和缩短检测时间。这使用了一种基于行为的人工智能方法,并且可以比基于规则或其它方法更能应对不断变化的欺诈模式。

IDC estimates the potential corporate market for AI software, hardware, and services to be almost $58bn by 2021.

互联网数据中心预测,到2021年,人工智能软件、硬件和服务的潜在企业市场规模将接近580亿美元。

3 Lessons from the AI Superpower – China

China is determined to lead the world in AI. China will add $7 Trillion of the $15.7 Trillion of the world’s GDP by 2030.48% of the world’s AI funding comes from China. The result is that three out of the seven AI giants is in China (Baidu, Alibaba, and Tencent) China has 168 unicorns valued at a staggering $628 Billion.

人工智能超级大国-中国的3条经验

中国决心在人工智能领域引领世界。到2030年,人工智能将为全球经济贡献15.7万亿美元,中国GDP将增加7万亿美元。全球48%的人工智能资金来自中国。其结果是,七家人工智能巨头中有三家在中国(百度、阿里巴巴和腾讯),中国有168家独角兽企业,总价值达到6280亿美元。

What can you learn from China’s strategy?

There are three big ideas your business has to focus on:

1.Creating a data strategy

2.Tools to turn data into insights 

3.Talent who can turn insights into action

你能从中国的策略中学到什么?

有三大思路,你的企业必须关注:

1.创建数据策略

2.将数据转化为见解的工具

3.能将见解付诸行动的人才

1.AI is all about data

Your customers and employees and suppliers browsing habits and smartphones create vast amounts of data. As your watch and toothbrush get connected to the internet, they will create a more granular profile that will allow providers to individualize their offerings, just the way Netflix does. The self-driving car will generate 100 gigabytes per second.

WeChat in China combines the power of WhatsApp and PayTM. Their one million Monthly Active Users alone is more than the population of Europe. Since all the data is in one place, it is easy to turn data into insights.

1.人工智能的关键在于数据

你的客户、员工和供应商的浏览习惯和智能手机创造了大量的数据。当你的手表和牙刷连接到互联网时,它们将创建一个更细化的配置文件,允许提供商个性化他们的产品,就像Netflix做的那样。自动驾驶汽车每秒将产生100G的数据。

微信在中国结合了WhatsApp和PayTM的优势。他们的月活跃用户数为100万,超过了欧洲人口。因为所有的数据都集中在一个平台,所以很容易对数据进行分析得出见解。

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2.Tools to turn data into insights

GM may have sold 2.3 million cars and Tesla may have sold a few thousand. But each of the cars that Tesla has sold is a data generating machine. It changes the nature of competition. Amazon knows which product is gaining traction and can buy out the manufacturer. By providing barriers to entry and early-warning systems, efficient use of data. Each time you pause, rewind and watch a movie, the Netflix algorithm makes a note. Netflix will spend $12bn-13bn this year—more than any studio spends on films. It is currently making programmes in 21 countries, including Brazil, Germany, India, and South Korea.

2.将数据转化为见解的工具

通用汽车可能已经售出230万辆汽车,特斯拉可能已经售出几千辆。但特斯拉售出的每一辆车都是一台数据生成机。这改变了竞争的本质。亚马逊知道哪一种产品正在获得青睐,并可以买下制造商的全部股份。通过设置进入壁垒和预警系统,有效利用数据。每次你暂停、倒回和观看电影时,Netflix的演算法都会作记录。今年,Netflix将在原创节目上花费120亿至130亿美元,超过了所有电影公司的花费。目前,这些节目正在21个国家进行,包括巴西、德国、印度和韩国。

3.AI talent to take action

If you think Netflix is going to need the talent to make or acquire the 700 new or exclusively licensed television shows, wait till you see the mayhem that is taking place in AI. According to Gartner, lack of AI skills is the biggest challenge say 54 percent of CIOs looking to adopt AI, according to Gartner. Here is a course in AI that companies are encouraging their employees to take.

Chinese AI researchers are at par with the US. At AAAI’s 2017 conference, an equal number of accepted papers came from US- and China-based researchers. Companies have to try unusual tactics to bridge the talent gap.  Talent is boundaryless. You can tap into this decentralized network of AI professionals across the world. Companies have to build AND buy talent. It is not a choice between the two.

The ideal candidates’ organizations need must have an academic background, specifically in mathematics or statistics and understand the tech tools used to build machine learning systems. Oh yes, the candidate must be brilliant in communication and soft skills. If you are one of them, the gold rush is on.

3.AI人才要采取行动

如果你认为Netflix需要人才来制作或购得700个新的或独家授权的电视节目,等着看人工智能领域发生的巨变吧。根据Gartner的说法,缺乏人工智能技能是最大的挑战,54%的首席信息官希望采用人工智能。公司鼓励员工参加人工智能课程。

中国人工智能研究人员与美国不相上下。在2017年的国际人工智能协会会议上,来自美国和中国的研究人员发表的论文数量相当。公司不得不尝试不同寻常的策略来缩小人才差距。人才是无边界的,你可以挖掘分散在世界各地的人工智能专家。公司必须聘请人才、建立人才库。

理想的候选人才必须有学术背景,特别是在数学或统计学方面,并了解用于构建机器学习系统的技术工具。应聘者必须在沟通和软技能方面很出色。如果你是其中的一员,那么你的淘金热就开始了。

The last word

This is no longer about doing one of the three strategies. All three have to be done. They have to be done fast.

结语:

这三大策略不是三选一,而是三项都必须完成,而且必须尽快完成。

来源:三泰虎 http://www.santaihu.com/45975.html  译者:Jessica.Wu

外文:https://blogs.timesofindia.indiatimes.com/just-like-that/becoming-an-ai-superpower/

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