Innovation in China: The Chinese Software Industry

Accelerating Pace of Innovation in China and Japan’s Emerging Response

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In addition to small money transactions, these applications allow users to make train, airline, and hotel reservations, access ride sharing and food delivery services, buy movie tickets, pay for public services, and even keep a handle on asset management. These developments mark the arrival of a new digital ecology built around so-called multipurpose super apps.

The third category consists of what I call social implementation innovation, or the introduction of new technology on a trial-and-error basis in fields where fixed answers and definitive solutions do not yet exist. The spread of super apps and mobile payment options has made it possible for users to access automated remote payment whenever and wherever they want.

This has given rise to a wide range of new services, including unstaffed convenience stores, share cycles, and fully automated restaurants and parking lots. The fourth category is science- and technology--driven innovation, often led by universities and research institutions. Particularly impressive results have been achieved in such areas as quantum communications and genome editing. Collaboration between industry and universities to develop commercial applications for academic research have made good progress, with holding companies owned by universities playing a leading role, led by Tsinghua University.

In addition, China is aiming to become a world leader in such areas as artificial intelligence and use of big data, and Japan needs to wake up to the fact that we are now in an era in which policies of this kind are becoming commonplace in China, which remains a middle-income country in terms of per capita GDP. Of particular significant is the emergence in China of a framework for developing and cultivating venture companies, and the way which this ecosystem is increasingly connected to the wider world.

One of the best illustrations of this evolving ecosystem of Chinese venture companies is the Shenzhen Bay Software Industrial Base, located in the Nanshan district of Shenzhen, Guangzhou Province. The park, developed by a local state-owned enterprise as a sustainable tech-eco zone, is home to a concentration of venture companies.

One of the landmarks of the area is the new headquarters of Tencent. Along with the BATs, numerous venture capital companies and firms providing related services have also moved into the zone, as have venture companies looking to invest in promising start-ups.

Chinese software market: More opportunities, tougher competition

The area boasts numerous cafes that provide ideal settings for presentations, and there are frequent events that match startups with potential investors. It is fair to say that the area that embodies the ecosystem of the new economy in China. The connected tower blocks behind house the headquarters of Tencent. Photo by the author. The Chinese venture economy is not closed off to the outside world, though. This becomes abundantly clear when paying a visit to one of the events held in so-called makerspaces, members-only spaces equipped with 3D fabrication and craftsmanship facilities, and co-working spaces, offices available in short-term leases for individuals and companies.

However, his paper claims that, during this time period, multiple empirical studies and recruiter interviews revealed that the program failed to retain the talent, owing to factors such as expectations of instant research results. This suggests that the government, investors, and private companies are working as active AI players in harmony together to bridge the talent gap in China. Having the largest population base in the world might be a driver in the Chinese AI ecosystem for gathering and analyzing big data. However, it also poses competition problems. What is more convenient here is that these use cases can be tested and tweaked in short cycles, thanks to varied market expectations and landscapes.

Therefore, the time to value is relatively short.

However, the other side of this coin is a heavy, aggressive competition among domestic and international companies to make it in this closed ecosystem. Market competition is very brutal in China. In the US, there is domestic competition. Big companies in China Alibaba and Tencent are not considered competition in the US in a lot of sectors. The Chinese market is very crowded. They have domestic and international competition.

It is evident from data, statistics and views shared in this article that, in a way, China is battling this international competition problem by withholding its big data from the companies outside the nation, while it is increasingly investing in AI technologies in the U. This automatically pushes the population to use Baidu and the like.

According to the paper:. Companies, different levels of government, and even the general public have been active participants in this debate, which pits those advocating for greater data privacy protections against those pushing for data liberalization to benefit AI technologies.

Chinese software market: More opportunities, tougher competition - TechRepublic

However, these lax regulations appear to be executed only domestically. China is more aggressive when it comes to foreign competition. In this vein, China has pushed for national standards in AI-related industries, such as cloud computing, industrial software, and big data, that differ from international standards, a move that may favor Chinese companies over foreign companies in the domestic market.

Mike Long stressed the importance of shared knowledge going so far as to suggest China could do even more saying,. Just like the development of application depends on the development of technology, the development of technology depends on the development of scientific theory. Most players in the AI ecosystem rely on open source of several AI frameworks. Some players produce their own AI frameworks based on published papers. The open source of AI framework can greatly accelerate the development of AI and produce more and more powerful and useful AI tools and applications.

If big players are trying to close their source or to protect their AI technology by patents, the development of the AI ecosystem will be slowed down. Open is very important in the AI ecosystem. Due to political reasons, the US government is trying to be more and more closed. This is not a good trend for human society.

Innovation in China

The artificial barriers by political reasons can also pose a threat to the AI ecosystem. The speed of the development of the fundamental AI technology also affects the AI ecosystem. They are talking a lot about AI and how to use AI to bring economy to the next level. But it will take a long time. Also, they have a lot of other sectors to focus on. Healthcare is a vulnerable position. This system must be made more efficient. The government has to invest more in healthcare.

Otherwise, the government will have more problem down the road. Major themes on the international competition between China and the U. A couple of things are unique about China. First, Chinese entrepreneurs are much hungrier, they work much harder, and they are also much more tenacious. They are looking for all kinds of business models in which AI can help.

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AI in retail. AI in education. They are also working out operational excellence in applying AI to changing the way people eat, disrupting autonomous stores and autonomous fast food restaurants. Given that China has the largest population in the world and increasingly more connected users, this multilateral expansion is logical and opportune.

There is a plethora of AI use cases in China, and the national environment conducive to AI development is taking advantage of it to stay true to their AI goals. China is no different than the other big economies in the world [for choosing to focus on multilateral AI expansion].

Sectors like healthcare, transportation and energy will be benefiting a lot. Security and law enforcement fields enjoy a great amount of AI focus.

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The UAE countries, after AI funding, chose only certain strategic directions even though they are some of the wealthiest countries in the world. In countries like China, I do think they have a luxury of having a big economy. At one point, they might even become the largest economy in the world. So, they have the luxury of [branching into] many sectors and see later on which sector would be [more beneficial]. Lee also believes that Chinese companies are more open to taking risks and tackling the outcomes by working harder to find viable solutions.

In his words:. For example, in the U. In China, there is Meituan, which has built a ,person delivery engine, riding electric mopeds with batteries that run out pretty quickly and have to be replaced. And yet, they run it to enable every Chinese consumer to order food on their way home and have it delivered to them by the time they reach their homes.

The delivery time is 30 minutes and it costs about 70 cents. Then, they can break even. However, it must be noted that the business models of Yelp and Groupon are significantly different than those of Meituan. The minimum wage in China is also much lesser than that in the U. This may not be viable in the U. AI is also being used in a lot of white-collar job displacement, which will impact the U. I think China is moving faster because entrepreneurs are emboldened by the national priority on AI, funded by larger amounts of money.

How does it fit into China’s economic model?

They see this as the hottest area. AI startups. Wuzhen Institute statistics referred to in the same report show that the investment situation in China was very different in When asked how China and the U.

S measure up against each other in the AI superpower race, Lee opines that the race is an illusion and they are two parallel universes making independent progress. According to the above statistics derived from the BCG study, the U. This report claims that the Chinese are heavily investing in U.

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